var bibbase_data = {"data":"<img src=\"//bibbase.org/img/ajax-loader.gif\" id=\"spinner\"\n  style=\"display: none;\" alt=\"Loading..\" />\n\n<div id=\"bibbase\">\n\n  <script type=\"text/javascript\">\n    var bibbase = {\n      params: {\"bib\":\"http://www.di.unito.it/~mauro/publications/publications.bib\",\"jsonp\":\"1\",\"nocache\":\"1\",\"host\":\"bibbase.org\"},\n      data: [{\"bibtype\":\"article\",\"type\":\"article\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Cossatin\"],\"firstnames\":[\"Angelo\",\"Geninatti\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Mauro\"],\"firstnames\":[\"Noemi\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ardissono\"],\"firstnames\":[\"Liliana\"],\"suffixes\":[]}],\"journal\":\"IEEE Access\",\"title\":\"Promoting Green Fashion Consumption Through Digital Nudges in Recommender Systems\",\"year\":\"2024\",\"volume\":\"12\",\"number\":\"\",\"pages\":\"6812-6829\",\"keywords\":\"Green products;Image color analysis;Standards;Ethics;Sustainable development;Recommender systems;Clothing industry;Digital nudging;recommender systems;sustainable fashion consumption\",\"abstract\":\"The fashion industry accounts for a relevant portion of the environmental impact of EU consumption. Moreover, the expansion of fast fashion raises further concerns about the well-being of the people and animals involved in its production. Increasing the purchase of green clothes (i.e., sustainable garments that have been produced by brands conforming to good ethical standards) is thus key to the reduction of fashion’s environmental and social footprint. In this paper, we investigate digital nudges to promote the selection of green clothes in online catalogs. For this purpose, we propose a recommender system that combines the personalized suggestion of new and second-hand garments with the presentation of sustainability and ethical standards data to favor item comparison and support responsible selection decisions. This is different from standard recommender systems, which suggest homogeneous products, either new or second-hand. Moreover, it is challenged by the tendency to buy new products observed in the literature about clothing consumption. In a user study involving 251 participants, we found that enhancing clothes recommendations with 1) sentences that promote second-hand garments and 2) visual labels that summarize items’ sustainability and brands’ ethical standards, sensibly reduced this tendency. Moreover, it induced some people to take the sustainability of products into account in their selection decisions. However, participants’ interest in brands’ ethical standards seemed to be secondary, especially regarding respect for animals. This finding reveals a need to enhance people’s awareness and sensitivity on this topic. Even though more work is needed to increase green, and especially ethical fashion consumption, our findings suggest the adoption of nudges in clothes recommender systems to enhance user awareness about items, their sustainability, and their social impact.\",\"doi\":\"10.1109/ACCESS.2024.3349710\",\"url_link\":\"https://ieeexplore.ieee.org/abstract/document/10380588\",\"url_paper\":\"2024_IEEE_Fashion.pdf\",\"bibtex\":\"@article{Geninatti-etal:24,\\r\\n  author={Cossatin, Angelo Geninatti and Mauro, Noemi and Ardissono, Liliana},\\r\\n  journal={IEEE Access}, \\r\\n  title={Promoting Green Fashion Consumption Through Digital Nudges in Recommender Systems}, \\r\\n  year={2024},\\r\\n  volume={12},\\r\\n  number={},\\r\\n  pages={6812-6829},\\r\\n  keywords={Green products;Image color analysis;Standards;Ethics;Sustainable development;Recommender systems;Clothing industry;Digital nudging;recommender systems;sustainable fashion consumption},\\r\\n  abstract={The fashion industry accounts for a relevant portion of the environmental impact of EU consumption. Moreover, the expansion of fast fashion raises further concerns about the well-being of the people and animals involved in its production. Increasing the purchase of green clothes (i.e., sustainable garments that have been produced by brands conforming to good ethical standards) is thus key to the reduction of fashion’s environmental and social footprint. In this paper, we investigate digital nudges to promote the selection of green clothes in online catalogs. For this purpose, we propose a recommender system that combines the personalized suggestion of new and second-hand garments with the presentation of sustainability and ethical standards data to favor item comparison and support responsible selection decisions. This is different from standard recommender systems, which suggest homogeneous products, either new or second-hand. Moreover, it is challenged by the tendency to buy new products observed in the literature about clothing consumption. In a user study involving 251 participants, we found that enhancing clothes recommendations with 1) sentences that promote second-hand garments and 2) visual labels that summarize items’ sustainability and brands’ ethical standards, sensibly reduced this tendency. Moreover, it induced some people to take the sustainability of products into account in their selection decisions. However, participants’ interest in brands’ ethical standards seemed to be secondary, especially regarding respect for animals. This finding reveals a need to enhance people’s awareness and sensitivity on this topic. Even though more work is needed to increase green, and especially ethical fashion consumption, our findings suggest the adoption of nudges in clothes recommender systems to enhance user awareness about items, their sustainability, and their social impact.},\\r\\n  doi={10.1109/ACCESS.2024.3349710},\\r\\n  url_Link = {https://ieeexplore.ieee.org/abstract/document/10380588},\\r\\n  url_Paper = {2024_IEEE_Fashion.pdf},\\r\\n} \\r\\n\\r\\n\",\"author_short\":[\"Cossatin, A. G.\",\"Mauro, N.\",\"Ardissono, L.\"],\"key\":\"Geninatti-etal:24\",\"id\":\"Geninatti-etal:24\",\"bibbaseid\":\"cossatin-mauro-ardissono-promotinggreenfashionconsumptionthroughdigitalnudgesinrecommendersystems-2024\",\"role\":\"author\",\"urls\":{\" link\":\"https://ieeexplore.ieee.org/abstract/document/10380588\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2024_IEEE_Fashion.pdf\"},\"keyword\":[\"Green products;Image color analysis;Standards;Ethics;Sustainable development;Recommender systems;Clothing industry;Digital nudging;recommender systems;sustainable fashion consumption\"],\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"An Intelligent Support System to Help Teachers Plan Field Trips\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Mauro\"],\"firstnames\":[\"Noemi\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ardissono\"],\"firstnames\":[\"Liliana\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Cena\"],\"firstnames\":[\"Federica\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Scarpinati\"],\"firstnames\":[\"Livio\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Torta\"],\"firstnames\":[\"Gianluca\"],\"suffixes\":[]}],\"journal\":\"International Journal of Artificial Intelligence in Education\",\"pages\":\"1–32\",\"year\":\"2023\",\"publisher\":\"Springer\",\"doi\":\"10.1007/s40593-023-00366-x\",\"abstract\":\"Field trips enrich learning programs with out-of-school activities that can bring gains in students’ academic content knowledge and personal growth. However, they are a source of anxiety for teachers because of the bureaucracy, pedagogy, etc., risks they imply. To address this issue, we propose FieldTripOrganizer, a field trip planner based on the mixed-initiative approach aimed at increasing teachers’ autonomy and motivation in designing educational tours. The key aspects of our application are (i) the simultaneous provision of information filtering and automated scheduling support while the user designs the field trip, and (ii) the visual annotation of places and activities to show whether they can be included in the itinerary without violating its time constraints. Different from current tour planners, these functions enable the user to be in full control of the design process, delegating the system to manage difficult and burdensome tasks such as consistency checks and itinerary optimization. We evaluated FieldTripOrganizer in the use case of organizing a science field trip. In a preliminary user study involving 18 science teachers, our application turned up to be superior to a baseline tour planner in both usability and user experience. Moreover, the teachers declared that it was helpful, motivated them, and reduced their anxiety during the design of the field trips.\",\"url_link\":\"https://link.springer.com/article/10.1007/s40593-023-00366-x\",\"url_paper\":\"2023_IJAIE_Teachers.pdf\",\"bibtex\":\"@article{Mauro-etal:23b,  \\r\\ntitle={An Intelligent Support System to Help Teachers Plan Field Trips},\\r\\nauthor={Mauro, Noemi and Ardissono, Liliana and Cena, Federica\\r\\nand Scarpinati, Livio and Torta, Gianluca},\\r\\njournal={International Journal of Artificial Intelligence in Education},\\r\\npages={1--32},\\r\\nyear={2023},\\r\\npublisher={Springer},\\r\\ndoi={10.1007/s40593-023-00366-x},\\r\\nabstract={Field trips enrich learning programs with out-of-school activities that can bring gains in students’ academic content knowledge and personal growth. However, they are a source of anxiety for teachers because of the bureaucracy, pedagogy, etc., risks they imply. To address this issue, we propose FieldTripOrganizer, a field trip planner based on the mixed-initiative approach aimed at increasing teachers’ autonomy and motivation in designing educational tours. The key aspects of our application are (i) the simultaneous provision of information filtering and automated scheduling support while the user designs the field trip, and (ii) the visual annotation of places and activities to show whether they can be included in the itinerary without violating its time constraints. Different from current tour planners, these functions enable the user to be in full control of the design process, delegating the system to manage difficult and burdensome tasks such as consistency checks and itinerary optimization. We evaluated FieldTripOrganizer in the use case of organizing a science field trip. In a preliminary user study involving 18 science teachers, our application turned up to be superior to a baseline tour planner in both usability and user experience. Moreover, the teachers declared that it was helpful, motivated them, and reduced their anxiety during the design of the field trips.},\\r\\nurl_Link = {https://link.springer.com/article/10.1007/s40593-023-00366-x},\\r\\nurl_Paper = {2023_IJAIE_Teachers.pdf},\\r\\n}\\r\\n\\r\\n\",\"author_short\":[\"Mauro, N.\",\"Ardissono, L.\",\"Cena, F.\",\"Scarpinati, L.\",\"Torta, G.\"],\"key\":\"Mauro-etal:23b\",\"id\":\"Mauro-etal:23b\",\"bibbaseid\":\"mauro-ardissono-cena-scarpinati-torta-anintelligentsupportsystemtohelpteachersplanfieldtrips-2023\",\"role\":\"author\",\"urls\":{\" link\":\"https://link.springer.com/article/10.1007/s40593-023-00366-x\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2023_IJAIE_Teachers.pdf\"},\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Justification of Recommender Systems Results: a Service-based Approach\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Mauro\"],\"firstnames\":[\"Noemi\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Hu\"],\"firstnames\":[\"Zhongli\",\"Filippo\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ardissono\"],\"firstnames\":[\"Liliana\"],\"suffixes\":[]}],\"journal\":\"User Modeling and User-Adapted Interaction\",\"pages\":\"643–685\",\"year\":\"2023\",\"issue\":\"33\",\"publisher\":\"Springer\",\"doi\":\"10.1007/s11257-022-09345-8\",\"abstract\":\"With the increasing demand for predictable and accountable Artificial Intelligence, the ability to explain or justify recommender systems results by specifying how items are suggested, or why they are relevant, has become a primary goal. However, current models do not explicitly represent the services and actors that the user might encounter during the overall interaction with an item, from its selection to its usage. Thus, they cannot assess their impact on the user’s experience. To address this issue, we propose a novel justification approach that uses service models to (i) extract experience data from reviews concerning all the stages of interaction with items, at different granularity levels, and (ii) organize the justification of recommendations around those stages. In a user study, we compared our approach with baselines reflecting the state of the art in the justification of recommender systems results. The participants evaluated the Perceived User Awareness Support provided by our service-based justification models higher than the one offered by the baselines. Moreover, our models received higher Interface Adequacy and Satisfaction evaluations by users having different levels of Curiosity or low Need for Cognition (NfC). Differently, high NfC participants preferred a direct inspection of item reviews. These findings encourage the adoption of service models to justify recommender systems results but suggest the investigation of personalization strategies to suit diverse interaction needs.\",\"url_link\":\"https://link.springer.com/article/10.1007/s11257-022-09345-8\",\"url_paper\":\"2023_UMUAI_Justification.pdf\",\"bibtex\":\"@article{Mauro-etal:23c,  \\r\\ntitle={Justification of Recommender Systems Results: a Service-based Approach},\\r\\nauthor={Mauro, Noemi and Hu, Zhongli Filippo and Ardissono, Liliana},\\r\\njournal={User Modeling and User-Adapted Interaction},\\r\\npages={643–685},\\r\\nyear={2023},\\r\\nissue={33},\\r\\npublisher={Springer},\\r\\ndoi={10.1007/s11257-022-09345-8},\\r\\nabstract={With the increasing demand for predictable and accountable Artificial Intelligence, the ability to explain or justify recommender systems results by specifying how items are suggested, or why they are relevant, has become a primary goal. However, current models do not explicitly represent the services and actors that the user might encounter during the overall interaction with an item, from its selection to its usage. Thus, they cannot assess their impact on the user’s experience. To address this issue, we propose a novel justification approach that uses service models to (i) extract experience data from reviews concerning all the stages of interaction with items, at different granularity levels, and (ii) organize the justification of recommendations around those stages. In a user study, we compared our approach with baselines reflecting the state of the art in the justification of recommender systems results. The participants evaluated the Perceived User Awareness Support provided by our service-based justification models higher than the one offered by the baselines. Moreover, our models received higher Interface Adequacy and Satisfaction evaluations by users having different levels of Curiosity or low Need for Cognition (NfC). Differently, high NfC participants preferred a direct inspection of item reviews. These findings encourage the adoption of service models to justify recommender systems results but suggest the investigation of personalization strategies to suit diverse interaction needs.},\\r\\nurl_Link = {https://link.springer.com/article/10.1007/s11257-022-09345-8},\\r\\nurl_Paper = {2023_UMUAI_Justification.pdf},\\r\\n}\\r\\n\\r\\n\",\"author_short\":[\"Mauro, N.\",\"Hu, Z. F.\",\"Ardissono, L.\"],\"key\":\"Mauro-etal:23c\",\"id\":\"Mauro-etal:23c\",\"bibbaseid\":\"mauro-hu-ardissono-justificationofrecommendersystemsresultsaservicebasedapproach-2023\",\"role\":\"author\",\"urls\":{\" link\":\"https://link.springer.com/article/10.1007/s11257-022-09345-8\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2023_UMUAI_Justification.pdf\"},\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"downloads\":1,\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"How Do Sensory Features of Places Impact on Spatial Exploration of People with Autism? A User Study\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Cena\"],\"firstnames\":[\"Federica\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Mauro\"],\"firstnames\":[\"Noemi\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Rapp\"],\"firstnames\":[\"Amon\"],\"suffixes\":[]}],\"journal\":\"Information Technology & Tourism\",\"pages\":\"1–28\",\"year\":\"2023\",\"publisher\":\"Springer\",\"doi\":\"10.1007/s40558-023-00244-1\",\"abstract\":\"Autism is characterized by peculiar sensory processing. The sensory features of a place may have a crucial impact on the decision a person with autism makes when choosing what to visit in a tourist experience. We present a map-based mobile app, conceived for people with mid to high-functioning autism, which exploits sensory features of places to filter the information displayed and suggest locations that may be suitable for their idiosyncratic needs. The mobile app also exploits the crowdmapping paradigm in order to gather these features from the community of users, since they are not publicly available. We describe the results of a composite user evaluation of the app, made up of a task experiment, a field study, and an online questionnaire, which aims to understand (i) whether the explicit presentation of sensory information impacts the decision of going to a specific place, (ii) if the crowdmapping functionality is used and how and (iii) how people with autism navigate the mobile app. The results confirm the importance of the sensory features for people with autism in the decision to go to a specific place. Moreover, they show that crowdmapping may be a good solution to collect such features, but should be integrated with other methods. Finally, the results show that the preferred modality of exploring information about places is by using the map.\",\"url_link\":\"https://link.springer.com/article/10.1007/s40558-023-00244-1\",\"url_paper\":\"2023_ITT_Autism.pdf\",\"bibtex\":\"@article{Cena-etal:23,  \\r\\ntitle={How Do Sensory Features of Places Impact on Spatial Exploration of People with Autism? A User Study},\\r\\nauthor={Cena, Federica and Mauro, Noemi and Rapp, Amon},\\r\\njournal={Information Technology & Tourism},\\r\\npages={1--28},\\r\\nyear={2023},\\r\\npublisher={Springer},\\r\\ndoi={10.1007/s40558-023-00244-1},\\r\\nabstract={Autism is characterized by peculiar sensory processing. The sensory features of a place may have a crucial impact on the decision a person with autism makes when choosing what to visit in a tourist experience. We present a map-based mobile app, conceived for people with mid to high-functioning autism, which exploits sensory features of places to filter the information displayed and suggest locations that may be suitable for their idiosyncratic needs. The mobile app also exploits the crowdmapping paradigm in order to gather these features from the community of users, since they are not publicly available. We describe the results of a composite user evaluation of the app, made up of a task experiment, a field study, and an online questionnaire, which aims to understand (i) whether the explicit presentation of sensory information impacts the decision of going to a specific place, (ii) if the crowdmapping functionality is used and how and (iii) how people with autism navigate the mobile app. The results confirm the importance of the sensory features for people with autism in the decision to go to a specific place. Moreover, they show that crowdmapping may be a good solution to collect such features, but should be integrated with other methods. Finally, the results show that the preferred modality of exploring information about places is by using the map.},\\r\\nurl_Link = {https://link.springer.com/article/10.1007/s40558-023-00244-1},\\r\\nurl_Paper = {2023_ITT_Autism.pdf},\\r\\n}\\r\\n\\r\\n\",\"author_short\":[\"Cena, F.\",\"Mauro, N.\",\"Rapp, A.\"],\"key\":\"Cena-etal:23\",\"id\":\"Cena-etal:23\",\"bibbaseid\":\"cena-mauro-rapp-howdosensoryfeaturesofplacesimpactonspatialexplorationofpeoplewithautismauserstudy-2023\",\"role\":\"author\",\"urls\":{\" link\":\"https://link.springer.com/article/10.1007/s40558-023-00244-1\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2023_ITT_Autism.pdf\"},\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"downloads\":1,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Cossatin\"],\"firstnames\":[\"Angelo\",\"Geninatti\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Mauro\"],\"firstnames\":[\"Noemi\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ardissono\"],\"firstnames\":[\"Liliana\"],\"suffixes\":[]}],\"booktitle\":\"2023 IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)\",\"title\":\"Enriching Recommender Systems Results with Data about Sustainability and Ethical Standards of Brands\",\"year\":\"2023\",\"volume\":\"\",\"number\":\"\",\"pages\":\"238-242\",\"keywords\":\"Ethics;Green products;User interfaces;Behavioral sciences;Synchronization;Intelligent agents;Sustainable development;multi-list user interfaces;sustainability;fashion;human-centric computing and services\",\"abstract\":\"In recommender systems research, not only user preferences but also the sustainability and ethical standards of the services underlying item fruition should be considered to promote virtuous selection decisions. We analyze user interfaces that guide item comparison taking these evaluation criteria into account and we test a synchronized multi-list aimed at raising users' awareness about items by enabling them to (i) sort items according to different evaluation criteria, and (ii) simultaneously view the overall evaluation of an item and its ranking in each criterion. A user study in the fashion domain has shown that the presentation of data about environmental sustainability and ethical standards induces virtuous selection behavior and that participants are more confident in their selections when using our synchronized multi-list user interface than with single-lists.\",\"doi\":\"10.1109/WI-IAT59888.2023.00037\",\"url_link\":\"https://ieeexplore.ieee.org/abstract/document/10350100\",\"url_paper\":\"2023_WI_Fashion.pdf\",\"bibtex\":\"@INPROCEEDINGS{Geninatti:23,\\r\\n  author={Cossatin, Angelo Geninatti and Mauro, Noemi and Ardissono, Liliana},\\r\\n  booktitle={2023 IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)}, \\r\\n  title={Enriching Recommender Systems Results with Data about Sustainability and Ethical Standards of Brands}, \\r\\n  year={2023},\\r\\n  volume={},\\r\\n  number={},\\r\\n  pages={238-242},\\r\\n  keywords={Ethics;Green products;User interfaces;Behavioral sciences;Synchronization;Intelligent agents;Sustainable development;multi-list user interfaces;sustainability;fashion;human-centric computing and services},\\r\\n  abstract={In recommender systems research, not only user preferences but also the sustainability and ethical standards of the services underlying item fruition should be considered to promote virtuous selection decisions. We analyze user interfaces that guide item comparison taking these evaluation criteria into account and we test a synchronized multi-list aimed at raising users' awareness about items by enabling them to (i) sort items according to different evaluation criteria, and (ii) simultaneously view the overall evaluation of an item and its ranking in each criterion. A user study in the fashion domain has shown that the presentation of data about environmental sustainability and ethical standards induces virtuous selection behavior and that participants are more confident in their selections when using our synchronized multi-list user interface than with single-lists.},\\r\\n  doi={10.1109/WI-IAT59888.2023.00037},\\r\\n  url_Link = {https://ieeexplore.ieee.org/abstract/document/10350100},\\r\\n  url_Paper = {2023_WI_Fashion.pdf},\\r\\n  }\\r\\n\\r\\n\",\"author_short\":[\"Cossatin, A. G.\",\"Mauro, N.\",\"Ardissono, L.\"],\"key\":\"Geninatti:23\",\"id\":\"Geninatti:23\",\"bibbaseid\":\"cossatin-mauro-ardissono-enrichingrecommendersystemsresultswithdataaboutsustainabilityandethicalstandardsofbrands-2023\",\"role\":\"author\",\"urls\":{\" link\":\"https://ieeexplore.ieee.org/abstract/document/10350100\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2023_WI_Fashion.pdf\"},\"keyword\":[\"Ethics;Green products;User interfaces;Behavioral sciences;Synchronization;Intelligent agents;Sustainable development;multi-list user interfaces;sustainability;fashion;human-centric computing and services\"],\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Filippo\",\"Hu\"],\"firstnames\":[\"Zhongli\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Mauro\"],\"firstnames\":[\"Noemi\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ardissono\"],\"firstnames\":[\"Liliana\"],\"suffixes\":[]}],\"booktitle\":\"2023 IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)\",\"title\":\"Image-Based Information Filtering to Compare and Select Items\",\"year\":\"2023\",\"volume\":\"\",\"number\":\"\",\"pages\":\"1-8\",\"keywords\":\"Visualization;Image recognition;Focusing;User interfaces;Metadata;Information filters;Information filtering;review-based recommender systems;information filtering;human-centric computing and services\",\"doi\":\"10.1109/WI-IAT59888.2023.00007\",\"abstract\":\"Current recommender systems overlook the role of images in conveying information about items, focusing on metadata, ratings, and reviews for the generation and presentation of the suggestion lists. However, images describe different aspects of an item, which might be used to steer its presentation to satisfy specific information needs. We propose two user interfaces for image-based information filtering that support item exploration and comparison by analyzing the scenes described by the images, or the objects recognized in them. In a user test in the home-booking domain, we found that participants preferred scene-based information filtering to object-based and traditional visualization of items and reviews in product catalogs.\",\"url_link\":\"https://ieeexplore.ieee.org/abstract/document/10350174\",\"url_paper\":\"2023_WI_Airbnb.pdf\",\"bibtex\":\"@INPROCEEDINGS{Hu-etal:23,\\r\\n  author={Filippo Hu, Zhongli and Mauro, Noemi and Ardissono, Liliana},\\r\\n  booktitle={2023 IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)}, \\r\\n  title={Image-Based Information Filtering to Compare and Select Items}, \\r\\n  year={2023},\\r\\n  volume={},\\r\\n  number={},\\r\\n  pages={1-8},\\r\\n  keywords={Visualization;Image recognition;Focusing;User interfaces;Metadata;Information filters;Information filtering;review-based recommender systems;information filtering;human-centric computing and services},\\r\\n  doi={10.1109/WI-IAT59888.2023.00007},\\r\\n  abstract={Current recommender systems overlook the role of images in conveying information about items, focusing on metadata, ratings, and reviews for the generation and presentation of the suggestion lists. However, images describe different aspects of an item, which might be used to steer its presentation to satisfy specific information needs. We propose two user interfaces for image-based information filtering that support item exploration and comparison by analyzing the scenes described by the images, or the objects recognized in them. In a user test in the home-booking domain, we found that participants preferred scene-based information filtering to object-based and traditional visualization of items and reviews in product catalogs.},\\r\\n  url_Link = {https://ieeexplore.ieee.org/abstract/document/10350174},\\r\\n  url_Paper = {2023_WI_Airbnb.pdf},\\r\\n  }\\r\\n\\r\\n\",\"author_short\":[\"Filippo Hu, Z.\",\"Mauro, N.\",\"Ardissono, L.\"],\"key\":\"Hu-etal:23\",\"id\":\"Hu-etal:23\",\"bibbaseid\":\"filippohu-mauro-ardissono-imagebasedinformationfilteringtocompareandselectitems-2023\",\"role\":\"author\",\"urls\":{\" link\":\"https://ieeexplore.ieee.org/abstract/document/10350174\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2023_WI_Airbnb.pdf\"},\"keyword\":[\"Visualization;Image recognition;Focusing;User interfaces;Metadata;Information filters;Information filtering;review-based recommender systems;information filtering;human-centric computing and services\"],\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Hu\"],\"firstnames\":[\"Zhongli\",\"Filippo\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Mauro\"],\"firstnames\":[\"Noemi\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Petrone\"],\"firstnames\":[\"Giovanna\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ardissono\"],\"firstnames\":[\"Liliana\"],\"suffixes\":[]}],\"title\":\"Service-based Presentation of Multimodal Information for the Justification of Recommender Systems Results\",\"year\":\"2023\",\"isbn\":\"9781450399326\",\"publisher\":\"Association for Computing Machinery\",\"address\":\"New York, NY, USA\",\"doi\":\"10.1145/3565472.3592962\",\"abstract\":\"The current models for the explanation and justification of recommender systems results focus on qualitative and quantitative data about items, overlooking the power of images to describe the different aspects of experience that the consumer should expect from their selection to post-sales. In the present paper, we extend previous justification models by exploiting object recognition on images to support a service-oriented presentation of multimodal (textual, quantitative, and images) information about items. As a testbed for our model, we chose the home-booking domain. In a user study, we found that item comparison can be enhanced by empowering the user to filter multimodal data based on a set of evaluation dimensions describing the experience with items. These results encourage the introduction of service-based filters for multimodal information retrieval in product and service catalogs.\",\"booktitle\":\"Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization\",\"pages\":\"46–53\",\"numpages\":\"8\",\"keywords\":\"Images, Justification of Recommender Systems Results, Service Models\",\"location\":\"Limassol, Cyprus\",\"series\":\"UMAP '23\",\"url_link\":\"https://dl.acm.org/doi/abs/10.1145/3565472.3592962\",\"url_paper\":\"2023_UMAP_Airbnb.pdf\",\"bibtex\":\"@inproceedings{Hu-etal:23b,\\r\\nauthor = {Hu, Zhongli Filippo and Mauro, Noemi and Petrone, Giovanna and Ardissono, Liliana},\\r\\ntitle = {Service-based Presentation of Multimodal Information for the Justification of Recommender Systems Results},\\r\\nyear = {2023},\\r\\nisbn = {9781450399326},\\r\\npublisher = {Association for Computing Machinery},\\r\\naddress = {New York, NY, USA},\\r\\ndoi = {10.1145/3565472.3592962},\\r\\nabstract = {The current models for the explanation and justification of recommender systems results focus on qualitative and quantitative data about items, overlooking the power of images to describe the different aspects of experience that the consumer should expect from their selection to post-sales. In the present paper, we extend previous justification models by exploiting object recognition on images to support a service-oriented presentation of multimodal (textual, quantitative, and images) information about items. As a testbed for our model, we chose the home-booking domain. In a user study, we found that item comparison can be enhanced by empowering the user to filter multimodal data based on a set of evaluation dimensions describing the experience with items. These results encourage the introduction of service-based filters for multimodal information retrieval in product and service catalogs.},\\r\\nbooktitle = {Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization},\\r\\npages = {46–53},\\r\\nnumpages = {8},\\r\\nkeywords = {Images, Justification of Recommender Systems Results, Service Models},\\r\\nlocation = {Limassol, Cyprus},\\r\\nseries = {UMAP '23},\\r\\nurl_Link = {https://dl.acm.org/doi/abs/10.1145/3565472.3592962},\\r\\nurl_Paper = {2023_UMAP_Airbnb.pdf},\\r\\n}\\r\\n\\r\\n\",\"author_short\":[\"Hu, Z. F.\",\"Mauro, N.\",\"Petrone, G.\",\"Ardissono, L.\"],\"key\":\"Hu-etal:23b\",\"id\":\"Hu-etal:23b\",\"bibbaseid\":\"hu-mauro-petrone-ardissono-servicebasedpresentationofmultimodalinformationforthejustificationofrecommendersystemsresults-2023\",\"role\":\"author\",\"urls\":{\" link\":\"https://dl.acm.org/doi/abs/10.1145/3565472.3592962\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2023_UMAP_Airbnb.pdf\"},\"keyword\":[\"Images\",\"Justification of Recommender Systems Results\",\"Service Models\"],\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Ardissono\"],\"firstnames\":[\"Liliana\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Bona\"],\"firstnames\":[\"Francesca\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Concilio\"],\"firstnames\":[\"Carmelina\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Cravero\"],\"firstnames\":[\"Ester\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ferraris\"],\"firstnames\":[\"Stefano\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ferrero\"],\"firstnames\":[\"Fabio\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Geninatti\",\"Cossatin\"],\"firstnames\":[\"Angelo\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Giardino\"],\"firstnames\":[\"Marco\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Magnano\"],\"firstnames\":[\"Guido\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Mattutino\"],\"firstnames\":[\"Claudio\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Mauro\"],\"firstnames\":[\"Noemi\"],\"suffixes\":[]}],\"title\":\"Demo: the Triangolazioni Mobile Guide for Exploring the Interconnections between Science, Art and Territory\",\"year\":\"2023\",\"isbn\":\"9798400708060\",\"publisher\":\"Association for Computing Machinery\",\"address\":\"New York, NY, USA\",\"url\":\"https://doi.org/10.1145/3605390.3610808\",\"doi\":\"10.1145/3605390.3610808\",\"abstract\":\"Most Cultural Heritage sites are immersed in parallel and interlaced stories about art, history, and science, which are typically presented as isolated narratives, providing a partial view of the richness of such places. To address this issue, the Triangolazioni project of the University of Torino has developed a mobile app that enables the customer to gain an overall view of these stories, and their interconnections, by hopping from one to the other, depending on her/his information interests. This demo paper presents the Triangolazioni mobile guide, which supports the thematic exploration of Points of Interest through the navigation, and the exploration of narratives based on their thematic similarity as well as on the Points of Interest they talk about.\",\"booktitle\":\"Proceedings of the 15th Biannual Conference of the Italian SIGCHI Chapter\",\"articleno\":\"51\",\"numpages\":\"4\",\"keywords\":\"Cultural Heritage, location-based hypertext, mobile guides\",\"series\":\"CHItaly '23\",\"url_link\":\"https://dl.acm.org/doi/abs/10.1145/3605390.3610808\",\"url_paper\":\"2023_CHITALY_Triangolazioni.pdf\",\"bibtex\":\"@inproceedings{Ardissono-23,\\r\\nauthor = {Ardissono, Liliana and Bona, Francesca and Concilio, Carmelina and Cravero, Ester and Ferraris, Stefano and Ferrero, Fabio and Geninatti Cossatin, Angelo and Giardino, Marco and Magnano, Guido and Mattutino, Claudio and Mauro, Noemi},\\r\\ntitle = {Demo: the Triangolazioni Mobile Guide for Exploring the Interconnections between Science, Art and Territory},\\r\\nyear = {2023},\\r\\nisbn = {9798400708060},\\r\\npublisher = {Association for Computing Machinery},\\r\\naddress = {New York, NY, USA},\\r\\nurl = {https://doi.org/10.1145/3605390.3610808},\\r\\ndoi = {10.1145/3605390.3610808},\\r\\nabstract = {Most Cultural Heritage sites are immersed in parallel and interlaced stories about art, history, and science, which are typically presented as isolated narratives, providing a partial view of the richness of such places. To address this issue, the Triangolazioni project of the University of Torino has developed a mobile app that enables the customer to gain an overall view of these stories, and their interconnections, by hopping from one to the other, depending on her/his information interests. This demo paper presents the Triangolazioni mobile guide, which supports the thematic exploration of Points of Interest through the navigation, and the exploration of narratives based on their thematic similarity as well as on the Points of Interest they talk about.},\\r\\nbooktitle = {Proceedings of the 15th Biannual Conference of the Italian SIGCHI Chapter},\\r\\narticleno = {51},\\r\\nnumpages = {4},\\r\\nkeywords = {Cultural Heritage, location-based hypertext, mobile guides},\\r\\nseries = {CHItaly '23},\\r\\nurl_Link = {https://dl.acm.org/doi/abs/10.1145/3605390.3610808},\\r\\nurl_Paper = {2023_CHITALY_Triangolazioni.pdf},\\r\\n}\\r\\n\\r\\n\\r\\n\",\"author_short\":[\"Ardissono, L.\",\"Bona, F.\",\"Concilio, C.\",\"Cravero, E.\",\"Ferraris, S.\",\"Ferrero, F.\",\"Geninatti Cossatin, A.\",\"Giardino, M.\",\"Magnano, G.\",\"Mattutino, C.\",\"Mauro, N.\"],\"key\":\"Ardissono-23\",\"id\":\"Ardissono-23\",\"bibbaseid\":\"ardissono-bona-concilio-cravero-ferraris-ferrero-geninatticossatin-giardino-etal-demothetriangolazionimobileguideforexploringtheinterconnectionsbetweenscienceartandterritory-2023\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://doi.org/10.1145/3605390.3610808\",\" link\":\"https://dl.acm.org/doi/abs/10.1145/3605390.3610808\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2023_CHITALY_Triangolazioni.pdf\"},\"keyword\":[\"Cultural Heritage\",\"location-based hypertext\",\"mobile guides\"],\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"firstnames\":[\"Noemi\"],\"propositions\":[],\"lastnames\":[\"Mauro\"],\"suffixes\":[]},{\"firstnames\":[\"Zhongli\",\"Filippo\"],\"propositions\":[],\"lastnames\":[\"Hu\"],\"suffixes\":[]},{\"firstnames\":[\"Giovanna\"],\"propositions\":[],\"lastnames\":[\"Petrone\"],\"suffixes\":[]},{\"firstnames\":[\"Marino\"],\"propositions\":[],\"lastnames\":[\"Segnan\"],\"suffixes\":[]},{\"firstnames\":[\"Claudio\"],\"propositions\":[],\"lastnames\":[\"Mattutino\"],\"suffixes\":[]}],\"title\":\"Impact of Users’ Cultural Background on Multi-faceted Trust-based Recommender Systems\",\"year\":\"2023\",\"booktitle\":\"Joint Proceedings of the ACM IUI 2023 Workshops - Workshop on Social and Cultural Interaction with Personalized Interfaces (SOCIALIZE)\",\"series\":\"CEUR Workshop Proceedings\",\"volume\":\"3359\",\"publisher\":\"CEUR-WS.org\",\"url_link\":\"https://ceur-ws.org/Vol-3359/paper32.pdf\",\"url_paper\":\"2023_SOCIALIZE_Trust.pdf\",\"doi\":\"https://ceur-ws.org/Vol-3359/paper32.pdf\",\"keywords\":\"Multi-faceted Reputation Model, Trust-based Recommender Systems, Social Relations, Cultural Background of Users, Web searching and information discovery, Recommender systems\",\"abstract\":\"Trust-based recommender systems usually overlook the cultural background of people when making suggestions. In this paper, we propose some strategies to include the home country of users in trust-based recommendation algorithms and we aim to understand if this information can improve the recommender system performance. \",\"bibtex\":\"@inproceedings{Mauro:23b,\\r\\n  author = {Noemi Mauro and Zhongli Filippo Hu and Giovanna Petrone and Marino Segnan and Claudio Mattutino},\\r\\n  title = {Impact of Users’ Cultural Background on Multi-faceted Trust-based Recommender Systems},\\r\\n  year = {2023},\\r\\n  booktitle = {Joint Proceedings of the ACM IUI 2023 Workshops - Workshop on Social and Cultural Interaction with Personalized Interfaces (SOCIALIZE)},\\r\\n  series    = {{CEUR} Workshop Proceedings},\\r\\n  volume    = {3359},\\r\\n  publisher = {CEUR-WS.org},\\r\\n  url_Link       = {https://ceur-ws.org/Vol-3359/paper32.pdf},\\r\\n  url_Paper = {2023_SOCIALIZE_Trust.pdf},\\r\\n  doi       = {https://ceur-ws.org/Vol-3359/paper32.pdf},\\r\\n  keywords = {Multi-faceted Reputation Model, Trust-based Recommender Systems, Social Relations, Cultural Background of Users, Web\\r\\nsearching and information discovery, Recommender systems},\\r\\n  abstract = {Trust-based recommender systems usually overlook the cultural background of people when making suggestions. In this\\r\\npaper, we propose some strategies to include the home country of users in trust-based recommendation algorithms and we\\r\\naim to understand if this information can improve the recommender system performance.\\r\\n}\\r\\n}\\r\\n\\r\\n\\r\\n\",\"author_short\":[\"Mauro, N.\",\"Hu, Z. F.\",\"Petrone, G.\",\"Segnan, M.\",\"Mattutino, C.\"],\"key\":\"Mauro:23b\",\"id\":\"Mauro:23b\",\"bibbaseid\":\"mauro-hu-petrone-segnan-mattutino-impactofusersculturalbackgroundonmultifacetedtrustbasedrecommendersystems-2023\",\"role\":\"author\",\"urls\":{\" link\":\"https://ceur-ws.org/Vol-3359/paper32.pdf\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2023_SOCIALIZE_Trust.pdf\"},\"keyword\":[\"Multi-faceted Reputation Model\",\"Trust-based Recommender Systems\",\"Social Relations\",\"Cultural Background of Users\",\"Web searching and information discovery\",\"Recommender systems\"],\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"downloads\":1,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Geninatti\",\"Cossatin\"],\"firstnames\":[\"Angelo\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Mauro\"],\"firstnames\":[\"Noemi\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Izzi\"],\"firstnames\":[\"Gianmarco\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ardissono\"],\"firstnames\":[\"Liliana\"],\"suffixes\":[]}],\"title\":\"Synchronized Multi-list User Interfaces for Fashion Catalogs\",\"year\":\"2023\",\"isbn\":\"9781450398916\",\"publisher\":\"Association for Computing Machinery\",\"address\":\"New York, NY, USA\",\"doi\":\"10.1145/3563359.3597382\",\"abstract\":\"Several online catalogs use carousels to present thematic lists of products, based on different optimization criteria. While this makes it possible to search for items according to diverse relevance perspectives, it hardly supports an integrated evaluation, which is key to critical consuming behavior. To address this issue, we propose a synchronized multi-list model that (i) enriches item presentation by visualizing its evaluation and (ii) enables the user to simultaneously center the carousels of the multi-list on the item in her/his focus of attention, showing its ranking in each list. This type of visualization is aimed at enhancing the transparency of results by enabling the user to simultaneously compare products across all the evaluation criteria applied within the multi-list. As a testbed for our model, we selected fashion catalogs, with the aim of making users aware of clothes’ evaluation with respect to the sustainability and ethical issues concerning the production practices applied by their brands. In a preliminary user study, we analyzed users’ gaze behavior to reveal how people interact with the carousels of the multi-list for product comparison. The results show that people explored the position of items in all the carousels, following a pattern that differs from the top-left triangle observed in traditional multi-lists, and they selected items having a fairly good ranking, showing their interest in sustainability and ethical standards.\",\"booktitle\":\"Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization\",\"pages\":\"224–228\",\"numpages\":\"5\",\"keywords\":\"Environmental Sustainability, Ethics, Recommender Systems, Transparent User Interfaces\",\"location\":\"Limassol, Cyprus\",\"series\":\"UMAP '23 Adjunct\",\"url_link\":\"https://dl.acm.org/doi/abs/10.1145/3563359.3597382\",\"url_paper\":\"2023_EXUM_Sustainability.pdf\",\"bibtex\":\"@inproceedings{Geninatti-23c,\\r\\nauthor = {Geninatti Cossatin, Angelo and Mauro, Noemi and Izzi, Gianmarco and Ardissono, Liliana},\\r\\ntitle = {Synchronized Multi-list User Interfaces for Fashion Catalogs},\\r\\nyear = {2023},\\r\\nisbn = {9781450398916},\\r\\npublisher = {Association for Computing Machinery},\\r\\naddress = {New York, NY, USA},\\r\\ndoi = {10.1145/3563359.3597382},\\r\\nabstract = {Several online catalogs use carousels to present thematic lists of products, based on different optimization criteria. While this makes it possible to search for items according to diverse relevance perspectives, it hardly supports an integrated evaluation, which is key to critical consuming behavior. To address this issue, we propose a synchronized multi-list model that (i) enriches item presentation by visualizing its evaluation and (ii) enables the user to simultaneously center the carousels of the multi-list on the item in her/his focus of attention, showing its ranking in each list. This type of visualization is aimed at enhancing the transparency of results by enabling the user to simultaneously compare products across all the evaluation criteria applied within the multi-list. As a testbed for our model, we selected fashion catalogs, with the aim of making users aware of clothes’ evaluation with respect to the sustainability and ethical issues concerning the production practices applied by their brands. In a preliminary user study, we analyzed users’ gaze behavior to reveal how people interact with the carousels of the multi-list for product comparison. The results show that people explored the position of items in all the carousels, following a pattern that differs from the top-left triangle observed in traditional multi-lists, and they selected items having a fairly good ranking, showing their interest in sustainability and ethical standards.},\\r\\nbooktitle = {Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization},\\r\\npages = {224–228},\\r\\nnumpages = {5},\\r\\nkeywords = {Environmental Sustainability, Ethics, Recommender Systems, Transparent User Interfaces},\\r\\nlocation = {Limassol, Cyprus},\\r\\nseries = {UMAP '23 Adjunct},\\r\\n  url_Link = {https://dl.acm.org/doi/abs/10.1145/3563359.3597382},\\r\\n  url_Paper = {2023_EXUM_Sustainability.pdf},\\r\\n}\\r\\n\\r\\n\",\"author_short\":[\"Geninatti Cossatin, A.\",\"Mauro, N.\",\"Izzi, G.\",\"Ardissono, L.\"],\"key\":\"Geninatti-23c\",\"id\":\"Geninatti-23c\",\"bibbaseid\":\"geninatticossatin-mauro-izzi-ardissono-synchronizedmultilistuserinterfacesforfashioncatalogs-2023\",\"role\":\"author\",\"urls\":{\" link\":\"https://dl.acm.org/doi/abs/10.1145/3563359.3597382\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2023_EXUM_Sustainability.pdf\"},\"keyword\":[\"Environmental Sustainability\",\"Ethics\",\"Recommender Systems\",\"Transparent User Interfaces\"],\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Cena\"],\"firstnames\":[\"Federica\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Mauro\"],\"firstnames\":[\"Noemi\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ardissono\"],\"firstnames\":[\"Liliana\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ferrero\"],\"firstnames\":[\"Fabio\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ferrigno\"],\"firstnames\":[\"Serena\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Rapp\"],\"firstnames\":[\"Amon\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Mattutino\"],\"firstnames\":[\"Claudio\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Keller\"],\"firstnames\":[\"Roberto\"],\"suffixes\":[]}],\"title\":\"CARES: an Inclusive Personalized Touristic System for Autism\",\"year\":\"2023\",\"isbn\":\"9781450398916\",\"publisher\":\"Association for Computing Machinery\",\"address\":\"New York, NY, USA\",\"doi\":\"10.1145/3563359.3596665\",\"abstract\":\"People have different interests and cognitive capabilities that should be taken into account when developing technological support for cultural heritage exploration. In this project, we aim to help people with autism to plan a tourist trip by taking into account their interests and their cognitive skills. We plan to personalize the suggestion of touristic places and itineraries taking into account different types of constraints such as temporal and physical ones. Moreover, we aim to adapt the user interface of the system on the basis of the users’ capabilities to deliver the right information, using a proper visualization modality, avoiding information overload. In this way, people will be able to know in advance the plan for the trip and this would reduce their level of stress and anxiety. In this paper, we focus on the first stage of the project, i.e. the qualitative interviews we carried out together with the user requirements for our application.\",\"booktitle\":\"Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization\",\"pages\":\"363–366\",\"numpages\":\"4\",\"keywords\":\"Accessible Tourism, Autism, Mobile Guide\",\"location\":\"Limassol, Cyprus\",\"series\":\"UMAP '23 Adjunct\",\"url_link\":\"https://dl.acm.org/doi/abs/10.1145/3563359.3596665\",\"url_paper\":\"2023_PATCH_CARES.pdf\",\"bibtex\":\"@inproceedings{Cena-etal:23b,\\r\\nauthor = {Cena, Federica and Mauro, Noemi and Ardissono, Liliana and Ferrero, Fabio and Ferrigno, Serena and Rapp, Amon and Mattutino, Claudio and Keller, Roberto},\\r\\ntitle = {CARES: an Inclusive Personalized Touristic System for Autism},\\r\\nyear = {2023},\\r\\nisbn = {9781450398916},\\r\\npublisher = {Association for Computing Machinery},\\r\\naddress = {New York, NY, USA},\\r\\ndoi = {10.1145/3563359.3596665},\\r\\nabstract = {People have different interests and cognitive capabilities that should be taken into account when developing technological support for cultural heritage exploration. In this project, we aim to help people with autism to plan a tourist trip by taking into account their interests and their cognitive skills. We plan to personalize the suggestion of touristic places and itineraries taking into account different types of constraints such as temporal and physical ones. Moreover, we aim to adapt the user interface of the system on the basis of the users’ capabilities to deliver the right information, using a proper visualization modality, avoiding information overload. In this way, people will be able to know in advance the plan for the trip and this would reduce their level of stress and anxiety. In this paper, we focus on the first stage of the project, i.e. the qualitative interviews we carried out together with the user requirements for our application.},\\r\\nbooktitle = {Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization},\\r\\npages = {363–366},\\r\\nnumpages = {4},\\r\\nkeywords = {Accessible Tourism, Autism, Mobile Guide},\\r\\nlocation = {Limassol, Cyprus},\\r\\nseries = {UMAP '23 Adjunct},\\r\\n  url_Link = {https://dl.acm.org/doi/abs/10.1145/3563359.3596665},\\r\\n  url_Paper = {2023_PATCH_CARES.pdf},\\r\\n}\\r\\n\\r\\n\",\"author_short\":[\"Cena, F.\",\"Mauro, N.\",\"Ardissono, L.\",\"Ferrero, F.\",\"Ferrigno, S.\",\"Rapp, A.\",\"Mattutino, C.\",\"Keller, R.\"],\"key\":\"Cena-etal:23b\",\"id\":\"Cena-etal:23b\",\"bibbaseid\":\"cena-mauro-ardissono-ferrero-ferrigno-rapp-mattutino-keller-caresaninclusivepersonalizedtouristicsystemforautism-2023\",\"role\":\"author\",\"urls\":{\" link\":\"https://dl.acm.org/doi/abs/10.1145/3563359.3596665\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2023_PATCH_CARES.pdf\"},\"keyword\":[\"Accessible Tourism\",\"Autism\",\"Mobile Guide\"],\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Ardissono\"],\"firstnames\":[\"Liliana\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Cena\"],\"firstnames\":[\"Federica\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Mauro\"],\"firstnames\":[\"Noemi\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Palomba\"],\"firstnames\":[\"Mauro\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Parizia\"],\"firstnames\":[\"Francesco\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Perotti\"],\"firstnames\":[\"Luigi\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Scarpinati\"],\"firstnames\":[\"Livio\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Torta\"],\"firstnames\":[\"Gianluca\"],\"suffixes\":[]}],\"title\":\"A Mobile App Supporting Field Trip Organization for Natural and Cultural Heritage Exploration\",\"year\":\"2023\",\"isbn\":\"9781450398916\",\"publisher\":\"Association for Computing Machinery\",\"address\":\"New York, NY, USA\",\"doi\":\"10.1145/3563359.3596669\",\"abstract\":\"Mobile tourist guides have great potential to promote Cultural and Natural Heritage but usually do this from a narrow perspective, such as a single exhibition or museum, failing to provide users with an integrated viewpoint of the resources available in a geographical area. The organization of tourist plans might thus be challenging because of the many information sources to be consulted. Current tourist guides also limit users’ freedom in building custom trips because they almost fully control the itinerary generation process. Moreover, they fail to recognize that cultural and scientific tours might include both the visit to places and the execution of activities aimed at deepening people’s experience through experimental work. This is a limitation, especially for the learning field, which recognizes the importance of practical activities in strengthening students’ knowledge and understanding. To address this issue, we developed the FieldTripOrganizer application as a model to create mobile tourist guides that support the design of plans suitable for cultural/scientific tourism. FieldTripOrganizer empowers users to design a trip by helping them select Points of Interest and activities that are relevant to the interests and knowledge background of the people who will participate in the tour. Moreover, it simultaneously provides information filtering, automated scheduling, and user-awareness support to let users compose the itinerary from scratch while being informed about the feasibility of the options that can be included without violating its time constraints. We exploited FieldTripOrganizer to present the Cultural and Natural resources provided by the Geodidalab scientific laboratory located in the area of Ivrea (Piedmont, Italy).\",\"booktitle\":\"Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization\",\"pages\":\"355–362\",\"numpages\":\"8\",\"keywords\":\"Natural Heritage, Field Trip Organization, Cultural Heritage\",\"location\":\"Limassol, Cyprus\",\"series\":\"UMAP '23 Adjunct\",\"url_link\":\"https://dl.acm.org/doi/abs/10.1145/3563359.3596669\",\"url_paper\":\"2023_PATCH_Openalplab.pdf\",\"bibtex\":\"@inproceedings{Ardissono-etal:23c,\\r\\nauthor = {Ardissono, Liliana and Cena, Federica and Mauro, Noemi and Palomba, Mauro and Parizia, Francesco and Perotti, Luigi and Scarpinati, Livio and Torta, Gianluca},\\r\\ntitle = {A Mobile App Supporting Field Trip Organization for Natural and Cultural Heritage Exploration},\\r\\nyear = {2023},\\r\\nisbn = {9781450398916},\\r\\npublisher = {Association for Computing Machinery},\\r\\naddress = {New York, NY, USA},\\r\\ndoi = {10.1145/3563359.3596669},\\r\\nabstract = {Mobile tourist guides have great potential to promote Cultural and Natural Heritage but usually do this from a narrow perspective, such as a single exhibition or museum, failing to provide users with an integrated viewpoint of the resources available in a geographical area. The organization of tourist plans might thus be challenging because of the many information sources to be consulted. Current tourist guides also limit users’ freedom in building custom trips because they almost fully control the itinerary generation process. Moreover, they fail to recognize that cultural and scientific tours might include both the visit to places and the execution of activities aimed at deepening people’s experience through experimental work. This is a limitation, especially for the learning field, which recognizes the importance of practical activities in strengthening students’ knowledge and understanding. To address this issue, we developed the FieldTripOrganizer application as a model to create mobile tourist guides that support the design of plans suitable for cultural/scientific tourism. FieldTripOrganizer empowers users to design a trip by helping them select Points of Interest and activities that are relevant to the interests and knowledge background of the people who will participate in the tour. Moreover, it simultaneously provides information filtering, automated scheduling, and user-awareness support to let users compose the itinerary from scratch while being informed about the feasibility of the options that can be included without violating its time constraints. We exploited FieldTripOrganizer to present the Cultural and Natural resources provided by the Geodidalab scientific laboratory located in the area of Ivrea (Piedmont, Italy).},\\r\\nbooktitle = {Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization},\\r\\npages = {355–362},\\r\\nnumpages = {8},\\r\\nkeywords = {Natural Heritage, Field Trip Organization, Cultural Heritage},\\r\\nlocation = {Limassol, Cyprus},\\r\\nseries = {UMAP '23 Adjunct},\\r\\n  url_Link = {https://dl.acm.org/doi/abs/10.1145/3563359.3596669},\\r\\n  url_Paper = {2023_PATCH_Openalplab.pdf},\\r\\n}\\r\\n\\r\\n\",\"author_short\":[\"Ardissono, L.\",\"Cena, F.\",\"Mauro, N.\",\"Palomba, M.\",\"Parizia, F.\",\"Perotti, L.\",\"Scarpinati, L.\",\"Torta, G.\"],\"key\":\"Ardissono-etal:23c\",\"id\":\"Ardissono-etal:23c\",\"bibbaseid\":\"ardissono-cena-mauro-palomba-parizia-perotti-scarpinati-torta-amobileappsupportingfieldtriporganizationfornaturalandculturalheritageexploration-2023\",\"role\":\"author\",\"urls\":{\" link\":\"https://dl.acm.org/doi/abs/10.1145/3563359.3596669\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2023_PATCH_Openalplab.pdf\"},\"keyword\":[\"Natural Heritage\",\"Field Trip Organization\",\"Cultural Heritage\"],\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Ardissono\"],\"firstnames\":[\"Liliana\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Mauro\"],\"firstnames\":[\"Noemi\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Petrelli\"],\"firstnames\":[\"Daniela\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Raptis\"],\"firstnames\":[\"George\",\"E.\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Wecker\"],\"firstnames\":[\"Alan\"],\"suffixes\":[]}],\"title\":\"14th International Workshop on Personalized Access to Cultural Heritage (PATCH 2023)\",\"year\":\"2023\",\"isbn\":\"9781450398916\",\"publisher\":\"Association for Computing Machinery\",\"address\":\"New York, NY, USA\",\"doi\":\"10.1145/3563359.3595622\",\"abstract\":\"Following the successful series of PATCH workshops, PATCH 2023 will again be the meeting point between state-of-the-art cultural heritage (CH) research and personalization research, focused on those using different types of technology, with emphasis on ubiquitous and adaptive scenarios, to enhance the personal experience in CH sites. The workshop is aimed at bringing together researchers and practitioners who are working on various aspects of cultural heritage and are interested in exploring the potential of state-of-the-art mobile and personalized technology (onsite as well as online) to enhance the CH visiting experience. The expected result of the workshop is a multidisciplinary research agenda that will inform future research directions and, hopefully, forge some research collaborations. This summary provides an overview of the papers that have been accepted for presentation at the workshop and for publication in its proceedings.\",\"booktitle\":\"Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization\",\"pages\":\"352–354\",\"numpages\":\"3\",\"keywords\":\"User Modeling., Personalization, Cultural Heritage\",\"location\":\"Limassol, Cyprus\",\"series\":\"UMAP '23 Adjunct\",\"url_link\":\"https://dl.acm.org/doi/abs/10.1145/3563359.3595622\",\"url_paper\":\"2023_PATCH_Workshop_Summary.pdf\",\"bibtex\":\"@inproceedings{Ardissono-etal:23b,\\r\\nauthor = {Ardissono, Liliana and Mauro, Noemi and Petrelli, Daniela and Raptis, George E. and Wecker, Alan},\\r\\ntitle = {14th International Workshop on Personalized Access to Cultural Heritage (PATCH 2023)},\\r\\nyear = {2023},\\r\\nisbn = {9781450398916},\\r\\npublisher = {Association for Computing Machinery},\\r\\naddress = {New York, NY, USA},\\r\\ndoi = {10.1145/3563359.3595622},\\r\\nabstract = {Following the successful series of PATCH workshops, PATCH 2023 will again be the meeting point between state-of-the-art cultural heritage (CH) research and personalization research, focused on those using different types of technology, with emphasis on ubiquitous and adaptive scenarios, to enhance the personal experience in CH sites. The workshop is aimed at bringing together researchers and practitioners who are working on various aspects of cultural heritage and are interested in exploring the potential of state-of-the-art mobile and personalized technology (onsite as well as online) to enhance the CH visiting experience. The expected result of the workshop is a multidisciplinary research agenda that will inform future research directions and, hopefully, forge some research collaborations. This summary provides an overview of the papers that have been accepted for presentation at the workshop and for publication in its proceedings.},\\r\\nbooktitle = {Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization},\\r\\npages = {352–354},\\r\\nnumpages = {3},\\r\\nkeywords = {User Modeling., Personalization, Cultural Heritage},\\r\\nlocation = {Limassol, Cyprus},\\r\\nseries = {UMAP '23 Adjunct},\\r\\n  url_Link = {https://dl.acm.org/doi/abs/10.1145/3563359.3595622},\\r\\n  url_Paper = {2023_PATCH_Workshop_Summary.pdf},\\r\\n}\\r\\n\\r\\n\\r\\n\",\"author_short\":[\"Ardissono, L.\",\"Mauro, N.\",\"Petrelli, D.\",\"Raptis, G. E.\",\"Wecker, A.\"],\"key\":\"Ardissono-etal:23b\",\"id\":\"Ardissono-etal:23b\",\"bibbaseid\":\"ardissono-mauro-petrelli-raptis-wecker-14thinternationalworkshoponpersonalizedaccesstoculturalheritagepatch2023-2023\",\"role\":\"author\",\"urls\":{\" link\":\"https://dl.acm.org/doi/abs/10.1145/3563359.3595622\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2023_PATCH_Workshop_Summary.pdf\"},\"keyword\":[\"User Modeling.\",\"Personalization\",\"Cultural Heritage\"],\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Using Consumer Feedback from Location-based Services in PoI Recommender Systems for People with Autism\",\"journal\":\"Expert Systems with Applications\",\"volume\":\"199\",\"pages\":\"116972\",\"year\":\"2022\",\"issn\":\"0957-4174\",\"doi\":\"10.1016/j.eswa.2022.116972\",\"author\":[{\"firstnames\":[\"Noemi\"],\"propositions\":[],\"lastnames\":[\"Mauro\"],\"suffixes\":[]},{\"firstnames\":[\"Liliana\"],\"propositions\":[],\"lastnames\":[\"Ardissono\"],\"suffixes\":[]},{\"firstnames\":[\"Stefano\"],\"propositions\":[],\"lastnames\":[\"Cocomazzi\"],\"suffixes\":[]},{\"firstnames\":[\"Federica\"],\"propositions\":[],\"lastnames\":[\"Cena\"],\"suffixes\":[]}],\"keywords\":\"Sensory features from reviews, Autism, Recommender systems\",\"abstract\":\"When suggesting Points of Interest (PoIs) to people with autism spectrum disorders, we must take into account that they have idiosyncratic sensory aversions to noise, brightness and other features that influence the way they perceive places. Therefore, recommender systems must deal with these aspects. However, the retrieval of sensory data about PoIs is a real challenge because most geographical information servers fail to provide this data. Moreover, ad-hoc crowdsourcing campaigns do not guarantee to cover large geographical areas and lack sustainability. Thus, we investigate the extraction of sensory data about places from the consumer feedback collected by location-based services, on which people spontaneously post reviews from all over the world. Specifically, we propose a model for the extraction of sensory data from the reviews about PoIs, and its integration in recommender systems to predict item ratings by considering both user preferences and compatibility information. We tested our approach with autistic and neurotypical people by integrating it into diverse recommendation algorithms. For the test, we used a dataset built in a crowdsourcing campaign and another one extracted from TripAdvisor reviews. The results show that the algorithms obtain the highest accuracy and ranking capability when using TripAdvisor data. Moreover, by jointly using these two datasets, the algorithms further improve their performance. These results encourage the use of consumer feedback as a reliable source of information about places in the development of inclusive recommender systems.\",\"url_link\":\"https://www.sciencedirect.com/science/article/abs/pii/S0957417422003980\",\"url_paper\":\"2022_ESWA_Autism.pdf\",\"bibtex\":\"@article{Mauro-etal:22b,  \\r\\ntitle = {Using Consumer Feedback from Location-based Services in PoI Recommender Systems for People with Autism},\\r\\njournal = {Expert Systems with Applications},\\r\\nvolume = {199},\\r\\npages = {116972},\\r\\nyear = {2022},\\r\\nissn = {0957-4174},\\r\\ndoi = {10.1016/j.eswa.2022.116972},\\r\\nauthor = {Noemi Mauro and Liliana Ardissono and Stefano Cocomazzi and Federica Cena},\\r\\nkeywords = {Sensory features from reviews, Autism, Recommender systems},\\r\\nabstract = {When suggesting Points of Interest (PoIs) to people with autism spectrum disorders, we must take into account that they have idiosyncratic sensory aversions to noise, brightness and other features that influence the way they perceive places. Therefore, recommender systems must deal with these aspects. However, the retrieval of sensory data about PoIs is a real challenge because most geographical information servers fail to provide this data. Moreover, ad-hoc crowdsourcing campaigns do not guarantee to cover large geographical areas and lack sustainability. Thus, we investigate the extraction of sensory data about places from the consumer feedback collected by location-based services, on which people spontaneously post reviews from all over the world. Specifically, we propose a model for the extraction of sensory data from the reviews about PoIs, and its integration in recommender systems to predict item ratings by considering both user preferences and compatibility information. We tested our approach with autistic and neurotypical people by integrating it into diverse recommendation algorithms. For the test, we used a dataset built in a crowdsourcing campaign and another one extracted from TripAdvisor reviews. The results show that the algorithms obtain the highest accuracy and ranking capability when using TripAdvisor data. Moreover, by jointly using these two datasets, the algorithms further improve their performance. These results encourage the use of consumer feedback as a reliable source of information about places in the development of inclusive recommender systems.},\\r\\nurl_Link = {https://www.sciencedirect.com/science/article/abs/pii/S0957417422003980},\\r\\nurl_Paper = {2022_ESWA_Autism.pdf},\\r\\n}\\r\\n\\r\\n\",\"author_short\":[\"Mauro, N.\",\"Ardissono, L.\",\"Cocomazzi, S.\",\"Cena, F.\"],\"key\":\"Mauro-etal:22b\",\"id\":\"Mauro-etal:22b\",\"bibbaseid\":\"mauro-ardissono-cocomazzi-cena-usingconsumerfeedbackfromlocationbasedservicesinpoirecommendersystemsforpeoplewithautism-2022\",\"role\":\"author\",\"urls\":{\" link\":\"https://www.sciencedirect.com/science/article/abs/pii/S0957417422003980\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2022_ESWA_Autism.pdf\"},\"keyword\":[\"Sensory features from reviews\",\"Autism\",\"Recommender systems\"],\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"downloads\":2,\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Mauro\"],\"firstnames\":[\"Noemi\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Hu\"],\"firstnames\":[\"Zhongli\",\"Filippo\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ardissono\"],\"firstnames\":[\"Liliana\"],\"suffixes\":[]}],\"journal\":\"IEEE Access\",\"title\":\"Service-Aware Personalized Item Recommendation\",\"year\":\"2022\",\"volume\":\"10\",\"number\":\"\",\"pages\":\"26715-26729\",\"doi\":\"10.1109/ACCESS.2022.3157442\",\"abstract\":\"Current recommender systems employ item-centric properties to estimate ratings and present the results to the user. However, recent studies highlight the fact that the stages of item fruition also involve extrinsic factors, such as the interaction with the service provider before, during and after item selection. In other words, a holistic view of consumer experience, including local properties of items, as well as consumers’ perceptions of item fruition, should be adopted to enhance user awareness and decision-making. In this work, we integrate recommender systems with service models to reason about the different stages of item fruition. By exploiting the Service Journey Maps to define service-based item and user profiles, we develop a novel family of recommender systems that evaluate items by taking preference management and overall consumer experience into account. Moreover, we introduce a two-level visual model to provide users with different information about recommendation results: (i) the higher level summarizes consumer experience about items and supports the identification of promising suggestions within a possibly long list of results; (ii) the lower level enables the exploration of detailed data about the local properties of items. In a user test instantiated in the home-booking domain, we compared our models to standard recommender systems. We found that the service-based algorithms that only use item fruition experience excel in ranking and minimize the error in rating estimation. Moreover, the combination of data about item fruition experience and item properties achieves slightly lower recommendation performance; however, it enhances users’ perceptions of the awareness and the decision-making support provided by the system. These results encourage the adoption of service-based models to summarize user preferences and experience in recommender systems.\",\"url_link\":\"https://ieeexplore.ieee.org/abstract/document/9729739\",\"url_paper\":\"2022_IEEE_Access_Service.pdf\",\"bibtex\":\"@article{Mauro-etal:22a,  \\r\\nauthor={Mauro, Noemi and Hu, Zhongli Filippo and Ardissono, Liliana},  \\r\\njournal={IEEE Access},   \\r\\ntitle={Service-Aware Personalized Item Recommendation},   \\r\\nyear={2022},  \\r\\nvolume={10},  \\r\\nnumber={},  \\r\\npages={26715-26729},  \\r\\ndoi={10.1109/ACCESS.2022.3157442},\\r\\nabstract = {Current recommender systems employ item-centric properties to estimate ratings and present the results to the user. However, recent studies highlight the fact that the stages of item fruition also involve extrinsic factors, such as the interaction with the service provider before, during and after item selection. In other words, a holistic view of consumer experience, including local properties of items, as well as consumers’ perceptions of item fruition, should be adopted to enhance user awareness and decision-making. In this work, we integrate recommender systems with service models to reason about the different stages of item fruition. By exploiting the Service Journey Maps to define service-based item and user profiles, we develop a novel family of recommender systems that evaluate items by taking preference management and overall consumer experience into account. Moreover, we introduce a two-level visual model to provide users with different information about recommendation results: (i) the higher level summarizes consumer experience about items and supports the identification of promising suggestions within a possibly long list of results; (ii) the lower level enables the exploration of detailed data about the local properties of items. In a user test instantiated in the home-booking domain, we compared our models to standard recommender systems. We found that the service-based algorithms that only use item fruition experience excel in ranking and minimize the error in rating estimation. Moreover, the combination of data about item fruition experience and item properties achieves slightly lower recommendation performance; however, it enhances users’ perceptions of the awareness and the decision-making support provided by the system. These results encourage the adoption of service-based models to summarize user preferences and experience in recommender systems.},\\r\\nurl_Link = {https://ieeexplore.ieee.org/abstract/document/9729739},\\r\\nurl_Paper = {2022_IEEE_Access_Service.pdf},\\r\\n}\\r\\n\\r\\n\",\"author_short\":[\"Mauro, N.\",\"Hu, Z. F.\",\"Ardissono, L.\"],\"key\":\"Mauro-etal:22a\",\"id\":\"Mauro-etal:22a\",\"bibbaseid\":\"mauro-hu-ardissono-serviceawarepersonalizeditemrecommendation-2022\",\"role\":\"author\",\"urls\":{\" link\":\"https://ieeexplore.ieee.org/abstract/document/9729739\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2022_IEEE_Access_Service.pdf\"},\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"downloads\":1,\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Mauro\"],\"firstnames\":[\"Noemi\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ardissono\"],\"firstnames\":[\"Liliana\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Cena\"],\"firstnames\":[\"Federica\"],\"suffixes\":[]}],\"title\":\"Supporting People with Autism Spectrum Disorders in the Exploration of PoIs: An Inclusive Recommender System\",\"year\":\"2022\",\"issue_date\":\"February 2022\",\"publisher\":\"Association for Computing Machinery\",\"address\":\"New York, NY, USA\",\"volume\":\"65\",\"number\":\"2\",\"issn\":\"0001-0782\",\"doi\":\"10.1145/3505267\",\"abstract\":\"The suggestion of Points of Interest (PoIs) to people with autism spectrum disorders challenges the research about recommender systems by introducing an explicit need to consider both user preferences and aversions in item evaluation. The reason is that autistic users' perception of places is influenced by sensory aversions, which can cause stress and anxiety when they visit the suggested PoIs. Therefore, the management of individual preferences is not enough to provide these people with suitable recommendations.To address this issue, we propose a Top-N recommendation model that combines information about the user's idiosyncratic aversions with her/his preferences in a personalized way. The goal is that of suggesting the places that (s)he can like and smoothly experience at the same time. We are interested in finding a user-specific balance of compatibility and interest within a recommendation model that integrates heterogeneous evaluation criteria to appropriately take these aspects into account.We tested our model on 148 adults, 20 of which were people with autism spectrum disorders. The evaluation results show that, on both groups, our model achieves superior accuracy and ranking results than the recommender systems based on item compatibility, on user preferences, or which integrate these aspects using a uniform evaluation model. These findings encourage us to use our model as a basis for the development of inclusive recommender systems.\",\"journal\":\"Communications of the ACM\",\"pages\":\"101–109\",\"numpages\":\"9\",\"url_link\":\"https://dl.acm.org/doi/10.1145/3505267\",\"url_paper\":\"2022_CACM.pdf\",\"bibtex\":\"@article{Mauro-etal:22,\\r\\nauthor = {Mauro, Noemi and Ardissono, Liliana and Cena, Federica},\\r\\ntitle = {Supporting People with Autism Spectrum Disorders in the Exploration of PoIs: An Inclusive Recommender System},\\r\\nyear = {2022},\\r\\nissue_date = {February 2022},\\r\\npublisher = {Association for Computing Machinery},\\r\\naddress = {New York, NY, USA},\\r\\nvolume = {65},\\r\\nnumber = {2},\\r\\nissn = {0001-0782},\\r\\ndoi = {10.1145/3505267},\\r\\nabstract = {The suggestion of Points of Interest (PoIs) to people with autism spectrum disorders challenges the research about recommender systems by introducing an explicit need to consider both user preferences and aversions in item evaluation. The reason is that autistic users' perception of places is influenced by sensory aversions, which can cause stress and anxiety when they visit the suggested PoIs. Therefore, the management of individual preferences is not enough to provide these people with suitable recommendations.To address this issue, we propose a Top-N recommendation model that combines information about the user's idiosyncratic aversions with her/his preferences in a personalized way. The goal is that of suggesting the places that (s)he can like and smoothly experience at the same time. We are interested in finding a user-specific balance of compatibility and interest within a recommendation model that integrates heterogeneous evaluation criteria to appropriately take these aspects into account.We tested our model on 148 adults, 20 of which were people with autism spectrum disorders. The evaluation results show that, on both groups, our model achieves superior accuracy and ranking results than the recommender systems based on item compatibility, on user preferences, or which integrate these aspects using a uniform evaluation model. These findings encourage us to use our model as a basis for the development of inclusive recommender systems.},\\r\\njournal = {Communications of the ACM},\\r\\npages = {101–109},\\r\\nnumpages = {9},\\r\\nurl_Link = {https://dl.acm.org/doi/10.1145/3505267},\\r\\nurl_Paper = {2022_CACM.pdf},\\r\\n}\\r\\n\\r\\n\",\"author_short\":[\"Mauro, N.\",\"Ardissono, L.\",\"Cena, F.\"],\"key\":\"Mauro-etal:22\",\"id\":\"Mauro-etal:22\",\"bibbaseid\":\"mauro-ardissono-cena-supportingpeoplewithautismspectrumdisordersintheexplorationofpoisaninclusiverecommendersystem-2022\",\"role\":\"author\",\"urls\":{\" link\":\"https://dl.acm.org/doi/10.1145/3505267\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2022_CACM.pdf\"},\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"downloads\":1,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Mauro\"],\"firstnames\":[\"Noemi\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Geninatti\",\"Cossatin\"],\"firstnames\":[\"Angelo\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Cravero\"],\"firstnames\":[\"Ester\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ardissono\"],\"firstnames\":[\"Liliana\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Magnano\"],\"firstnames\":[\"Guido\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Giardino\"],\"firstnames\":[\"Marco\"],\"suffixes\":[]}],\"title\":\"Exploring Semantically Interlaced Cultural Heritage Narratives\",\"year\":\"2022\",\"isbn\":\"9781450392334\",\"publisher\":\"Association for Computing Machinery\",\"address\":\"New York, NY, USA\",\"doi\":\"10.1145/3511095.3536366\",\"abstract\":\"While traditional mobile guides propose itineraries underlying the presentation of individual narrations, a broad view of Cultural Heritage should take into account that Points of Interests, historical characters and objects are frequently related in different stories linking art, history and science. Moreover, stories could be associated through their common themes. Thus, a focus on individual narrations is not enough to provide users with a holistic view of the places they visit. In this paper, we investigate the presentation of interlaced Cultural Heritage information to make users aware about the connections among such stories. For this purpose, we propose an exploration model that enables the user to take side walks in semantically-related narrations concerning Points of Interest. This is based on a semantic knowledge representation where two types of relations connect entities within individual stories, and stories through their common themes. Based on this representation, we developed the Triangolazioni mobile guide that presents multimedia information about Cultural Heritage in Torino city. A user study has shown that participants perceived the app, and its ”side walking” support, as highly usable. Moreover, they appreciated the storytelling capabilities of the app.\",\"booktitle\":\"Proceedings of the 33rd ACM Conference on Hypertext and Social Media\",\"pages\":\"192–197\",\"numpages\":\"6\",\"keywords\":\"Cultural Heritage, hypertext models, mobile guides\",\"location\":\"Barcelona, Spain\",\"series\":\"HT '22\",\"url_link\":\"https://doi.org/10.1145/3511095.3536366\",\"url_paper\":\"2022_HT_Triangolazioni\",\"bibtex\":\"@inproceedings{10.1145/3511095.3536366,\\r\\nauthor = {Mauro, Noemi and Geninatti Cossatin, Angelo and Cravero, Ester and Ardissono, Liliana and Magnano, Guido and Giardino, Marco},\\r\\ntitle = {Exploring Semantically Interlaced Cultural Heritage Narratives},\\r\\nyear = {2022},\\r\\nisbn = {9781450392334},\\r\\npublisher = {Association for Computing Machinery},\\r\\naddress = {New York, NY, USA},\\r\\ndoi = {10.1145/3511095.3536366},\\r\\nabstract = {While traditional mobile guides propose itineraries underlying the presentation of individual narrations, a broad view of Cultural Heritage should take into account that Points of Interests, historical characters and objects are frequently related in different stories linking art, history and science. Moreover, stories could be associated through their common themes. Thus, a focus on individual narrations is not enough to provide users with a holistic view of the places they visit. In this paper, we investigate the presentation of interlaced Cultural Heritage information to make users aware about the connections among such stories. For this purpose, we propose an exploration model that enables the user to take side walks in semantically-related narrations concerning Points of Interest. This is based on a semantic knowledge representation where two types of relations connect entities within individual stories, and stories through their common themes. Based on this representation, we developed the Triangolazioni mobile guide that presents multimedia information about Cultural Heritage in Torino city. A user study has shown that participants perceived the app, and its ”side walking” support, as highly usable. Moreover, they appreciated the storytelling capabilities of the app.},\\r\\nbooktitle = {Proceedings of the 33rd ACM Conference on Hypertext and Social Media},\\r\\npages = {192–197},\\r\\nnumpages = {6},\\r\\nkeywords = {Cultural Heritage, hypertext models, mobile guides},\\r\\nlocation = {Barcelona, Spain},\\r\\nseries = {HT '22},\\r\\nurl_Link = {https://doi.org/10.1145/3511095.3536366},\\r\\nurl_Paper = {2022_HT_Triangolazioni}\\r\\n}\\r\\n\\r\\n\",\"author_short\":[\"Mauro, N.\",\"Geninatti Cossatin, A.\",\"Cravero, E.\",\"Ardissono, L.\",\"Magnano, G.\",\"Giardino, M.\"],\"key\":\"10.1145/3511095.3536366\",\"id\":\"10.1145/3511095.3536366\",\"bibbaseid\":\"mauro-geninatticossatin-cravero-ardissono-magnano-giardino-exploringsemanticallyinterlacedculturalheritagenarratives-2022\",\"role\":\"author\",\"urls\":{\" link\":\"https://doi.org/10.1145/3511095.3536366\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2022_HT_Triangolazioni\"},\"keyword\":[\"Cultural Heritage\",\"hypertext models\",\"mobile guides\"],\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Mauro\"],\"firstnames\":[\"Noemi\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Geninatti\",\"Cossatin\"],\"firstnames\":[\"Angelo\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Cravero\"],\"firstnames\":[\"Ester\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ardissono\"],\"firstnames\":[\"Liliana\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Magnano\"],\"firstnames\":[\"Guido\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Giardino\"],\"firstnames\":[\"Marco\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Mattutino\"],\"firstnames\":[\"Claudio\"],\"suffixes\":[]}],\"title\":\"A Mobile Guide to Explore Interconnections between Science, Art and Territory\",\"year\":\"2022\",\"isbn\":\"9781450392327\",\"publisher\":\"Association for Computing Machinery\",\"address\":\"New York, NY, USA\",\"doi\":\"10.1145/3511047.3537649\",\"abstract\":\"Most Cultural Heritage mobile guides are developed using a location-based hypertext model that guides the exploration of individual itineraries. However, Cultural Heritage places are often immersed in parallel and interlaced stories about art, history and science, which might be relevant to the tourist. Therefore, we are interested in investigating the semantic connections between the narratives that involve different Point of Interests to provide tourists with interconnected views of the Cultural Heritage of a place. As a first step in this direction, we present the Triangolazioni mobile guide, which allows users to thematically explore places through the navigation of narratives, and to connect narratives to each other based on topic similarity. Triangolazioni can be accessed from mobile phone, tablet and desktop, and supports the physical and virtual exploration of Points of Interest in the area around Torino, Italy.\",\"booktitle\":\"Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization\",\"pages\":\"397–401\",\"numpages\":\"5\",\"keywords\":\"Cultural Heritage, mobile guides\",\"location\":\"Barcelona, Spain\",\"series\":\"UMAP '22 Adjunct\",\"url_link\":\"https://doi.org/10.1145/3511047.3537649\",\"url_paper\":\"2022_PATCH_Triangolazioni\",\"bibtex\":\"@inproceedings{Mauro-etal:22c,\\r\\nauthor = {Mauro, Noemi and Geninatti Cossatin, Angelo and Cravero, Ester and Ardissono, Liliana and Magnano, Guido and Giardino, Marco and Mattutino, Claudio},\\r\\ntitle = {A Mobile Guide to Explore Interconnections between Science, Art and Territory},\\r\\nyear = {2022},\\r\\nisbn = {9781450392327},\\r\\npublisher = {Association for Computing Machinery},\\r\\naddress = {New York, NY, USA},\\r\\ndoi = {10.1145/3511047.3537649},\\r\\nabstract = {Most Cultural Heritage mobile guides are developed using a location-based hypertext model that guides the exploration of individual itineraries. However, Cultural Heritage places are often immersed in parallel and interlaced stories about art, history and science, which might be relevant to the tourist. Therefore, we are interested in investigating the semantic connections between the narratives that involve different Point of Interests to provide tourists with interconnected views of the Cultural Heritage of a place. As a first step in this direction, we present the Triangolazioni mobile guide, which allows users to thematically explore places through the navigation of narratives, and to connect narratives to each other based on topic similarity. Triangolazioni can be accessed from mobile phone, tablet and desktop, and supports the physical and virtual exploration of Points of Interest in the area around Torino, Italy.},\\r\\nbooktitle = {Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization},\\r\\npages = {397–401},\\r\\nnumpages = {5},\\r\\nkeywords = {Cultural Heritage, mobile guides},\\r\\nlocation = {Barcelona, Spain},\\r\\nseries = {UMAP '22 Adjunct},\\r\\nurl_Link = {https://doi.org/10.1145/3511047.3537649},\\r\\nurl_Paper = {2022_PATCH_Triangolazioni}\\r\\n}\\r\\n\\r\\n\",\"author_short\":[\"Mauro, N.\",\"Geninatti Cossatin, A.\",\"Cravero, E.\",\"Ardissono, L.\",\"Magnano, G.\",\"Giardino, M.\",\"Mattutino, C.\"],\"key\":\"Mauro-etal:22c\",\"id\":\"Mauro-etal:22c\",\"bibbaseid\":\"mauro-geninatticossatin-cravero-ardissono-magnano-giardino-mattutino-amobileguidetoexploreinterconnectionsbetweenscienceartandterritory-2022\",\"role\":\"author\",\"urls\":{\" link\":\"https://doi.org/10.1145/3511047.3537649\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2022_PATCH_Triangolazioni\"},\"keyword\":[\"Cultural Heritage\",\"mobile guides\"],\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Kuflik\"],\"firstnames\":[\"Tsvika\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Mauro\"],\"firstnames\":[\"Noemi\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Raptis\"],\"firstnames\":[\"George\",\"E.\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Wecker\"],\"firstnames\":[\"Alan\"],\"suffixes\":[]}],\"title\":\"13th International Workshop on Personalized Access to Cultural Heritage (PATCH 2022) - Towards Hybrid CH Experience\",\"year\":\"2022\",\"isbn\":\"9781450392327\",\"publisher\":\"Association for Computing Machinery\",\"address\":\"New York, NY, USA\",\"url_link\":\"https://doi.org/10.1145/3511047.3536341\",\"doi\":\"10.1145/3511047.3536341\",\"abstract\":\"ACM PATCH 2022, the 13th International Workshop on Personalized Access to Cultural Heritage, is organized in conjunction with the 30th International Conference on User Modeling, Adaptation and Personalization. It is the meeting point between researchers and practitioners working on personalization in cultural heritage, aiming to enhance the user experience in digital and physical Cultural Heritage sites. The PATCH workshops started in 2007 and they are typically held in conjunction with UMAP, IUI and recently AVI Conference series. This paper summarizes the main ideas addressed in the papers accepted for presentation at PATCH 2022 and for publication in the workshop proceedings.\",\"booktitle\":\"Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization\",\"pages\":\"371–373\",\"numpages\":\"3\",\"keywords\":\"Cultural Heritage, Personalization, User Modeling.\",\"location\":\"Barcelona, Spain\",\"series\":\"UMAP '22 Adjunct\",\"bibtex\":\"@inproceedings{10.1145/3511047.3536341,\\r\\nauthor = {Kuflik, Tsvika and Mauro, Noemi and Raptis, George E. and Wecker, Alan},\\r\\ntitle = {13th International Workshop on Personalized Access to Cultural Heritage (PATCH 2022) - Towards Hybrid CH Experience},\\r\\nyear = {2022},\\r\\nisbn = {9781450392327},\\r\\npublisher = {Association for Computing Machinery},\\r\\naddress = {New York, NY, USA},\\r\\nurl_Link = {https://doi.org/10.1145/3511047.3536341},\\r\\ndoi = {10.1145/3511047.3536341},\\r\\nabstract = {ACM PATCH 2022, the 13th International Workshop on Personalized Access to Cultural Heritage, is organized in conjunction with the 30th International Conference on User Modeling, Adaptation and Personalization. It is the meeting point between researchers and practitioners working on personalization in cultural heritage, aiming to enhance the user experience in digital and physical Cultural Heritage sites. The PATCH workshops started in 2007 and they are typically held in conjunction with UMAP, IUI and recently AVI Conference series. This paper summarizes the main ideas addressed in the papers accepted for presentation at PATCH 2022 and for publication in the workshop proceedings.},\\r\\nbooktitle = {Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization},\\r\\npages = {371–373},\\r\\nnumpages = {3},\\r\\nkeywords = {Cultural Heritage, Personalization, User Modeling.},\\r\\nlocation = {Barcelona, Spain},\\r\\nseries = {UMAP '22 Adjunct}\\r\\n}\\r\\n\\r\\n\",\"author_short\":[\"Kuflik, T.\",\"Mauro, N.\",\"Raptis, G. E.\",\"Wecker, A.\"],\"key\":\"10.1145/3511047.3536341\",\"id\":\"10.1145/3511047.3536341\",\"bibbaseid\":\"kuflik-mauro-raptis-wecker-13thinternationalworkshoponpersonalizedaccesstoculturalheritagepatch2022towardshybridchexperience-2022\",\"role\":\"author\",\"urls\":{\" link\":\"https://doi.org/10.1145/3511047.3536341\"},\"keyword\":[\"Cultural Heritage\",\"Personalization\",\"User Modeling.\"],\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"author\":[{\"firstnames\":[\"Sara\"],\"propositions\":[],\"lastnames\":[\"Latifi\"],\"suffixes\":[]},{\"firstnames\":[\"Noemi\"],\"propositions\":[],\"lastnames\":[\"Mauro\"],\"suffixes\":[]},{\"firstnames\":[\"Dietmar\"],\"propositions\":[],\"lastnames\":[\"Jannach\"],\"suffixes\":[]}],\"title\":\"Session-aware Recommendation: A Surprising Quest for the State-of-the-art\",\"journal\":\"Information Sciences\",\"volume\":\"573\",\"pages\":\"291-315\",\"year\":\"2021\",\"issn\":\"0020-0255\",\"doi\":\"10.1016/j.ins.2021.05.048\",\"url_link\":\"https://www.sciencedirect.com/science/article/pii/S0020025521005089\",\"url_paper\":\"2021_IS_Session-aware.pdf\",\"keywords\":\"Session-aware Recommendation, Evaluation, Reproducibility\",\"abstract\":\"Recommender systems are designed to help users in situations of information overload. In recent years we observed increased interest in session-based recommendation scenarios, where the problem is to make item suggestions to users based only on interactions observed in an ongoing session, e.g., on an e-commerce site. However, in cases where interactions from previous user sessions are also available, the recommendations can be personalized according to the users’ long-term preferences, a process called session-aware recommendation. Today, research in this area is scattered, and many works only compare a newly proposed session-aware with existing session-based models. This makes it challenging to understand what represents the state-of-the-art. To close this research gap, we benchmarked recent session-aware algorithms against each other and against a number of session-based recommendation algorithms along with heuristic extensions thereof. Our comparison, to some surprise, revealed that (i) simple techniques based on nearest neighbors consistently outperform recent neural techniques and that (ii) session-aware models were mostly not better than approaches that do not use long-term preference information. Our work therefore points to potential methodological issues where new methods are compared to weak baselines, and it also indicates that there remains a huge potential for more sophisticated session-aware recommendation algorithms.\",\"bibtex\":\"@article{Latifi-etal:21,\\r\\nauthor = {Sara Latifi and Noemi Mauro and Dietmar Jannach},\\r\\ntitle = {Session-aware Recommendation: A Surprising Quest for the State-of-the-art},\\r\\njournal = {Information Sciences},\\r\\nvolume = {573},\\r\\npages = {291-315},\\r\\nyear = {2021},\\r\\nissn = {0020-0255},\\r\\ndoi = {10.1016/j.ins.2021.05.048},\\r\\nurl_Link = {https://www.sciencedirect.com/science/article/pii/S0020025521005089},\\r\\nurl_Paper = {2021_IS_Session-aware.pdf},\\r\\nkeywords = {Session-aware Recommendation, Evaluation, Reproducibility},\\r\\nabstract = {Recommender systems are designed to help users in situations of information overload. In recent years we observed increased interest in session-based recommendation scenarios, where the problem is to make item suggestions to users based only on interactions observed in an ongoing session, e.g., on an e-commerce site. However, in cases where interactions from previous user sessions are also available, the recommendations can be personalized according to the users’ long-term preferences, a process called session-aware recommendation. Today, research in this area is scattered, and many works only compare a newly proposed session-aware with existing session-based models. This makes it challenging to understand what represents the state-of-the-art. To close this research gap, we benchmarked recent session-aware algorithms against each other and against a number of session-based recommendation algorithms along with heuristic extensions thereof. Our comparison, to some surprise, revealed that (i) simple techniques based on nearest neighbors consistently outperform recent neural techniques and that (ii) session-aware models were mostly not better than approaches that do not use long-term preference information. Our work therefore points to potential methodological issues where new methods are compared to weak baselines, and it also indicates that there remains a huge potential for more sophisticated session-aware recommendation algorithms.}\\r\\n}\\r\\n\\r\\n\",\"author_short\":[\"Latifi, S.\",\"Mauro, N.\",\"Jannach, D.\"],\"key\":\"Latifi-etal:21\",\"id\":\"Latifi-etal:21\",\"bibbaseid\":\"latifi-mauro-jannach-sessionawarerecommendationasurprisingquestforthestateoftheart-2021\",\"role\":\"author\",\"urls\":{\" link\":\"https://www.sciencedirect.com/science/article/pii/S0020025521005089\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2021_IS_Session-aware.pdf\"},\"keyword\":[\"Session-aware Recommendation\",\"Evaluation\",\"Reproducibility\"],\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"author\":[{\"firstnames\":[\"Noemi\"],\"propositions\":[],\"lastnames\":[\"Mauro\"],\"suffixes\":[]},{\"firstnames\":[\"Liliana\"],\"propositions\":[],\"lastnames\":[\"Ardissono\"],\"suffixes\":[]},{\"firstnames\":[\"Giovanna\"],\"propositions\":[],\"lastnames\":[\"Petrone\"],\"suffixes\":[]}],\"title\":\"User and Item-aware Estimation of Review Helpfulness\",\"journal\":\"Information Processing & Management\",\"volume\":\"58\",\"number\":\"1\",\"pages\":\"102434\",\"year\":\"2021\",\"issn\":\"0306-4573\",\"doi\":\"10.1016/j.ipm.2020.102434\",\"url_link\":\"http://www.sciencedirect.com/science/article/pii/S0306457320309274\",\"url_paper\":\"2021_IPAM_Helpfulness.pdf\",\"keywords\":\"Review helpfulness, Helpfulness determinants, Regression analysis, Helpfulness-aware personalized item recommendation\",\"abstract\":\"In online review sites, the analysis of user feedback for assessing its helpfulness for decision-making is usually carried out by locally studying the properties of individual reviews. However, global properties should be considered as well to precisely evaluate the quality of user feedback. In this paper we investigate the role of deviations in the properties of reviews as helpfulness determinants with the intuition that “out of the core” feedback helps item evaluation. We propose a novel helpfulness estimation model that extends previous ones with the analysis of deviations in rating, length and polarity with respect to the reviews written by the same person, or concerning the same item. A regression analysis carried out on two large datasets of reviews extracted from Yelp social network shows that user-based deviations in review length and rating clearly influence perceived helpfulness. Moreover, an experiment on the same datasets shows that the integration of our helpfulness estimation model improves the performance of a collaborative recommender system by enhancing the selection of high-quality data for rating estimation. Our model is thus an effective tool to select relevant user feedback for decision-making.\",\"bibtex\":\"@article{Mauro-etal:21b,\\r\\nauthor = \\\"Noemi Mauro and Liliana Ardissono and Giovanna Petrone\\\",\\r\\ntitle = \\\"User and Item-aware Estimation of Review Helpfulness\\\",\\r\\njournal = \\\"Information Processing \\\\& Management\\\",\\r\\nvolume = \\\"58\\\",\\r\\nnumber = \\\"1\\\",\\r\\npages = \\\"102434\\\",\\r\\nyear = \\\"2021\\\",\\r\\nissn = \\\"0306-4573\\\",\\r\\ndoi = \\\"10.1016/j.ipm.2020.102434\\\",\\r\\nurl_Link = \\\"http://www.sciencedirect.com/science/article/pii/S0306457320309274\\\",\\r\\nurl_Paper = {2021_IPAM_Helpfulness.pdf},\\r\\nkeywords = {Review helpfulness, Helpfulness determinants, Regression analysis, Helpfulness-aware personalized item recommendation},\\r\\nabstract = {In online review sites, the analysis of user feedback for assessing its helpfulness for decision-making is usually carried out by locally studying the properties of individual reviews. However, global properties should be considered as well to precisely evaluate the quality of user feedback. In this paper we investigate the role of deviations in the properties of reviews as helpfulness determinants with the intuition that “out of the core” feedback helps item evaluation. We propose a novel helpfulness estimation model that extends previous ones with the analysis of deviations in rating, length and polarity with respect to the reviews written by the same person, or concerning the same item. A regression analysis carried out on two large datasets of reviews extracted from Yelp social network shows that user-based deviations in review length and rating clearly influence perceived helpfulness. Moreover, an experiment on the same datasets shows that the integration of our helpfulness estimation model improves the performance of a collaborative recommender system by enhancing the selection of high-quality data for rating estimation. Our model is thus an effective tool to select relevant user feedback for decision-making.}\\r\\n}\\r\\n\\r\\n\",\"author_short\":[\"Mauro, N.\",\"Ardissono, L.\",\"Petrone, G.\"],\"key\":\"Mauro-etal:21b\",\"id\":\"Mauro-etal:21b\",\"bibbaseid\":\"mauro-ardissono-petrone-useranditemawareestimationofreviewhelpfulness-2021\",\"role\":\"author\",\"urls\":{\" link\":\"http://www.sciencedirect.com/science/article/pii/S0306457320309274\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2021_IPAM_Helpfulness.pdf\"},\"keyword\":[\"Review helpfulness\",\"Helpfulness determinants\",\"Regression analysis\",\"Helpfulness-aware personalized item recommendation\"],\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Ludewig\"],\"firstnames\":[\"Malte\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Mauro\"],\"firstnames\":[\"Noemi\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Latifi\"],\"firstnames\":[\"Sara\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Jannach\"],\"firstnames\":[\"Dietmar\"],\"suffixes\":[]}],\"title\":\"Empirical Analysis of Session-based Recommendation Algorithms\",\"journal\":\"User Modeling and User-Adapted Interaction\",\"year\":\"2021\",\"issn\":\"1573-1391\",\"doi\":\"10.1007/s11257-020-09277-1\",\"url_link\":\"https://link.springer.com/article/10.1007/s11257-020-09277-1\",\"url_paper\":\"2021_UMUAI_Empirical.pdf\",\"keywords\":\"Session-based recommendation, Performance evaluation, Reproducibility\",\"abstract\":\"Recommender systems are tools that support online users by pointing them to potential items of interest in situations of information overload. In recent years, the class of session-based recommendation algorithms received more attention in the research literature. These algorithms base their recommendations solely on the observed interactions with the user in an ongoing session and do not require the existence of long-term preference profiles. Most recently, a number of deep learning-based (“neural”) approaches to session-based recommendations have been proposed. However, previous research indicates that today’s complex neural recommendation methods are not always better than comparably simple algorithms in terms of prediction accuracy. With this work, our goal is to shed light on the state of the art in the area of session-based recommendation and on the progress that is made with neural approaches. For this purpose, we compare twelve algorithmic approaches, among them six recent neural methods, under identical conditions on various datasets. We find that the progress in terms of prediction accuracy that is achieved with neural methods is still limited. In most cases, our experiments show that simple heuristic methods based on nearest-neighbors schemes are preferable over conceptually and computationally more complex methods. Observations from a user study furthermore indicate that recommendations based on heuristic methods were also well accepted by the study participants. To support future progress and reproducibility in this area, we publicly share the SESSION-REC evaluation framework that was used in our research.\",\"bibtex\":\"@article{Ludewig-etal:21b,\\r\\n  author = {Ludewig, Malte and Mauro, Noemi and Latifi, Sara and Jannach, Dietmar},\\r\\n  title = {Empirical Analysis of Session-based Recommendation Algorithms},\\r\\n  journal={User Modeling and User-Adapted Interaction},\\r\\n  year = {2021},\\r\\n  issn={1573-1391},\\r\\n  doi={10.1007/s11257-020-09277-1},\\r\\n  url_Link={https://link.springer.com/article/10.1007/s11257-020-09277-1},\\r\\n  url_Paper = {2021_UMUAI_Empirical.pdf},\\r\\n  keywords = {Session-based recommendation, Performance evaluation, Reproducibility},\\r\\n  abstract = {Recommender systems are tools that support online users by pointing them to potential items of interest in situations of information overload. In recent years, the class of session-based recommendation algorithms received more attention in the research literature. These algorithms base their recommendations solely on the observed interactions with the user in an ongoing session and do not require the existence of long-term preference profiles. Most recently, a number of deep learning-based (“neural”) approaches to session-based recommendations have been proposed. However, previous research indicates that today’s complex neural recommendation methods are not always better than comparably simple algorithms in terms of prediction accuracy. With this work, our goal is to shed light on the state of the art in the area of session-based recommendation and on the progress that is made with neural approaches. For this purpose, we compare twelve algorithmic approaches, among them six recent neural methods, under identical conditions on various datasets. We find that the progress in terms of prediction accuracy that is achieved with neural methods is still limited. In most cases, our experiments show that simple heuristic methods based on nearest-neighbors schemes are preferable over conceptually and computationally more complex methods. Observations from a user study furthermore indicate that recommendations based on heuristic methods were also well accepted by the study participants. To support future progress and reproducibility in this area, we publicly share the SESSION-REC evaluation framework that was used in our research.}\\r\\n} \\r\\n\\r\\n\",\"author_short\":[\"Ludewig, M.\",\"Mauro, N.\",\"Latifi, S.\",\"Jannach, D.\"],\"key\":\"Ludewig-etal:21b\",\"id\":\"Ludewig-etal:21b\",\"bibbaseid\":\"ludewig-mauro-latifi-jannach-empiricalanalysisofsessionbasedrecommendationalgorithms-2021\",\"role\":\"author\",\"urls\":{\" link\":\"https://link.springer.com/article/10.1007/s11257-020-09277-1\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2021_UMUAI_Empirical.pdf\"},\"keyword\":[\"Session-based recommendation\",\"Performance evaluation\",\"Reproducibility\"],\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"downloads\":1,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Mauro\"],\"firstnames\":[\"Noemi\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Hu\"],\"firstnames\":[\"Zhongli\",\"Filippo\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ardissono\"],\"firstnames\":[\"Liliana\"],\"suffixes\":[]}],\"title\":\"Service-Oriented Justification of Recommender System Suggestions\",\"booktitle\":\"Human-Computer Interaction – INTERACT 2021\",\"year\":\"2021\",\"publisher\":\"Springer International Publishing\",\"address\":\"Cham\",\"pages\":\"321–330\",\"isbn\":\"978-3-030-85613-7\",\"url_link\":\"https://link.springer.com/chapter/10.1007/978-3-030-85613-7_23\",\"url_paper\":\"2021_INTERACT.pdf\",\"abstract\":\"In the selection of products or services, overviewing the list of options to identify the most promising ones is key to decision-making. However, current models for the justification of recommender systems results poorly support this task because, as they exclusively focus on item properties, they generate detailed justifications that are lengthy to skim. Moreover, they overlook the existence of a complex item fruition process which can impact customer satisfaction as well. For instance, consumer feedback shows that relevant factors in home booking include both the properties of apartments, and previous customers' perceptions of the interaction with the personnel who manages the homes. To address this issue, we propose a visual model that exploits an explicit representation of the service underlying item fruition to generate a high-level, holistic summary of previous consumers' opinions about the suggested items. From this overview, the user can identify the relevant items and retrieve detailed information about them, in a selective way, thus reducing information load. Our model is instantiated on the Airbnb experiences domain and uses the Service Blueprints to identify evaluation dimensions for the incremental presentation of data about items. A preliminary user study has shown that our model supports user awareness about items by enabling people to quickly filter out the unsuitable recommendations, so that they can analyze in detail the most relevant options.\",\"bibtex\":\"@InProceedings{Mauro-etal:21f,\\r\\nauthor={Mauro, Noemi\\r\\nand Hu, Zhongli Filippo\\r\\nand Ardissono, Liliana},\\r\\ntitle={Service-Oriented Justification of Recommender System Suggestions},\\r\\nbooktitle={Human-Computer Interaction -- INTERACT 2021},\\r\\nyear={2021},\\r\\npublisher={Springer International Publishing},\\r\\naddress={Cham},\\r\\npages={321--330},\\r\\nisbn={978-3-030-85613-7},\\r\\nurl_Link = {https://link.springer.com/chapter/10.1007/978-3-030-85613-7_23},\\r\\nurl_Paper = {2021_INTERACT.pdf},\\r\\nabstract={In the selection of products or services, overviewing the list of options to identify the most promising ones is key to decision-making. However, current models for the justification of recommender systems results poorly support this task because, as they exclusively focus on item properties, they generate detailed justifications that are lengthy to skim. Moreover, they overlook the existence of a complex item fruition process which can impact customer satisfaction as well. For instance, consumer feedback shows that relevant factors in home booking include both the properties of apartments, and previous customers' perceptions of the interaction with the personnel who manages the homes. To address this issue, we propose a visual model that exploits an explicit representation of the service underlying item fruition to generate a high-level, holistic summary of previous consumers' opinions about the suggested items. From this overview, the user can identify the relevant items and retrieve detailed information about them, in a selective way, thus reducing information load. Our model is instantiated on the Airbnb experiences domain and uses the Service Blueprints to identify evaluation dimensions for the incremental presentation of data about items. A preliminary user study has shown that our model supports user awareness about items by enabling people to quickly filter out the unsuitable recommendations, so that they can analyze in detail the most relevant options.},\\r\\n}\\r\\n\\r\\n\",\"author_short\":[\"Mauro, N.\",\"Hu, Z. F.\",\"Ardissono, L.\"],\"key\":\"Mauro-etal:21f\",\"id\":\"Mauro-etal:21f\",\"bibbaseid\":\"mauro-hu-ardissono-serviceorientedjustificationofrecommendersystemsuggestions-2021\",\"role\":\"author\",\"urls\":{\" link\":\"https://link.springer.com/chapter/10.1007/978-3-030-85613-7_23\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2021_INTERACT.pdf\"},\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Cena\"],\"firstnames\":[\"Federica\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Rapp\"],\"firstnames\":[\"Amon\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Mattutino\"],\"firstnames\":[\"Claudio\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Mauro\"],\"firstnames\":[\"Noemi\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ardissono\"],\"firstnames\":[\"Liliana\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Cuccurullo\"],\"firstnames\":[\"Simone\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Brighenti\"],\"firstnames\":[\"Stefania\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Keller\"],\"firstnames\":[\"Roberto\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Tirassa\"],\"firstnames\":[\"Maurizio\"],\"suffixes\":[]}],\"title\":\"A Personalised Interactive Mobile App for People with Autism Spectrum Disorder\",\"booktitle\":\"Human-Computer-Interaction – INTERACT 2021\",\"year\":\"2021\",\"publisher\":\"Springer International Publishing\",\"address\":\"Cham\",\"pages\":\"313–317\",\"isbn\":\"978-3-030-85607-6\",\"url_link\":\"https://link.springer.com/chapter/10.1007/978-3-030-85607-6_28\",\"url_paper\":\"2021_INTERACT_PIUMA.pdf\",\"abstract\":\"The PIUMA app aims at allowing users with autism to explore their city, finding new places that can be interesting for them but at the same time do not annoy them. Users can navigate the city through an interactive map that is both personalized and crowdsourced.\",\"bibtex\":\"@InProceedings{Cena-etal:21,\\r\\nauthor=\\\"Cena, Federica\\r\\nand Rapp, Amon\\r\\nand Mattutino, Claudio\\r\\nand Mauro, Noemi\\r\\nand Ardissono, Liliana\\r\\nand Cuccurullo, Simone\\r\\nand Brighenti, Stefania\\r\\nand Keller, Roberto\\r\\nand Tirassa, Maurizio\\\",\\r\\ntitle=\\\"A Personalised Interactive Mobile App for People with Autism Spectrum Disorder\\\",\\r\\nbooktitle=\\\"Human-Computer-Interaction -- INTERACT 2021\\\",\\r\\nyear=\\\"2021\\\",\\r\\npublisher=\\\"Springer International Publishing\\\",\\r\\naddress=\\\"Cham\\\",\\r\\npages=\\\"313--317\\\",\\r\\nisbn=\\\"978-3-030-85607-6\\\",\\r\\nurl_Link = {https://link.springer.com/chapter/10.1007/978-3-030-85607-6_28},\\r\\nurl_Paper = {2021_INTERACT_PIUMA.pdf},\\r\\nabstract=\\\"The PIUMA app aims at allowing users with autism to explore their city, finding new places that can be interesting for them but at the same time do not annoy them. Users can navigate the city through an interactive map that is both personalized and crowdsourced.\\\",\\r\\n}\\r\\n\\r\\n\",\"author_short\":[\"Cena, F.\",\"Rapp, A.\",\"Mattutino, C.\",\"Mauro, N.\",\"Ardissono, L.\",\"Cuccurullo, S.\",\"Brighenti, S.\",\"Keller, R.\",\"Tirassa, M.\"],\"key\":\"Cena-etal:21\",\"id\":\"Cena-etal:21\",\"bibbaseid\":\"cena-rapp-mattutino-mauro-ardissono-cuccurullo-brighenti-keller-etal-apersonalisedinteractivemobileappforpeoplewithautismspectrumdisorder-2021\",\"role\":\"author\",\"urls\":{\" link\":\"https://link.springer.com/chapter/10.1007/978-3-030-85607-6_28\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2021_INTERACT_PIUMA.pdf\"},\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Mauro\"],\"firstnames\":[\"Noemi\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ardissono\"],\"firstnames\":[\"Liliana\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Torrielli\"],\"firstnames\":[\"Federico\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Izzi\"],\"firstnames\":[\"Gianmarco\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Mattutino\"],\"firstnames\":[\"Claudio\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Lucenteforte\"],\"firstnames\":[\"Maurizio\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Segnan\"],\"firstnames\":[\"Marino\"],\"suffixes\":[]}],\"title\":\"NearMe: Dynamic Exploration of Geographical Areas\",\"booktitle\":\"Human Interface and the Management of Information. Information Presentation and Visualization\",\"year\":\"2021\",\"publisher\":\"Springer International Publishing\",\"address\":\"Cham\",\"pages\":\"206–217\",\"url_link\":\"https://link.springer.com/chapter/10.1007/978-3-030-78321-1_16\",\"url_paper\":\"2021_HCI_INTERNATIONAL.pdf\",\"abstract\":\"Web GIS offer precious data to explore geographic areas but they might overload the user with large amounts of information if (s)he is unable to specify efficient search queries. Services such as OpenStreetMap and Google Maps support focused information search, which requires people to exactly define what they are looking for. However, what can be searched within a specific area mainly depends on what is located there. Thus, the question is how to provide the user with an overview of the available data (s)he can look for, instead of forcing her/him to search for information in a blind way.\",\"isbn\":\"978-3-030-78321-1\",\"bibtex\":\"@InProceedings{Mauro-etal:21e,\\r\\nauthor=\\\"Mauro, Noemi\\r\\nand Ardissono, Liliana\\r\\nand Torrielli, Federico\\r\\nand Izzi, Gianmarco\\r\\nand Mattutino, Claudio\\r\\nand Lucenteforte, Maurizio\\r\\nand Segnan, Marino\\\",\\r\\ntitle=\\\"NearMe: Dynamic Exploration of Geographical Areas\\\",\\r\\nbooktitle=\\\"Human Interface and the Management of Information. Information Presentation and Visualization\\\",\\r\\nyear=\\\"2021\\\",\\r\\npublisher=\\\"Springer International Publishing\\\",\\r\\naddress=\\\"Cham\\\",\\r\\npages=\\\"206--217\\\",\\r\\nurl_Link = {https://link.springer.com/chapter/10.1007/978-3-030-78321-1_16},\\r\\nurl_Paper = {2021_HCI_INTERNATIONAL.pdf},\\r\\nabstract=\\\"Web GIS offer precious data to explore geographic areas but they might overload the user with large amounts of information if (s)he is unable to specify efficient search queries. Services such as OpenStreetMap and Google Maps support focused information search, which requires people to exactly define what they are looking for. However, what can be searched within a specific area mainly depends on what is located there. Thus, the question is how to provide the user with an overview of the available data (s)he can look for, instead of forcing her/him to search for information in a blind way.\\\",\\r\\nisbn=\\\"978-3-030-78321-1\\\"\\r\\n}\\r\\n\\r\\n\\r\\n\\r\\n\",\"author_short\":[\"Mauro, N.\",\"Ardissono, L.\",\"Torrielli, F.\",\"Izzi, G.\",\"Mattutino, C.\",\"Lucenteforte, M.\",\"Segnan, M.\"],\"key\":\"Mauro-etal:21e\",\"id\":\"Mauro-etal:21e\",\"bibbaseid\":\"mauro-ardissono-torrielli-izzi-mattutino-lucenteforte-segnan-nearmedynamicexplorationofgeographicalareas-2021\",\"role\":\"author\",\"urls\":{\" link\":\"https://link.springer.com/chapter/10.1007/978-3-030-78321-1_16\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2021_HCI_INTERNATIONAL.pdf\"},\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Mauro\"],\"firstnames\":[\"Noemi\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Hu\"],\"firstnames\":[\"Zhongli\",\"Filippo\",\"Filippo\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ardissono\"],\"firstnames\":[\"Liliana\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Izzi\"],\"firstnames\":[\"Gianmarco\"],\"suffixes\":[]}],\"title\":\"A Service-Oriented Perspective on the Summarization of Recommendations: Preliminary Experiment\",\"year\":\"2021\",\"isbn\":\"9781450383677\",\"publisher\":\"Association for Computing Machinery\",\"address\":\"New York, NY, USA\",\"url_link\":\"https://doi.org/10.1145/3450614.3464475\",\"url_paper\":\"2021_ExUM_Airbnb.pdf\",\"doi\":\"10.1145/3450614.3464475\",\"abstract\":\"The explanation and justification of recommender systems’ results are challenging research tasks. On the one hand, a model-based description that clarifies the reasoning approach behind the suggestions might be difficult to understand, or it might fail to convince the user, if (s)he does not agree on the applied inference mechanism. On the other hand, an aspect-based justification based on few characteristics might provide a partial view of items or, if more detailed, it might overload the user with too much information. In order to address these issues, we propose a visual model aimed at justifying recommendations from a holistic perspective. Our model is based on a service-oriented summary of consumers’ experience with items. We use the Service Journey Maps to extract data about the experience with services from online reviews, and to generate a visual summary of such feedback, based on evaluation dimensions that refer to all the stages of service fruition. Thanks to a graphical representation of these dimensions (based on bar graphs), and on the provision of on-demand data about the associated aspects of items, our model enables the user to overview the recommendation list and to quickly identify the subset of results that deserve to be inspected in detail for a final selection decision. A preliminary user study, based on the Apartment Monitoring application, has provided encouraging results about the usefulness and efficacy of our model to enhance user awareness and decision-making in the presence of medium-size recommendation lists.\",\"booktitle\":\"Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization\",\"pages\":\"213–219\",\"numpages\":\"7\",\"keywords\":\"justification or results, summarization of recommendation lists, Service Journey Maps, review-based recommender systems\",\"location\":\"Utrecht, Netherlands\",\"series\":\"UMAP '21\",\"bibtex\":\"@inproceedings{Mauro-etal:21c,\\r\\nauthor = {Mauro, Noemi and Hu, Zhongli Filippo Filippo and Ardissono, Liliana and Izzi, Gianmarco},\\r\\ntitle = {A Service-Oriented Perspective on the Summarization of Recommendations: Preliminary Experiment},\\r\\nyear = {2021},\\r\\nisbn = {9781450383677},\\r\\npublisher = {Association for Computing Machinery},\\r\\naddress = {New York, NY, USA},\\r\\nurl_Link = {https://doi.org/10.1145/3450614.3464475},\\r\\nurl_Paper = {2021_ExUM_Airbnb.pdf},\\r\\ndoi = {10.1145/3450614.3464475},\\r\\nabstract = {The explanation and justification of recommender systems’ results are challenging research tasks. On the one hand, a model-based description that clarifies the reasoning approach behind the suggestions might be difficult to understand, or it might fail to convince the user, if (s)he does not agree on the applied inference mechanism. On the other hand, an aspect-based justification based on few characteristics might provide a partial view of items or, if more detailed, it might overload the user with too much information. In order to address these issues, we propose a visual model aimed at justifying recommendations from a holistic perspective. Our model is based on a service-oriented summary of consumers’ experience with items. We use the Service Journey Maps to extract data about the experience with services from online reviews, and to generate a visual summary of such feedback, based on evaluation dimensions that refer to all the stages of service fruition. Thanks to a graphical representation of these dimensions (based on bar graphs), and on the provision of on-demand data about the associated aspects of items, our model enables the user to overview the recommendation list and to quickly identify the subset of results that deserve to be inspected in detail for a final selection decision. A preliminary user study, based on the Apartment Monitoring application, has provided encouraging results about the usefulness and efficacy of our model to enhance user awareness and decision-making in the presence of medium-size recommendation lists.},\\r\\nbooktitle = {Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization},\\r\\npages = {213–219},\\r\\nnumpages = {7},\\r\\nkeywords = {justification or results, summarization of recommendation lists, Service Journey Maps, review-based recommender systems},\\r\\nlocation = {Utrecht, Netherlands},\\r\\nseries = {UMAP '21}\\r\\n}\\r\\n\\r\\n\",\"author_short\":[\"Mauro, N.\",\"Hu, Z. F. F.\",\"Ardissono, L.\",\"Izzi, G.\"],\"key\":\"Mauro-etal:21c\",\"id\":\"Mauro-etal:21c\",\"bibbaseid\":\"mauro-hu-ardissono-izzi-aserviceorientedperspectiveonthesummarizationofrecommendationspreliminaryexperiment-2021\",\"role\":\"author\",\"urls\":{\" link\":\"https://doi.org/10.1145/3450614.3464475\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2021_ExUM_Airbnb.pdf\"},\"keyword\":[\"justification or results\",\"summarization of recommendation lists\",\"Service Journey Maps\",\"review-based recommender systems\"],\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Mauro\"],\"firstnames\":[\"Noemi\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ardissono\"],\"firstnames\":[\"Liliana\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Petrone\"],\"firstnames\":[\"Giovanna\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Geninatti\",\"Cossatin\"],\"firstnames\":[\"Angelo\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Mattutino\"],\"firstnames\":[\"Claudio\"],\"suffixes\":[]}],\"title\":\"Beyond Traditional Cultural Heritage Recommender Systems: Suggesting Airbnb Experiences to Users\",\"year\":\"2021\",\"isbn\":\"9781450383677\",\"publisher\":\"Association for Computing Machinery\",\"address\":\"New York, NY, USA\",\"url_link\":\"https://doi.org/10.1145/3450614.3463385\",\"url_paper\":\"2021_PATCH_Airbnb\",\"doi\":\"10.1145/3450614.3463385\",\"abstract\":\"Traditional recommender systems suggest Cultural and Natural Heritage items to visitors by matching the target user to the available options, one-to-one. However, the increasing diffusion of informal activities and events, supported by location-based services such as Airbnb, extends personalized recommendation to a many-to-one match-making task. Airbnb experiences, which any citizen can propose to offer geographic tours and thematic activities, are composed of at least two entities to be evaluated: the former is the experience itself (in terms of topic, cost, etc.); the latter is the host, who directly interacts with guests during the management of the planned activities. As both entities can dramatically influence guests’ perceptions, they should be jointly taken into account by recommender systems. This paper presents our preliminary work aimed at extending the personalized suggestion of Cultural Heritage items to such composite objects.\",\"booktitle\":\"Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization\",\"pages\":\"203–207\",\"numpages\":\"5\",\"keywords\":\"Cultural Heritage, experience modeling, review-based recommender systems\",\"location\":\"Utrecht, Netherlands\",\"series\":\"UMAP '21\",\"bibtex\":\"@inproceedings{Mauro-etal:21d,\\r\\nauthor = {Mauro, Noemi and Ardissono, Liliana and Petrone, Giovanna and Geninatti Cossatin, Angelo and Mattutino, Claudio},\\r\\ntitle = {Beyond Traditional Cultural Heritage Recommender Systems: Suggesting Airbnb Experiences to Users},\\r\\nyear = {2021},\\r\\nisbn = {9781450383677},\\r\\npublisher = {Association for Computing Machinery},\\r\\naddress = {New York, NY, USA},\\r\\nurl_Link = {https://doi.org/10.1145/3450614.3463385},\\r\\nurl_Paper = {2021_PATCH_Airbnb},\\r\\ndoi = {10.1145/3450614.3463385},\\r\\nabstract = {Traditional recommender systems suggest Cultural and Natural Heritage items to visitors by matching the target user to the available options, one-to-one. However, the increasing diffusion of informal activities and events, supported by location-based services such as Airbnb, extends personalized recommendation to a many-to-one match-making task. Airbnb experiences, which any citizen can propose to offer geographic tours and thematic activities, are composed of at least two entities to be evaluated: the former is the experience itself (in terms of topic, cost, etc.); the latter is the host, who directly interacts with guests during the management of the planned activities. As both entities can dramatically influence guests’ perceptions, they should be jointly taken into account by recommender systems. This paper presents our preliminary work aimed at extending the personalized suggestion of Cultural Heritage items to such composite objects.},\\r\\nbooktitle = {Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization},\\r\\npages = {203–207},\\r\\nnumpages = {5},\\r\\nkeywords = {Cultural Heritage, experience modeling, review-based recommender systems},\\r\\nlocation = {Utrecht, Netherlands},\\r\\nseries = {UMAP '21}\\r\\n}\\r\\n\\r\\n\",\"author_short\":[\"Mauro, N.\",\"Ardissono, L.\",\"Petrone, G.\",\"Geninatti Cossatin, A.\",\"Mattutino, C.\"],\"key\":\"Mauro-etal:21d\",\"id\":\"Mauro-etal:21d\",\"bibbaseid\":\"mauro-ardissono-petrone-geninatticossatin-mattutino-beyondtraditionalculturalheritagerecommendersystemssuggestingairbnbexperiencestousers-2021\",\"role\":\"author\",\"urls\":{\" link\":\"https://doi.org/10.1145/3450614.3463385\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2021_PATCH_Airbnb\"},\"keyword\":[\"Cultural Heritage\",\"experience modeling\",\"review-based recommender systems\"],\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Ardissono\"],\"firstnames\":[\"Liliana\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Gena\"],\"firstnames\":[\"Cristina\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Kuflik\"],\"firstnames\":[\"Tsvika\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Mauro\"],\"firstnames\":[\"Noemi\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"E.\",\"Raptis\"],\"firstnames\":[\"George\",\"E.\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Wecker\"],\"firstnames\":[\"Alan\"],\"suffixes\":[]}],\"title\":\"International Workshop on Personalized Access to Cultural Heritage\",\"year\":\"2021\",\"publisher\":\"Association for Computing Machinery\",\"address\":\"New York, NY, USA\",\"doi\":\"10.1145/3450614.3461456\",\"url_link\":\"https://doi.org/10.1145/3450614.3461456\",\"abstract\":\"ACM PATCH 2021, organized in conjunction with the 29th International Conference on User Modeling, Adaptation and Personalization, is the meeting point between researchers and practitioners of personalization in cultural heritage, aiming to enhance the user experience in digital and physical Cultural Heritage sites. The PATCH workshops started in 2007 and they are typically held in conjunction with UMAP, IUI and recently AVI Conference series. This paper summarizes the main ideas addressed in the articles accepted for presentation at PATCH 2021 and for publication in the workshop proceedings.\",\"booktitle\":\"Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization\",\"pages\":\"184–185\",\"numpages\":\"2\",\"keywords\":\"User Modeling., Personalization, Cultural Heritage\",\"location\":\"Utrecht, Netherlands\",\"series\":\"UMAP '21\",\"bibtex\":\"@inproceedings{patch:2021b,\\r\\nauthor = {Ardissono, Liliana and Gena, Cristina and Kuflik, Tsvika and Mauro, Noemi and E. Raptis, George E. and Wecker, Alan},\\r\\ntitle = {International Workshop on Personalized Access to Cultural Heritage},\\r\\nyear = {2021},\\r\\npublisher = {Association for Computing Machinery},\\r\\naddress = {New York, NY, USA},\\r\\ndoi = {10.1145/3450614.3461456},\\r\\nurl_Link = {https://doi.org/10.1145/3450614.3461456},\\r\\nabstract = {ACM PATCH 2021, organized in conjunction with the 29th International Conference on User Modeling, Adaptation and Personalization, is the meeting point between researchers and practitioners of personalization in cultural heritage, aiming to enhance the user experience in digital and physical Cultural Heritage sites. The PATCH workshops started in 2007 and they are typically held in conjunction with UMAP, IUI and recently AVI Conference series. This paper summarizes the main ideas addressed in the articles accepted for presentation at PATCH 2021 and for publication in the workshop proceedings.},\\r\\nbooktitle = {Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization},\\r\\npages = {184–185},\\r\\nnumpages = {2},\\r\\nkeywords = {User Modeling., Personalization, Cultural Heritage},\\r\\nlocation = {Utrecht, Netherlands},\\r\\nseries = {UMAP '21}\\r\\n}\\r\\n\\r\\n\",\"author_short\":[\"Ardissono, L.\",\"Gena, C.\",\"Kuflik, T.\",\"Mauro, N.\",\"E. Raptis, G. E.\",\"Wecker, A.\"],\"key\":\"patch:2021b\",\"id\":\"patch:2021b\",\"bibbaseid\":\"ardissono-gena-kuflik-mauro-eraptis-wecker-internationalworkshoponpersonalizedaccesstoculturalheritage-2021\",\"role\":\"author\",\"urls\":{\" link\":\"https://doi.org/10.1145/3450614.3461456\"},\"keyword\":[\"User Modeling.\",\"Personalization\",\"Cultural Heritage\"],\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"firstnames\":[\"Noemi\"],\"propositions\":[],\"lastnames\":[\"Mauro\"],\"suffixes\":[]},{\"firstnames\":[\"Liliana\"],\"propositions\":[],\"lastnames\":[\"Ardissono\"],\"suffixes\":[]},{\"firstnames\":[\"Federica\"],\"propositions\":[],\"lastnames\":[\"Cena\"],\"suffixes\":[]},{\"firstnames\":[\"Stefano\"],\"propositions\":[],\"lastnames\":[\"Cocomazzi\"],\"suffixes\":[]}],\"title\":\"Information Extraction for Inclusive Recommender Systems\",\"year\":\"2021\",\"booktitle\":\"Joint Proceedings of the ACM IUI 2021 Workshops - Workshop on Social and Cultural Interaction with Personalized Interfaces (SOCIALIZE)\",\"address\":\"Online\",\"series\":\"CEUR Workshop Proceedings\",\"volume\":\"2903\",\"publisher\":\"CEUR-WS.org\",\"url_link\":\"http://ceur-ws.org/Vol-2903/IUI21WS-SOCIALIZE-7.pdf\",\"url_paper\":\"2021_SOCIALIZE_Autism\",\"doi\":\"http://ceur-ws.org/Vol-2903/IUI21WS-SOCIALIZE-7.pdf\",\"keywords\":\"Recommender Systems, Geographic Information Systems, People with Autism\",\"abstract\":\"Inclusive recommender systems should take both user preferences and the compatibility of items with the user into account in order to generate suggestions that can be appreciated and smoothly experienced at the same time. For instance, considering people in the Autism Spectrum Disorder, the sensory features of a place that is potentially interesting to the user are important to predict whether it might make her/him uncomfortable when visiting it. However, information about users’ experience with items can hardly be found in the metadata provided by online geographic sources. In order to address this issue, we suggest to retrieve it from the consumer feedback collected by location-based services that publish item reviews. This type of feedback represents a sustainable information source because it is supported by people through a continuous reviewing activity. Thus, it deserves special attention as a potential data source. In this paper, we outline how this type of information can be retrieved and we discuss its benefits to Top-N recommendation of Points of Interest. \",\"bibtex\":\"@inproceedings{Mauro:21c,\\r\\n  author = {Noemi Mauro and Liliana Ardissono and Federica Cena and Stefano Cocomazzi},\\r\\n  title = {Information Extraction for Inclusive Recommender Systems},\\r\\n  year = {2021},\\r\\n  booktitle = {Joint Proceedings of the ACM IUI 2021 Workshops - Workshop on Social and Cultural Interaction with Personalized Interfaces (SOCIALIZE)},\\r\\n  address = {Online},\\r\\n  series    = {{CEUR} Workshop Proceedings},\\r\\n  volume    = {2903},\\r\\n  publisher = {CEUR-WS.org},\\r\\n  url_Link       = {http://ceur-ws.org/Vol-2903/IUI21WS-SOCIALIZE-7.pdf},\\r\\n  url_Paper = {2021_SOCIALIZE_Autism},\\r\\n  doi       = {http://ceur-ws.org/Vol-2903/IUI21WS-SOCIALIZE-7.pdf},\\r\\n  keywords = {Recommender Systems, Geographic Information Systems, People with Autism},\\r\\n  abstract = {Inclusive recommender systems should take both user preferences and the compatibility of items with the user into account in order to generate suggestions that can be appreciated and smoothly experienced at the same time. For instance, considering people in the Autism Spectrum Disorder, the sensory features of a place that is potentially interesting to the user are important to predict whether it might make her/him uncomfortable when visiting it. However, information about users’ experience with items can\\r\\nhardly be found in the metadata provided by online geographic sources.\\r\\nIn order to address this issue, we suggest to retrieve it from the consumer feedback collected by location-based services that publish item reviews. This type of feedback represents a sustainable information source because it is supported by people through a continuous reviewing activity. Thus, it deserves special attention as a potential data source. In this paper, we outline how this type of information can be retrieved and we discuss its benefits to Top-N recommendation of Points of Interest.\\r\\n}\\r\\n}\\r\\n\\r\\n\\r\\n\",\"author_short\":[\"Mauro, N.\",\"Ardissono, L.\",\"Cena, F.\",\"Cocomazzi, S.\"],\"key\":\"Mauro:21c\",\"id\":\"Mauro:21c\",\"bibbaseid\":\"mauro-ardissono-cena-cocomazzi-informationextractionforinclusiverecommendersystems-2021\",\"role\":\"author\",\"urls\":{\" link\":\"http://ceur-ws.org/Vol-2903/IUI21WS-SOCIALIZE-7.pdf\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2021_SOCIALIZE_Autism\"},\"keyword\":[\"Recommender Systems\",\"Geographic Information Systems\",\"People with Autism\"],\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"A Compositional Model of Multi-faceted Trust for Personalized Item Recommendation\",\"journal\":\"Expert Systems with Applications\",\"volume\":\"140\",\"pages\":\"112880\",\"year\":\"2020\",\"issn\":\"0957-4174\",\"doi\":\"10.1016/j.eswa.2019.112880\",\"url_link\":\"https://www.sciencedirect.com/science/article/pii/S0957417419305901\",\"url_paper\":\"2020_ESWA_Trust.pdf\",\"author\":[{\"firstnames\":[\"Liliana\"],\"propositions\":[],\"lastnames\":[\"Ardissono\"],\"suffixes\":[]},{\"firstnames\":[\"Noemi\"],\"propositions\":[],\"lastnames\":[\"Mauro\"],\"suffixes\":[]}],\"keywords\":\"Multi-faceted trust, Trust-based recommender systems, Compositional trust model, Matrix factorization\",\"abstract\":\"Trust-based recommender systems improve rating prediction with respect to Collaborative Filtering by leveraging the additional information provided by a trust network among users to deal with the cold start problem. However, they are challenged by recent studies according to which people generally perceive the usage of data about social relations as a violation of their own privacy. In order to address this issue, we extend trust-based recommender systems with additional evidence about trust, based on public anonymous information, and we make them configurable with respect to the data that can be used in the given application domain: 1. We propose the Multi-faceted Trust Model (MTM) to define trust among users in a compositional way, possibly including or excluding the types of information it contains. MTM flexibly integrates social links with public anonymous feedback received by user profiles and user contributions in social networks. 2. We propose LOCABAL+, based on MTM, which extends the LOCABAL trust-based recommender system with multi-faceted trust and trust-based social regularization. Experiments carried out on two public datasets of item reviews show that, with a minor loss of user coverage, LOCABAL+ outperforms state-of-the art trust-based recommender systems and Collaborative Filtering in accuracy, ranking of items and error minimization both when it uses complete information about trust and when it ignores social relations. The combination of MTM with LOCABAL+ thus represents a promising alternative to state-of-the-art trust-based recommender systems.\",\"bibtex\":\"@article{Ardissono-Mauro:20,\\r\\ntitle = {A Compositional Model of Multi-faceted Trust for Personalized Item Recommendation},\\r\\njournal = {Expert Systems with Applications},\\r\\nvolume = {140},\\r\\npages = {112880},\\r\\nyear = {2020},\\r\\nissn = {0957-4174},\\r\\ndoi = {10.1016/j.eswa.2019.112880},\\r\\nurl_Link = {https://www.sciencedirect.com/science/article/pii/S0957417419305901},\\r\\nurl_Paper={2020_ESWA_Trust.pdf},\\r\\nauthor = {Liliana Ardissono and Noemi Mauro},\\r\\nkeywords = {Multi-faceted trust, Trust-based recommender systems, Compositional trust model, Matrix factorization},\\r\\nabstract = {Trust-based recommender systems improve rating prediction with respect to Collaborative Filtering by leveraging the additional information provided by a trust network among users to deal with the cold start problem. However, they are challenged by recent studies according to which people generally perceive the usage of data about social relations as a violation of their own privacy. In order to address this issue, we extend trust-based recommender systems with additional evidence about trust, based on public anonymous information, and we make them configurable with respect to the data that can be used in the given application domain: 1. We propose the Multi-faceted Trust Model (MTM) to define trust among users in a compositional way, possibly including or excluding the types of information it contains. MTM flexibly integrates social links with public anonymous feedback received by user profiles and user contributions in social networks. 2. We propose LOCABAL+, based on MTM, which extends the LOCABAL trust-based recommender system with multi-faceted trust and trust-based social regularization. Experiments carried out on two public datasets of item reviews show that, with a minor loss of user coverage, LOCABAL+ outperforms state-of-the art trust-based recommender systems and Collaborative Filtering in accuracy, ranking of items and error minimization both when it uses complete information about trust and when it ignores social relations. The combination of MTM with LOCABAL+ thus represents a promising alternative to state-of-the-art trust-based recommender systems.}\\r\\n}\\r\\n\\r\\n\\r\\n\\r\\n\",\"author_short\":[\"Ardissono, L.\",\"Mauro, N.\"],\"key\":\"Ardissono-Mauro:20\",\"id\":\"Ardissono-Mauro:20\",\"bibbaseid\":\"ardissono-mauro-acompositionalmodelofmultifacetedtrustforpersonalizeditemrecommendation-2020\",\"role\":\"author\",\"urls\":{\" link\":\"https://www.sciencedirect.com/science/article/pii/S0957417419305901\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2020_ESWA_Trust.pdf\"},\"keyword\":[\"Multi-faceted trust\",\"Trust-based recommender systems\",\"Compositional trust model\",\"Matrix factorization\"],\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"downloads\":1,\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Faceted Search of Heterogeneous Geographic Information for Dynamic Map Projection\",\"journal\":\"Information Processing & Management\",\"volume\":\"57\",\"number\":\"4\",\"pages\":\"102257\",\"year\":\"2020\",\"issn\":\"0306-4573\",\"doi\":\"10.1016/j.ipm.2020.102257\",\"url_link\":\"https://www.sciencedirect.com/science/article/abs/pii/S0306457319311987\",\"url_paper\":\"2020_IPAM_Faceted.pdf\",\"author\":[{\"firstnames\":[\"Noemi\"],\"propositions\":[],\"lastnames\":[\"Mauro\"],\"suffixes\":[]},{\"firstnames\":[\"Liliana\"],\"propositions\":[],\"lastnames\":[\"Ardissono\"],\"suffixes\":[]},{\"firstnames\":[\"Maurizio\"],\"propositions\":[],\"lastnames\":[\"Lucenteforte\"],\"suffixes\":[]}],\"keywords\":\"Faceted information exploration, Dynamic projection of geographic maps, GIS, Geographic information search\",\"abstract\":\"This paper proposes a faceted information exploration model that supports coarse-grained and fine-grained focusing of geographic maps by offering a graphical representation of data attributes within interactive widgets. The proposed approach enables (i) a multi-category projection of long-lasting geographic maps, based on the proposal of efficient facets for data exploration in sparse and noisy datasets, and (ii) an interactive representation of the search context based on widgets that support data visualization, faceted exploration, category-based information hiding and transparency of results at the same time. The integration of our model with a semantic representation of geographical knowledge supports the exploration of information retrieved from heterogeneous data sources, such as Public Open Data and OpenStreetMap. We evaluated our model with users in the OnToMap collaborative Web GIS. The experimental results show that, when working on geographic maps populated with multiple data categories, it outperforms simple category-based map projection and traditional faceted search tools, such as checkboxes, in both user performance and experience.\",\"bibtex\":\"@article{Mauro-etal:20,\\r\\ntitle = \\\"Faceted Search of Heterogeneous Geographic Information for Dynamic Map Projection\\\",\\r\\njournal = \\\"Information Processing \\\\& Management\\\",\\r\\nvolume = \\\"57\\\",\\r\\nnumber = \\\"4\\\",\\r\\npages = \\\"102257\\\",\\r\\nyear = \\\"2020\\\",\\r\\nissn = \\\"0306-4573\\\",\\r\\ndoi = \\\"10.1016/j.ipm.2020.102257\\\",\\r\\nurl_Link = \\\"https://www.sciencedirect.com/science/article/abs/pii/S0306457319311987\\\",\\r\\nurl_Paper = \\\"2020_IPAM_Faceted.pdf\\\",\\r\\nauthor = \\\"Noemi Mauro and Liliana Ardissono and Maurizio Lucenteforte\\\",\\r\\nkeywords = {Faceted information exploration, Dynamic projection of geographic maps, GIS, Geographic information search},\\r\\nabstract = {This paper proposes a faceted information exploration model that supports coarse-grained and fine-grained focusing of geographic maps by offering a graphical representation of data attributes within interactive widgets. The proposed approach enables (i) a multi-category projection of long-lasting geographic maps, based on the proposal of efficient facets for data exploration in sparse and noisy datasets, and (ii) an interactive representation of the search context based on widgets that support data visualization, faceted exploration, category-based information hiding and transparency of results at the same time. The integration of our model with a semantic representation of geographical knowledge supports the exploration of information retrieved from heterogeneous data sources, such as Public Open Data and OpenStreetMap. We evaluated our model with users in the OnToMap collaborative Web GIS. The experimental results show that, when working on geographic maps populated with multiple data categories, it outperforms simple category-based map projection and traditional faceted search tools, such as checkboxes, in both user performance and experience.}\\r\\n}\\r\\n\\r\\n\",\"author_short\":[\"Mauro, N.\",\"Ardissono, L.\",\"Lucenteforte, M.\"],\"key\":\"Mauro-etal:20\",\"id\":\"Mauro-etal:20\",\"bibbaseid\":\"mauro-ardissono-lucenteforte-facetedsearchofheterogeneousgeographicinformationfordynamicmapprojection-2020\",\"role\":\"author\",\"urls\":{\" link\":\"https://www.sciencedirect.com/science/article/abs/pii/S0306457319311987\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2020_IPAM_Faceted.pdf\"},\"keyword\":[\"Faceted information exploration\",\"Dynamic projection of geographic maps\",\"GIS\",\"Geographic information search\"],\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Service-Aware Interactive Presentation of Items for Decision-Making\",\"journal\":\"Applied Sciences\",\"volume\":\"10\",\"number\":\"16\",\"pages\":\"5599\",\"year\":\"2020\",\"issn\":\"\",\"doi\":\"10.3390/app10165599\",\"url_link\":\"https://www.mdpi.com/2076-3417/10/16/5599\",\"url_paper\":\"2020_APPLIEDSC_Apart_Mon.pdf\",\"author\":[{\"firstnames\":[\"Noemi\"],\"propositions\":[],\"lastnames\":[\"Mauro\"],\"suffixes\":[]},{\"firstnames\":[\"Liliana\"],\"propositions\":[],\"lastnames\":[\"Ardissono\"],\"suffixes\":[]},{\"firstnames\":[\"Sara\"],\"propositions\":[],\"lastnames\":[\"Capecchi\"],\"suffixes\":[]},{\"firstnames\":[\"Rosario\"],\"propositions\":[],\"lastnames\":[\"Galioto\"],\"suffixes\":[]}],\"keywords\":\"Interactive information exploration; Information visualization; Service design; Service Journey Maps\",\"abstract\":\"Current information exploration models present low-level features or technical aspects related to the paradigm used to generate results. While this may increase transparency, it does not help the user form a personal opinion about items because it does not describe the overall experience with them. In order to address this issue, we propose the INTERactivE viSualizaTion model (INTEREST) that supports the exploration and analysis of search results by means of a graphical representation of consumer feedback aimed at making the user aware of the service properties in all the stages of fruition, focusing on the data that is most relevant to her/him. INTEREST is based on the Service Journey Maps for the design and description of user experience with services. We applied it to the home booking domain by developing the Apartment Monitoring application that supports overviewing and analyzing online reviews about rented homes. In a user study, we compared the decision-making support provided by our application with that of a baseline model that enables a temporal filtering of consumer feedback. We found out that Apartment Monitoring outperforms the baseline in user experience, user awareness of item properties, and user control during the interaction with the system. In particular, according to the participants of the study, Apartment Monitoring describes the expectations about the homes and it supports their selection in a more effective way than the baseline. These findings encourage moving from a low-level description of item properties to a service-oriented one in order to improve users’ decision-making capabilities.\",\"bibtex\":\"@article{Mauro-etal:20a,\\r\\ntitle = \\\"Service-Aware Interactive Presentation of Items for Decision-Making\\\",\\r\\njournal = \\\"Applied Sciences\\\",\\r\\nvolume = \\\"10\\\",\\r\\nnumber = \\\"16\\\",\\r\\npages = \\\"5599\\\",\\r\\nyear = \\\"2020\\\",\\r\\nissn = \\\"\\\",\\r\\ndoi = \\\"10.3390/app10165599\\\",\\r\\nurl_Link = \\\"https://www.mdpi.com/2076-3417/10/16/5599\\\",\\r\\nurl_Paper = \\\"2020_APPLIEDSC_Apart_Mon.pdf\\\",\\r\\nauthor = \\\"Noemi Mauro and Liliana Ardissono and Sara Capecchi and Rosario Galioto\\\",\\r\\nkeywords =\\\"Interactive information exploration; Information visualization; Service design; Service Journey Maps\\\",\\r\\nabstract = \\\"Current information exploration models present low-level features or technical aspects related to the paradigm used to generate results. While this may increase transparency, it does not help the user form a personal opinion about items because it does not describe the overall experience with them. In order to address this issue, we propose the INTERactivE viSualizaTion model (INTEREST) that supports the exploration and analysis of search results by means of a graphical representation of consumer feedback aimed at making the user aware of the service properties in all the stages of fruition, focusing on the data that is most relevant to her/him. INTEREST is based on the Service Journey Maps for the design and description of user experience with services. We applied it to the home booking domain by developing the Apartment Monitoring application that supports overviewing and analyzing online reviews about rented homes. In a user study, we compared the decision-making support provided by our application with that of a baseline model that enables a temporal filtering of consumer feedback. We found out that Apartment Monitoring outperforms the baseline in user experience, user awareness of item properties, and user control during the interaction with the system. In particular, according to the participants of the study, Apartment Monitoring describes the expectations about the homes and it supports their selection in a more effective way than the baseline. These findings encourage moving from a low-level description of item properties to a service-oriented one in order to improve users’ decision-making capabilities.\\\"\\r\\n}\\r\\n\\r\\n\",\"author_short\":[\"Mauro, N.\",\"Ardissono, L.\",\"Capecchi, S.\",\"Galioto, R.\"],\"key\":\"Mauro-etal:20a\",\"id\":\"Mauro-etal:20a\",\"bibbaseid\":\"mauro-ardissono-capecchi-galioto-serviceawareinteractivepresentationofitemsfordecisionmaking-2020\",\"role\":\"author\",\"urls\":{\" link\":\"https://www.mdpi.com/2076-3417/10/16/5599\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2020_APPLIEDSC_Apart_Mon.pdf\"},\"keyword\":[\"Interactive information exploration; Information visualization; Service design; Service Journey Maps\"],\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Mauro\"],\"firstnames\":[\"Noemi\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ardissono\"],\"firstnames\":[\"Liliana\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Cena\"],\"firstnames\":[\"Federica\"],\"suffixes\":[]}],\"title\":\"Personalized Recommendation of PoIs to People with Autism\",\"year\":\"2020\",\"isbn\":\"9781450368612\",\"publisher\":\"Association for Computing Machinery\",\"address\":\"New York, NY, USA\",\"url_link\":\"https://doi.org/10.1145/3340631.3394845\",\"url_paper\":\"2020_UMAP_Autism.pdf\",\"doi\":\"10.1145/3340631.3394845\",\"abstract\":\"The suggestion of Points of Interest to people with Autism Spectrum Disorder (ASD) challenges recommender systems research because these users' perception of places is influenced by idiosyncratic sensory aversions which can mine their experience by causing stress and anxiety. Therefore, managing individual preferences is not enough to provide these people with suitable recommendations. In order to address this issue, we propose a Top-N recommendation model that combines the user's idiosyncratic aversions with her/his preferences in a personalized way to suggest the most compatible and likable Points of Interest for her/him. We are interested in finding a user-specific balance of compatibility and interest within a recommendation model that integrates heterogeneous evaluation criteria to appropriately take these aspects into account. We tested our model on both ASD and \\\"neurotypical\\\" people. The evaluation results show that, on both groups, our model outperforms in accuracy and ranking capability the recommender systems based on item compatibility, on user preferences, or which integrate these two aspects by means of a uniform evaluation model.\",\"booktitle\":\"Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization\",\"pages\":\"163–172\",\"numpages\":\"10\",\"keywords\":\"autism spectrum disorder, recommender systems, accessibility\",\"location\":\"Genoa, Italy\",\"series\":\"UMAP '20\",\"bibtex\":\"@inproceedings{Mauro:2020,\\r\\nauthor = {Mauro, Noemi and Ardissono, Liliana and Cena, Federica},\\r\\ntitle = {Personalized Recommendation of PoIs to People with Autism},\\r\\nyear = {2020},\\r\\nisbn = {9781450368612},\\r\\npublisher = {Association for Computing Machinery},\\r\\naddress = {New York, NY, USA},\\r\\nurl_Link = {https://doi.org/10.1145/3340631.3394845},\\r\\nurl_Paper = {2020_UMAP_Autism.pdf},\\r\\ndoi = {10.1145/3340631.3394845},\\r\\nabstract = {The suggestion of Points of Interest to people with Autism Spectrum Disorder (ASD) challenges recommender systems research because these users' perception of places is influenced by idiosyncratic sensory aversions which can mine their experience by causing stress and anxiety. Therefore, managing individual preferences is not enough to provide these people with suitable recommendations. In order to address this issue, we propose a Top-N recommendation model that combines the user's idiosyncratic aversions with her/his preferences in a personalized way to suggest the most compatible and likable Points of Interest for her/him. We are interested in finding a user-specific balance of compatibility and interest within a recommendation model that integrates heterogeneous evaluation criteria to appropriately take these aspects into account. We tested our model on both ASD and \\\"neurotypical\\\" people. The evaluation results show that, on both groups, our model outperforms in accuracy and ranking capability the recommender systems based on item compatibility, on user preferences, or which integrate these two aspects by means of a uniform evaluation model.},\\r\\nbooktitle = {Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization},\\r\\npages = {163–172},\\r\\nnumpages = {10},\\r\\nkeywords = {autism spectrum disorder, recommender systems, accessibility},\\r\\nlocation = {Genoa, Italy},\\r\\nseries = {UMAP '20}\\r\\n}\\r\\n\\r\\n\\r\\n\",\"author_short\":[\"Mauro, N.\",\"Ardissono, L.\",\"Cena, F.\"],\"key\":\"Mauro:2020\",\"id\":\"Mauro:2020\",\"bibbaseid\":\"mauro-ardissono-cena-personalizedrecommendationofpoistopeoplewithautism-2020\",\"role\":\"author\",\"urls\":{\" link\":\"https://doi.org/10.1145/3340631.3394845\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2020_UMAP_Autism.pdf\"},\"keyword\":[\"autism spectrum disorder\",\"recommender systems\",\"accessibility\"],\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Cena\"],\"firstnames\":[\"Federica\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Mauro\"],\"firstnames\":[\"Noemi\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ardissono\"],\"firstnames\":[\"Liliana\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Mattutino\"],\"firstnames\":[\"Claudio\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Rapp\"],\"firstnames\":[\"Amon\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Cocomazzi\"],\"firstnames\":[\"Stefano\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Brighenti\"],\"firstnames\":[\"Stefania\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Keller\"],\"firstnames\":[\"Roberto\"],\"suffixes\":[]}],\"title\":\"Personalized Tourist Guide for People with Autism\",\"year\":\"2020\",\"isbn\":\"9781450379502\",\"publisher\":\"Association for Computing Machinery\",\"location\":\"New York, NY, USA\",\"url_link\":\"https://doi.org/10.1145/3386392.3399280\",\"url_paper\":\"2020_PATCH_Autism.pdf\",\"doi\":\"10.1145/3386392.3399280\",\"booktitle\":\"Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization\",\"pages\":\"347–351\",\"numpages\":\"5\",\"keywords\":\"autism spectrum disorder, accessibility, recommender systems, cultural heritage exploration, tourism\",\"address\":\"Genoa, Italy\",\"series\":\"UMAP ’20 Adjunct\",\"abstract\":\"Cultural Heritage exploration is interesting for the development of inclusive tourist guides because it exposes visitors to different types of challenges, from steering content recommendation to visitors' interests and cognitive capabilities, to the suggestion of places that can be effectively reached and visited under different types of constraints: e.g., temporal and physical ones. In this work we are interested in the needs of people with Autism in order to support them in the exploration of a geographic area. Specifically, this paper presents a mobile tourist guide that we are developing to help people in visiting new places. The app is an evolution of PIUMA (Personalised Interactive Urban Maps for Autism), conceived to help autistic citizens in their everyday movements. It shows a map tailored to users with Autism Spectrum Disorder. In particular, it presents a personalized selection of safe Points of Interest, i.e., places that are, at the same time, interesting for the user and have \\\"safe\\\" characteristics from the sensory point of view, such as being quiet, scarcely crowded, or with smooth lights. In this paper, we present how we intend to extend PIUMA to support tourists.\",\"bibtex\":\"@inproceedings{Cena:20,\\r\\nauthor = {Cena, Federica and Mauro, Noemi and Ardissono, Liliana and Mattutino, Claudio and Rapp, Amon and Cocomazzi, Stefano and Brighenti, Stefania and Keller, Roberto},\\r\\ntitle = {Personalized Tourist Guide for People with Autism},\\r\\nyear = {2020},\\r\\nisbn = {9781450379502},\\r\\npublisher = {Association for Computing Machinery},\\r\\nlocation = {New York, NY, USA},\\r\\nurl_Link = {https://doi.org/10.1145/3386392.3399280},\\r\\nurl_Paper = {2020_PATCH_Autism.pdf},\\r\\ndoi = {10.1145/3386392.3399280},\\r\\nbooktitle = {Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization},\\r\\npages = {347–351},\\r\\nnumpages = {5},\\r\\nkeywords = {autism spectrum disorder, accessibility, recommender systems, cultural heritage exploration, tourism},\\r\\naddress = {Genoa, Italy},\\r\\nseries = {UMAP ’20 Adjunct},\\r\\nabstract = {Cultural Heritage exploration is interesting for the development of inclusive tourist guides because it exposes visitors to different types of challenges, from steering content recommendation to visitors' interests and cognitive capabilities, to the suggestion of places that can be effectively reached and visited under different types of constraints: e.g., temporal and physical ones. In this work we are interested in the needs of people with Autism in order to support them in the exploration of a geographic area. Specifically, this paper presents a mobile tourist guide that we are developing to help people in visiting new places. The app is an evolution of PIUMA (Personalised Interactive Urban Maps for Autism), conceived to help autistic citizens in their everyday movements. It shows a map tailored to users with Autism Spectrum Disorder. In particular, it presents a personalized selection of safe Points of Interest, i.e., places that are, at the same time, interesting for the user and have \\\"safe\\\" characteristics from the sensory point of view, such as being quiet, scarcely crowded, or with smooth lights. In this paper, we present how we intend to extend PIUMA to support tourists.},\\r\\n}\\r\\n\\r\\n\",\"author_short\":[\"Cena, F.\",\"Mauro, N.\",\"Ardissono, L.\",\"Mattutino, C.\",\"Rapp, A.\",\"Cocomazzi, S.\",\"Brighenti, S.\",\"Keller, R.\"],\"key\":\"Cena:20\",\"id\":\"Cena:20\",\"bibbaseid\":\"cena-mauro-ardissono-mattutino-rapp-cocomazzi-brighenti-keller-personalizedtouristguideforpeoplewithautism-2020\",\"role\":\"author\",\"urls\":{\" link\":\"https://doi.org/10.1145/3386392.3399280\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2020_PATCH_Autism.pdf\"},\"keyword\":[\"autism spectrum disorder\",\"accessibility\",\"recommender systems\",\"cultural heritage exploration\",\"tourism\"],\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"firstnames\":[\"Amon\"],\"propositions\":[],\"lastnames\":[\"Rapp\"],\"suffixes\":[]},{\"firstnames\":[\"Federica\"],\"propositions\":[],\"lastnames\":[\"Cena\"],\"suffixes\":[]},{\"firstnames\":[\"Claudio\"],\"propositions\":[],\"lastnames\":[\"Mattutino\"],\"suffixes\":[]},{\"firstnames\":[\"Claudio\"],\"propositions\":[],\"lastnames\":[\"Schifanella\"],\"suffixes\":[]},{\"firstnames\":[\"Noemi\"],\"propositions\":[],\"lastnames\":[\"Mauro\"],\"suffixes\":[]},{\"firstnames\":[\"Liliana\"],\"propositions\":[],\"lastnames\":[\"Ardissono\"],\"suffixes\":[]},{\"firstnames\":[\"Guido\"],\"propositions\":[],\"lastnames\":[\"Boella\"],\"suffixes\":[]},{\"firstnames\":[\"Stefania\"],\"propositions\":[],\"lastnames\":[\"Brighenti\"],\"suffixes\":[]},{\"firstnames\":[\"Romina\"],\"propositions\":[],\"lastnames\":[\"Castaldo\"],\"suffixes\":[]},{\"firstnames\":[\"Roberto\"],\"propositions\":[],\"lastnames\":[\"Keller\"],\"suffixes\":[]},{\"firstnames\":[\"Arianna\"],\"propositions\":[],\"lastnames\":[\"Boldi\"],\"suffixes\":[]},{\"firstnames\":[\"Maurizio\"],\"propositions\":[],\"lastnames\":[\"Tirassa\"],\"suffixes\":[]}],\"title\":\"How Can We Engage People to Map Places Suitable for the Autistic Population? A Crowdsourced Approach\",\"year\":\"2020\",\"booktitle\":\"Proceedings of the Second Symposium on Psychology-Based Technologies (PSYCHOBIT 2020)\",\"address\":\"Naples, Italy\",\"series\":\"CEUR Workshop Proceedings\",\"volume\":\"2730\",\"publisher\":\"CEUR-WS.org\",\"url_link\":\"http://ceur-ws.org/Vol-2730/paper4.pdf\",\"url_paper\":\"2020_PSYCHOBIT.pdf\",\"doi\":\"http://ceur-ws.org/Vol-2730/paper4.pdf\",\"keywords\":\"Autism, Crowdsourcing, Maps\",\"abstract\":\"The crowdsourcing paradigm applied to the urban environment (i.e., people while moving can provide data from different places) may play a fundamental role in transforming users in significant actors of the places in which they live. In the last years, several crowdsourcing services have been developed to allow citizens to collaborate, by collecting data about urban accessibility. This effort, however, focused mainly on physical disabilities. We aim to help people with Autism Spectrum Disorder (ASD) move across and live in urban environments by means of a crowdsourced personalized map. The map is populated with comments and reviews by people with ASD and caregivers, in order to highlight places, routes, and activities (e.g., less crowded routes, quiet places) to make ASD people’s daily lives more comfortable.\",\"bibtex\":\"@inproceedings{Rapp:20,\\r\\n  author = {Amon Rapp and Federica Cena and Claudio Mattutino and Claudio Schifanella and Noemi Mauro and Liliana Ardissono and Guido Boella and  Stefania Brighenti and Romina Castaldo and Roberto Keller and Arianna Boldi and Maurizio Tirassa},\\r\\n  title = {How Can We Engage People to Map Places Suitable for the Autistic Population? {A} Crowdsourced Approach},\\r\\n  year = {2020},\\r\\n  booktitle = {Proceedings of the Second Symposium on Psychology-Based Technologies (PSYCHOBIT 2020)},\\r\\n  address = {Naples, Italy},\\r\\n  series    = {{CEUR} Workshop Proceedings},\\r\\n  volume    = {2730},\\r\\n  publisher = {CEUR-WS.org},\\r\\n  url_Link       = {http://ceur-ws.org/Vol-2730/paper4.pdf},\\r\\n  url_Paper = {2020_PSYCHOBIT.pdf},\\r\\n  doi       = {http://ceur-ws.org/Vol-2730/paper4.pdf},\\r\\n  keywords = {Autism, Crowdsourcing, Maps},\\r\\n  abstract = {The crowdsourcing paradigm applied to the urban environment (i.e.,\\r\\n  people while moving can provide data from different places) may play a fundamental\\r\\n  role in transforming users in significant actors of the places in which\\r\\n  they live. In the last years, several crowdsourcing services have been developed\\r\\n  to allow citizens to collaborate, by collecting data about urban accessibility.\\r\\n  This effort, however, focused mainly on physical disabilities. We aim to help\\r\\n  people with Autism Spectrum Disorder (ASD) move across and live in urban\\r\\n  environments by means of a crowdsourced personalized map. The map is populated\\r\\n  with comments and reviews by people with ASD and caregivers, in order\\r\\n  to highlight places, routes, and activities (e.g., less crowded routes, quiet places)\\r\\n  to make ASD people’s daily lives more comfortable.}\\r\\n}\\r\\n\\r\\n\\r\\n\",\"author_short\":[\"Rapp, A.\",\"Cena, F.\",\"Mattutino, C.\",\"Schifanella, C.\",\"Mauro, N.\",\"Ardissono, L.\",\"Boella, G.\",\"Brighenti, S.\",\"Castaldo, R.\",\"Keller, R.\",\"Boldi, A.\",\"Tirassa, M.\"],\"key\":\"Rapp:20\",\"id\":\"Rapp:20\",\"bibbaseid\":\"rapp-cena-mattutino-schifanella-mauro-ardissono-boella-brighenti-etal-howcanweengagepeopletomapplacessuitablefortheautisticpopulationacrowdsourcedapproach-2020\",\"role\":\"author\",\"urls\":{\" link\":\"http://ceur-ws.org/Vol-2730/paper4.pdf\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2020_PSYCHOBIT.pdf\"},\"keyword\":[\"Autism\",\"Crowdsourcing\",\"Maps\"],\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"firstnames\":[\"Noemi\"],\"propositions\":[],\"lastnames\":[\"Mauro\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Izzi\"],\"firstnames\":[\"Gianmarco\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Pellegrino\"],\"firstnames\":[\"Marco\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ardissono\"],\"firstnames\":[\"Liliana\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Grandi\"],\"firstnames\":[\"Claudio\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Lucenteforte\"],\"firstnames\":[\"Maurizio\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Segnan\"],\"firstnames\":[\"Marino\"],\"suffixes\":[]}],\"title\":\"Faceted Exploration of Cultural Heritage\",\"year\":\"2020\",\"isbn\":\"9781450379502\",\"publisher\":\"Association for Computing Machinery\",\"location\":\"New York, NY, USA\",\"url_link\":\"https://doi.org/10.1145/3386392.3399279\",\"url_paper\":\"2020_PATCH_Faceted.pdf\",\"doi\":\"10.1145/3386392.3399279\",\"booktitle\":\"Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization\",\"pages\":\"340–346\",\"numpages\":\"7\",\"keywords\":\"dynamic projection of geographic maps, interactive user interfaces for ch applications, geographic information search, faceted information exploration\",\"address\":\"Genoa, Italy\",\"series\":\"UMAP ’20 Adjunct\",\"abstract\":\"The richness of Cultural Heritage (CH) sites exposes tourists to an information overload which makes it difficult to efficiently select the items that they like and can practically visit within a tour.Faceted information exploration has been proposed as a solution to analyze large sets of data. However, most works focus on the inspection of a single type of information, e.g., hotels or music. In contrast, CH items are heterogeneous: they include natural and artificial monuments and different types of artworks which might be visited within a single tour. Moreover, CH sites are often visited in group, thus raising the expectation that all the involved people share information and decisions about what to do.In order to address this issue, we propose a map-based faceted exploration model that makes it possible to create custom, long-lasting maps representing a shared information space for user collaboration, and temporally project these maps on the basis of fine-grained filters which help users focus on items associated to short-term, specific interests. Our model supports the user in the organization and filtering of CH information on the basis of multiple perspectives related to the attributes of items. We propose graphical widgets to support interactive data visualization, faceted exploration, category-based information hiding and transparency of results at the same time. The widgets are based on the sunburst diagram, which compactly displays visualization criteria on data categories by showing facets and facet values in a circular structure.\",\"bibtex\":\"@inproceedings{Mauro:20a,\\r\\nauthor = {Noemi Mauro and Izzi, Gianmarco and Pellegrino, Marco and Ardissono, Liliana and Grandi, Claudio and Lucenteforte, Maurizio and Segnan, Marino},\\r\\ntitle = {Faceted Exploration of Cultural Heritage},\\r\\nyear = {2020},\\r\\nisbn = {9781450379502},\\r\\npublisher = {Association for Computing Machinery},\\r\\nlocation = {New York, NY, USA},\\r\\nurl_Link = {https://doi.org/10.1145/3386392.3399279},\\r\\nurl_Paper={2020_PATCH_Faceted.pdf},\\r\\ndoi = {10.1145/3386392.3399279},\\r\\nbooktitle = {Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization},\\r\\npages = {340–346},\\r\\nnumpages = {7},\\r\\nkeywords = {dynamic projection of geographic maps, interactive user interfaces for ch applications, geographic information search, faceted information exploration},\\r\\naddress = {Genoa, Italy},\\r\\nseries = {UMAP ’20 Adjunct},\\r\\nabstract = {The richness of Cultural Heritage (CH) sites exposes tourists to an information overload which makes it difficult to efficiently select the items that they like and can practically visit within a tour.Faceted information exploration has been proposed as a solution to analyze large sets of data. However, most works focus on the inspection of a single type of information, e.g., hotels or music. In contrast, CH items are heterogeneous: they include natural and artificial monuments and different types of artworks which might be visited within a single tour. Moreover, CH sites are often visited in group, thus raising the expectation that all the involved people share information and decisions about what to do.In order to address this issue, we propose a map-based faceted exploration model that makes it possible to create custom, long-lasting maps representing a shared information space for user collaboration, and temporally project these maps on the basis of fine-grained filters which help users focus on items associated to short-term, specific interests. Our model supports the user in the organization and filtering of CH information on the basis of multiple perspectives related to the attributes of items. We propose graphical widgets to support interactive data visualization, faceted exploration, category-based information hiding and transparency of results at the same time. The widgets are based on the sunburst diagram, which compactly displays visualization criteria on data categories by showing facets and facet values in a circular structure.},\\r\\n}\\r\\n    \\r\\n\\r\\n\",\"author_short\":[\"Mauro, N.\",\"Izzi, G.\",\"Pellegrino, M.\",\"Ardissono, L.\",\"Grandi, C.\",\"Lucenteforte, M.\",\"Segnan, M.\"],\"key\":\"Mauro:20a\",\"id\":\"Mauro:20a\",\"bibbaseid\":\"mauro-izzi-pellegrino-ardissono-grandi-lucenteforte-segnan-facetedexplorationofculturalheritage-2020\",\"role\":\"author\",\"urls\":{\" link\":\"https://doi.org/10.1145/3386392.3399279\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2020_PATCH_Faceted.pdf\"},\"keyword\":[\"dynamic projection of geographic maps\",\"interactive user interfaces for ch applications\",\"geographic information search\",\"faceted information exploration\"],\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Ardissono\"],\"firstnames\":[\"Liliana\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Mauro\"],\"firstnames\":[\"Noemi\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Raptis\"],\"firstnames\":[\"George\",\"E.\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Wecker\"],\"firstnames\":[\"Alan\"],\"suffixes\":[]}],\"title\":\"Workshop on Personalized Access to Cultural Heritage: PATCH'20 Chairs' Welcome\",\"year\":\"2020\",\"isbn\":\"9781450379502\",\"publisher\":\"Association for Computing Machinery\",\"address\":\"New York, NY, USA\",\"url_link\":\"https://doi.org/10.1145/3386392.3399275\",\"doi\":\"10.1145/3386392.3399275\",\"booktitle\":\"Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization\",\"pages\":\"315–316\",\"numpages\":\"2\",\"location\":\"Genoa, Italy\",\"series\":\"UMAP '20 Adjunct\",\"bibtex\":\"@inproceedings{patch2020b,\\r\\nauthor = {Ardissono, Liliana and Mauro, Noemi and Raptis, George E. and Wecker, Alan},\\r\\ntitle = {Workshop on Personalized Access to Cultural Heritage: PATCH'20 Chairs' Welcome},\\r\\nyear = {2020},\\r\\nisbn = {9781450379502},\\r\\npublisher = {Association for Computing Machinery},\\r\\naddress = {New York, NY, USA},\\r\\nurl_Link = {https://doi.org/10.1145/3386392.3399275},\\r\\ndoi = {10.1145/3386392.3399275},\\r\\nbooktitle = {Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization},\\r\\npages = {315–316},\\r\\nnumpages = {2},\\r\\nlocation = {Genoa, Italy},\\r\\nseries = {UMAP '20 Adjunct}\\r\\n}\\r\\n\\r\\n\",\"author_short\":[\"Ardissono, L.\",\"Mauro, N.\",\"Raptis, G. E.\",\"Wecker, A.\"],\"key\":\"patch2020b\",\"id\":\"patch2020b\",\"bibbaseid\":\"ardissono-mauro-raptis-wecker-workshoponpersonalizedaccesstoculturalheritagepatch20chairswelcome-2020\",\"role\":\"author\",\"urls\":{\" link\":\"https://doi.org/10.1145/3386392.3399275\"},\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Ardissono\"],\"firstnames\":[\"Liliana\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Mauro\"],\"firstnames\":[\"Noemi\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Raptis\"],\"firstnames\":[\"George\",\"E.\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Wecker\"],\"firstnames\":[\"Alan\"],\"suffixes\":[]}],\"title\":\"Workshop on Personalized Access to Cultural Heritage: PATCH'20\",\"year\":\"2020\",\"isbn\":\"9781450368612\",\"publisher\":\"Association for Computing Machinery\",\"address\":\"New York, NY, USA\",\"url_link\":\"https://doi.org/10.1145/3340631.3398670\",\"doi\":\"10.1145/3340631.3398670\",\"booktitle\":\"Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization\",\"pages\":\"396–397\",\"numpages\":\"2\",\"keywords\":\"user modeling, cultural heritage, personalization\",\"location\":\"Genoa, Italy\",\"series\":\"UMAP '20\",\"bibtex\":\"@inproceedings{patch2020a,\\r\\nauthor = {Ardissono, Liliana and Mauro, Noemi and Raptis, George E. and Wecker, Alan},\\r\\ntitle = {Workshop on Personalized Access to Cultural Heritage: PATCH'20},\\r\\nyear = {2020},\\r\\nisbn = {9781450368612},\\r\\npublisher = {Association for Computing Machinery},\\r\\naddress = {New York, NY, USA},\\r\\nurl_Link = {https://doi.org/10.1145/3340631.3398670},\\r\\ndoi = {10.1145/3340631.3398670},\\r\\nbooktitle = {Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization},\\r\\npages = {396–397},\\r\\nnumpages = {2},\\r\\nkeywords = {user modeling, cultural heritage, personalization},\\r\\nlocation = {Genoa, Italy},\\r\\nseries = {UMAP '20}\\r\\n}\\r\\n\\r\\n\\r\\n\\r\\n\",\"author_short\":[\"Ardissono, L.\",\"Mauro, N.\",\"Raptis, G. E.\",\"Wecker, A.\"],\"key\":\"patch2020a\",\"id\":\"patch2020a\",\"bibbaseid\":\"ardissono-mauro-raptis-wecker-workshoponpersonalizedaccesstoculturalheritagepatch20-2020\",\"role\":\"author\",\"urls\":{\" link\":\"https://doi.org/10.1145/3340631.3398670\"},\"keyword\":[\"user modeling\",\"cultural heritage\",\"personalization\"],\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Ludewig\"],\"firstnames\":[\"Malte\"],\"suffixes\":[]},{\"firstnames\":[\"Noemi\"],\"propositions\":[],\"lastnames\":[\"Mauro\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Latifi\"],\"firstnames\":[\"Sara\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Jannach\"],\"firstnames\":[\"Dietmar\"],\"suffixes\":[]}],\"title\":\"Performance Comparison of Neural and Non-neural Approaches to Session-based Recommendation\",\"booktitle\":\"Proceedings of the 13th ACM Conference on Recommender Systems\",\"series\":\"RecSys '19\",\"year\":\"2019\",\"isbn\":\"978-1-4503-6243-6\",\"address\":\"Copenhagen, Denmark\",\"pages\":\"462–466\",\"numpages\":\"5\",\"url_link\":\"http://doi.acm.org/10.1145/3298689.3347041\",\"url_paper\":\"2019_RecSys_Neural.pdf\",\"doi\":\"10.1145/3298689.3347041\",\"acmid\":\"3347041\",\"publisher\":\"ACM\",\"location\":\"New York, NY, USA\",\"keywords\":\"evaluation, reproducibility, session-based recommendation\",\"abstract\":\"The benefits of neural approaches are undisputed in many application areas. However, today's research practice in applied machine learning—where researchers often use a variety of baselines, datasets, and evaluation procedures—can make it difficult to understand how much progress is actually achieved through novel technical approaches. In this work, we focus on the fast-developing area of session-based recommendation and aim to contribute to a better understanding of what represents the state-of-the-art.To that purpose, we have conducted an extensive set of experiments, using a variety of datasets, in which we benchmarked four neural approaches that were published in the last three years against each other and against a set of simpler baseline techniques, e.g., based on nearest neighbors. The evaluation of the algorithms under the exact same conditions revealed that the benefits of applying today's neural approaches to session-based recommendations are still limited. In the majority of the cases, and in particular when precision and recall are used, it turned out that simple techniques in most cases outperform recent neural approaches. Our findings therefore point to certain major limitations of today's research practice. By sharing our evaluation framework publicly, we hope that some of these limitations can be overcome in the future.\",\"bibtex\":\"@inproceedings{Ludewig:2019,\\r\\n author = {Ludewig, Malte and Noemi Mauro and Latifi, Sara and Jannach, Dietmar},\\r\\n title = {Performance Comparison of Neural and Non-neural Approaches to Session-based Recommendation},\\r\\n booktitle = {Proceedings of the 13th ACM Conference on Recommender Systems},\\r\\n series = {RecSys '19},\\r\\n year = {2019},\\r\\n isbn = {978-1-4503-6243-6},\\r\\n address = {Copenhagen, Denmark},\\r\\n pages = {462--466},\\r\\n numpages = {5},\\r\\n url_Link = {http://doi.acm.org/10.1145/3298689.3347041},\\r\\n url_Paper = {2019_RecSys_Neural.pdf},\\r\\n doi = {10.1145/3298689.3347041},\\r\\n acmid = {3347041},\\r\\n publisher = {ACM},\\r\\n location = {New York, NY, USA},\\r\\n keywords = {evaluation, reproducibility, session-based recommendation},\\r\\n abstract = {The benefits of neural approaches are undisputed in many application areas. However, today's research practice in applied machine learning---where researchers often use a variety of baselines, datasets, and evaluation procedures---can make it difficult to understand how much progress is actually achieved through novel technical approaches. In this work, we focus on the fast-developing area of session-based recommendation and aim to contribute to a better understanding of what represents the state-of-the-art.To that purpose, we have conducted an extensive set of experiments, using a variety of datasets, in which we benchmarked four neural approaches that were published in the last three years against each other and against a set of simpler baseline techniques, e.g., based on nearest neighbors. The evaluation of the algorithms under the exact same conditions revealed that the benefits of applying today's neural approaches to session-based recommendations are still limited. In the majority of the cases, and in particular when precision and recall are used, it turned out that simple techniques in most cases outperform recent neural approaches. Our findings therefore point to certain major limitations of today's research practice. By sharing our evaluation framework publicly, we hope that some of these limitations can be overcome in the future.},\\r\\n} \\r\\n\\r\\n\\r\\n\\r\\n  \",\"author_short\":[\"Ludewig, M.\",\"Mauro, N.\",\"Latifi, S.\",\"Jannach, D.\"],\"key\":\"Ludewig:2019\",\"id\":\"Ludewig:2019\",\"bibbaseid\":\"ludewig-mauro-latifi-jannach-performancecomparisonofneuralandnonneuralapproachestosessionbasedrecommendation-2019\",\"role\":\"author\",\"urls\":{\" link\":\"http://doi.acm.org/10.1145/3298689.3347041\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2019_RecSys_Neural.pdf\"},\"keyword\":[\"evaluation\",\"reproducibility\",\"session-based recommendation\"],\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\",\"ludewig, m\":\"https://bibbase.org/show?msg=embed&bib=https://dblp.org/pid/184/2008.bib\"}},\"downloads\":0,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"firstnames\":[\"Noemi\"],\"propositions\":[],\"lastnames\":[\"Mauro\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ardissono\"],\"firstnames\":[\"Liliana\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Hu\"],\"firstnames\":[\"Zhongli\",\"Filippo\"],\"suffixes\":[]}],\"title\":\"Multi-Faceted Trust-Based Collaborative Filtering\",\"year\":\"2019\",\"isbn\":\"9781450360210\",\"publisher\":\"Association for Computing Machinery\",\"location\":\"New York, NY, USA\",\"url_link\":\"https://doi.org/10.1145/3320435.3320441\",\"url_paper\":\"2019_UMAP_Trust.pdf\",\"doi\":\"10.1145/3320435.3320441\",\"booktitle\":\"Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization\",\"pages\":\"216–224\",\"numpages\":\"9\",\"keywords\":\"thematic maps, information search, personalization., session-based concept suggestion\",\"address\":\"Larnaca, Cyprus\",\"series\":\"UMAP ’19\",\"abstract\":\"Many collaborative recommender systems leverage social correlation theories to improve suggestion performance. However, they focus on explicit relations between users and they leave out other types of information that can contribute to determine users' global reputation; e.g., public recognition of reviewers' quality.We are interested in understanding if and when these additional types of feedback improve Top-N recommendation. For this purpose, we propose a multi-faceted trust model to integrate local trust, represented by social links, with various types of global trust evidence provided by social networks. We aim at identifying general classes of data in order to make our model applicable to different case studies. Then, we test the model by applying it to a variant of User-to-User Collaborative filtering (U2UCF) which supports the fusion of rating similarity, local trust derived from social relations, and multi-faceted reputation for rating prediction.We test our model on two datasets: the Yelp one publishes generic friend relations between users but provides different types of trust feedback, including user profile endorsements. The LibraryThing dataset offers fewer types of feedback but it provides more selective friend relations aimed at content sharing. The results of our experiments show that, on the Yelp dataset, our model outperforms both U2UCF and state-of-the-art trust-based recommenders that only use rating similarity and social relations. Differently, in the LibraryThing dataset, the combination of social relations and rating similarity achieves the best results. The lesson we learn is that multi-faceted trust can be a valuable type of information for recommendation. However, before using it in an application domain, an analysis of the type and amount of available trust evidence has to be done to assess its real impact on recommendation performance.\",\"bibtex\":\"@inproceedings{Mauro:2019b,\\r\\n author = {Noemi Mauro and Ardissono, Liliana and Hu, Zhongli Filippo},\\r\\n title = {Multi-Faceted Trust-Based Collaborative Filtering},\\r\\n year = {2019},\\r\\n isbn = {9781450360210},\\r\\n publisher = {Association for Computing Machinery},\\r\\n location = {New York, NY, USA},\\r\\n url_Link = {https://doi.org/10.1145/3320435.3320441},\\r\\n url_Paper = {2019_UMAP_Trust.pdf},\\r\\n doi = {10.1145/3320435.3320441},\\r\\n booktitle = {Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization},\\r\\n pages = {216–224},\\r\\n numpages = {9},\\r\\n keywords = {thematic maps, information search, personalization., session-based concept suggestion},\\r\\n address = {Larnaca, Cyprus},\\r\\n series = {UMAP ’19},\\r\\n abstract = {Many collaborative recommender systems leverage social correlation theories to improve suggestion performance. However, they focus on explicit relations between users and they leave out other types of information that can contribute to determine users' global reputation; e.g., public recognition of reviewers' quality.We are interested in understanding if and when these additional types of feedback improve Top-N recommendation. For this purpose, we propose a multi-faceted trust model to integrate local trust, represented by social links, with various types of global trust evidence provided by social networks. We aim at identifying general classes of data in order to make our model applicable to different case studies. Then, we test the model by applying it to a variant of User-to-User Collaborative filtering (U2UCF) which supports the fusion of rating similarity, local trust derived from social relations, and multi-faceted reputation for rating prediction.We test our model on two datasets: the Yelp one publishes generic friend relations between users but provides different types of trust feedback, including user profile endorsements. The LibraryThing dataset offers fewer types of feedback but it provides more selective friend relations aimed at content sharing. The results of our experiments show that, on the Yelp dataset, our model outperforms both U2UCF and state-of-the-art trust-based recommenders that only use rating similarity and social relations. Differently, in the LibraryThing dataset, the combination of social relations and rating similarity achieves the best results. The lesson we learn is that multi-faceted trust can be a valuable type of information for recommendation. However, before using it in an application domain, an analysis of the type and amount of available trust evidence has to be done to assess its real impact on recommendation performance.},\\r\\n}\\r\\n\\r\\n\\r\\n  \",\"author_short\":[\"Mauro, N.\",\"Ardissono, L.\",\"Hu, Z. F.\"],\"key\":\"Mauro:2019b\",\"id\":\"Mauro:2019b\",\"bibbaseid\":\"mauro-ardissono-hu-multifacetedtrustbasedcollaborativefiltering-2019\",\"role\":\"author\",\"urls\":{\" link\":\"https://doi.org/10.1145/3320435.3320441\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2019_UMAP_Trust.pdf\"},\"keyword\":[\"thematic maps\",\"information search\",\"personalization.\",\"session-based concept suggestion\"],\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"firstnames\":[\"Noemi\"],\"propositions\":[],\"lastnames\":[\"Mauro\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ardissono\"],\"firstnames\":[\"Liliana\"],\"suffixes\":[]}],\"title\":\"Extending a Tag-Based Collaborative Recommender with Co-Occurring Information Interests\",\"year\":\"2019\",\"isbn\":\"9781450360210\",\"publisher\":\"Association for Computing Machinery\",\"location\":\"New York, NY, USA\",\"url_link\":\"https://doi.org/10.1145/3320435.3320458\",\"url_paper\":\"2019_UMAP_Cat.pdf\",\"doi\":\"10.1145/3320435.3320458\",\"booktitle\":\"Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization\",\"pages\":\"181–190\",\"numpages\":\"10\",\"keywords\":\"collaborative filtering, category-based user profiles, tag-based recommender systems, preference co-occurrence in information search.\",\"address\":\"Larnaca, Cyprus\",\"series\":\"UMAP ’19\",\"abstract\":\"Collaborative Filtering is largely applied to personalize item recommendation but its performance is affected by the sparsity of rating data. In order to address this issue, recent systems have been developed to improve recommendation by extracting latent factors from the rating matrices, or by exploiting trust relations established among users in social networks. In this work, we are interested in evaluating whether other sources of preference information than ratings and social ties can be used to improve recommendation performance. Specifically, we aim at testing whether the integration of frequently co-occurring interests in information search logs can improve recommendation performance in User-to-User Collaborative Filtering (U2UCF). For this purpose, we propose the Extended Category-based Collaborative Filtering (ECCF) recommender, which enriches category-based user profiles derived from the analysis of rating behavior with data categories that are frequently searched together by people in search sessions. We test our model using a big rating dataset and a log of a largely used search engine to extract the co-occurrence of interests. The experiments show that ECCF outperforms U2UCF and category-based collaborative recommendation in accuracy, MRR, diversity of recommendations and user coverage. Moreover, it outperforms the SVD++ Matrix Factorization algorithm in accuracy and diversity of recommendation lists.\",\"bibtex\":\"@inproceedings{Mauro:2019a,\\r\\n author = {Noemi Mauro and Ardissono, Liliana},\\r\\n title = {Extending a Tag-Based Collaborative Recommender with Co-Occurring Information Interests},\\r\\n year = {2019},\\r\\n isbn = {9781450360210},\\r\\n publisher = {Association for Computing Machinery},\\r\\n location = {New York, NY, USA},\\r\\n url_Link = {https://doi.org/10.1145/3320435.3320458},\\r\\n url_Paper = {2019_UMAP_Cat.pdf},\\r\\n doi = {10.1145/3320435.3320458},\\r\\n booktitle = {Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization},\\r\\n pages = {181–190},\\r\\n numpages = {10},\\r\\n keywords = {collaborative filtering, category-based user profiles, tag-based recommender systems, preference co-occurrence in information search.},\\r\\n address = {Larnaca, Cyprus},\\r\\n series = {UMAP ’19},\\r\\n abstract = {Collaborative Filtering is largely applied to personalize item recommendation but its performance is affected by the sparsity of rating data. In order to address this issue, recent systems have been developed to improve recommendation by extracting latent factors from the rating matrices, or by exploiting trust relations established among users in social networks. In this work, we are interested in evaluating whether other sources of preference information than ratings and social ties can be used to improve recommendation performance. Specifically, we aim at testing whether the integration of frequently co-occurring interests in information search logs can improve recommendation performance in User-to-User Collaborative Filtering (U2UCF). For this purpose, we propose the Extended Category-based Collaborative Filtering (ECCF) recommender, which enriches category-based user profiles derived from the analysis of rating behavior with data categories that are frequently searched together by people in search sessions. We test our model using a big rating dataset and a log of a largely used search engine to extract the co-occurrence of interests. The experiments show that ECCF outperforms U2UCF and category-based collaborative recommendation in accuracy, MRR, diversity of recommendations and user coverage. Moreover, it outperforms the SVD++ Matrix Factorization algorithm in accuracy and diversity of recommendation lists.},\\r\\n}\\r\\n\\r\\n\",\"author_short\":[\"Mauro, N.\",\"Ardissono, L.\"],\"key\":\"Mauro:2019a\",\"id\":\"Mauro:2019a\",\"bibbaseid\":\"mauro-ardissono-extendingatagbasedcollaborativerecommenderwithcooccurringinformationinterests-2019\",\"role\":\"author\",\"urls\":{\" link\":\"https://doi.org/10.1145/3320435.3320458\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2019_UMAP_Cat.pdf\"},\"keyword\":[\"collaborative filtering\",\"category-based user profiles\",\"tag-based recommender systems\",\"preference co-occurrence in information search.\"],\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"firstnames\":[\"Noemi\"],\"propositions\":[],\"lastnames\":[\"Mauro\"],\"suffixes\":[]}],\"title\":\"Supporting the Exploration of Cultural Heritage Information via Search Behavior Analysis\",\"year\":\"2019\",\"isbn\":\"9781450367110\",\"publisher\":\"Association for Computing Machinery\",\"location\":\"New York, NY, USA\",\"url_link\":\"https://doi.org/10.1145/3314183.3323862\",\"url_paper\":\"2019_PATCH_Topics.pdf\",\"doi\":\"10.1145/3314183.3323862\",\"booktitle\":\"Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization\",\"pages\":\"371–376\",\"numpages\":\"6\",\"keywords\":\"session-based concept suggestion, personalization, thematic maps, information search\",\"address\":\"Larnaca, Cyprus\",\"series\":\"UMAP’19 Adjunct\",\"abstract\":\"Thematic maps, traditionally developed to present specific themes within defined geographical areas, are an interesting information presentation model for Cultural Heritage exploration because of the abstract view on the territory they provide. However, in order to cope with possibly heterogeneous user interests, they should be adapted to the individual user by including the relevant types of information, given her/his specific interests. In a previous paper, we proposed an approach to the integration of thematic maps in the OnToMap Participatory GIS (Geographic Information System), in order to support query expansion during an exploratory search task. The proposed maps were built on the basis of a survey in which we asked people to rate the relevance of a set of concepts to five main themes around which we developed the maps. In this paper we go one step forward and we propose a more general approach to information search support in order to automatically create thematic maps, based on the analysis of frequently co-occurring search interests in a search engine query log. This type of analysis supports the identification of clusters of concepts that people frequently search within the same sessions and helps the identification of co-occurring topics that can be proposed to users when exploring an information space. In this way, when the user browses a catalog of Cultural Heritage information, (s)he can both visualize the thematic maps relevant to the search context, and be guided in the navigation within types of information, looking for possibly complementary types of data to satisfy her/his needs.\",\"bibtex\":\"@inproceedings{Mauro:2019c,\\r\\n author = {Noemi Mauro},\\r\\n title = {Supporting the Exploration of Cultural Heritage Information via Search Behavior Analysis},\\r\\n year = {2019},\\r\\n isbn = {9781450367110},\\r\\n publisher = {Association for Computing Machinery},\\r\\n location = {New York, NY, USA},\\r\\n url_Link = {https://doi.org/10.1145/3314183.3323862},\\r\\n url_Paper = {2019_PATCH_Topics.pdf},\\r\\n doi = {10.1145/3314183.3323862},\\r\\n booktitle = {Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization},\\r\\n pages = {371–376},\\r\\n numpages = {6},\\r\\n keywords = {session-based concept suggestion, personalization, thematic maps, information search},\\r\\n address = {Larnaca, Cyprus},\\r\\n series = {UMAP’19 Adjunct},\\r\\n abstract = {Thematic maps, traditionally developed to present specific themes within defined geographical areas, are an interesting information presentation model for Cultural Heritage exploration because of the abstract view on the territory they provide. However, in order to cope with possibly heterogeneous user interests, they should be adapted to the individual user by including the relevant types of information, given her/his specific interests. In a previous paper, we proposed an approach to the integration of thematic maps in the OnToMap Participatory GIS (Geographic Information System), in order to support query expansion during an exploratory search task. The proposed maps were built on the basis of a survey in which we asked people to rate the relevance of a set of concepts to five main themes around which we developed the maps. In this paper we go one step forward and we propose a more general approach to information search support in order to automatically create thematic maps, based on the analysis of frequently co-occurring search interests in a search engine query log. This type of analysis supports the identification of clusters of concepts that people frequently search within the same sessions and helps the identification of co-occurring topics that can be proposed to users when exploring an information space. In this way, when the user browses a catalog of Cultural Heritage information, (s)he can both visualize the thematic maps relevant to the search context, and be guided in the navigation within types of information, looking for possibly complementary types of data to satisfy her/his needs.},\\r\\n}\\r\\n\\r\\n\",\"author_short\":[\"Mauro, N.\"],\"key\":\"Mauro:2019c\",\"id\":\"Mauro:2019c\",\"bibbaseid\":\"mauro-supportingtheexplorationofculturalheritageinformationviasearchbehavioranalysis-2019\",\"role\":\"author\",\"urls\":{\" link\":\"https://doi.org/10.1145/3314183.3323862\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2019_PATCH_Topics.pdf\"},\"keyword\":[\"session-based concept suggestion\",\"personalization\",\"thematic maps\",\"information search\"],\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Ardissono\"],\"firstnames\":[\"Liliana\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Gena\"],\"firstnames\":[\"Cristina\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Kuflik\"],\"firstnames\":[\"Tsvi\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Mauro\"],\"firstnames\":[\"Noemi\"],\"suffixes\":[]}],\"title\":\"UMAP PATCH 2019 Chairs' Welcome\",\"year\":\"2019\",\"isbn\":\"9781450367110\",\"publisher\":\"Association for Computing Machinery\",\"address\":\"New York, NY, USA\",\"url_link\":\"https://doi.org/10.1145/3314183.3323860\",\"doi\":\"10.1145/3314183.3323860\",\"booktitle\":\"Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization\",\"pages\":\"359–361\",\"numpages\":\"3\",\"keywords\":\"recommender systems, personalization, cultural heritage, user modeling.\",\"location\":\"Larnaca, Cyprus\",\"series\":\"UMAP'19 Adjunct\",\"bibtex\":\"@inproceedings{patch2019,\\r\\nauthor = {Ardissono, Liliana and Gena, Cristina and Kuflik, Tsvi and Mauro, Noemi},\\r\\ntitle = {UMAP PATCH 2019 Chairs' Welcome},\\r\\nyear = {2019},\\r\\nisbn = {9781450367110},\\r\\npublisher = {Association for Computing Machinery},\\r\\naddress = {New York, NY, USA},\\r\\nurl_Link = {https://doi.org/10.1145/3314183.3323860},\\r\\ndoi = {10.1145/3314183.3323860},\\r\\nbooktitle = {Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization},\\r\\npages = {359–361},\\r\\nnumpages = {3},\\r\\nkeywords = {recommender systems, personalization, cultural heritage, user modeling.},\\r\\nlocation = {Larnaca, Cyprus},\\r\\nseries = {UMAP'19 Adjunct}\\r\\n}\\r\\n\\r\\n\",\"author_short\":[\"Ardissono, L.\",\"Gena, C.\",\"Kuflik, T.\",\"Mauro, N.\"],\"key\":\"patch2019\",\"id\":\"patch2019\",\"bibbaseid\":\"ardissono-gena-kuflik-mauro-umappatch2019chairswelcome-2019\",\"role\":\"author\",\"urls\":{\" link\":\"https://doi.org/10.1145/3314183.3323860\"},\"keyword\":[\"recommender systems\",\"personalization\",\"cultural heritage\",\"user modeling.\"],\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Mauro\"],\"firstnames\":[\"Noemi\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Di\",\"Rocco\"],\"firstnames\":[\"Laura\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ardissono\"],\"firstnames\":[\"Liliana\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Bertolotto\"],\"firstnames\":[\"Michela\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Guerrini\"],\"firstnames\":[\"Giovanna\"],\"suffixes\":[]}],\"title\":\"Impact of Semantic Granularity on Geographic Information Search Support\",\"booktitle\":\"Proceedings of the International Conference on Web Intelligence\",\"series\":\"WI '18\",\"year\":\"2018\",\"url_link\":\"https://ieeexplore.ieee.org/document/8609610\",\"url_paper\":\"2018_WI_Granularity.pdf\",\"doi\":\"10.1109/WI.2018.00-73\",\"address\":\"Santiago De Chile, Chile\",\"keywords\":\"geographical information retrieval, semantic granularity, session-based concept suggestion\",\"abstract\":\"The Information Retrieval research has used semantics to provide accurate search results, but the analysis of conceptual abstraction has mainly focused on information integration. We consider session-based query expansion in Geographical Information Retrieval, and investigate the impact of semantic granularity (i.e., specificity of concepts representation) on the suggestion of relevant types of information to search for. We study how different levels of detail in knowledge representation influence the capability of guiding the user in the exploration of a complex information space. A comparative analysis of the performance of a query expansion model, using three spatial ontologies defined at different semantic granularity levels, reveals that a fine-grained representation enhances recall. However, precision depends on how closely the ontologies match the way people conceptualize and verbally describe the geographic space.\",\"bibtex\":\"@inproceedings{Mauro:2018b,\\r\\n author = {Mauro, Noemi and Di Rocco, Laura and Ardissono, Liliana and Bertolotto, Michela and Guerrini, Giovanna},\\r\\n title = {Impact of Semantic Granularity on Geographic Information Search Support},\\r\\n booktitle = {Proceedings of the International Conference on Web Intelligence},\\r\\n series = {WI '18},\\r\\n year = {2018},\\r\\n url_Link = {https://ieeexplore.ieee.org/document/8609610},\\r\\n url_Paper = {2018_WI_Granularity.pdf},\\r\\n doi={10.1109/WI.2018.00-73},\\r\\n address = {Santiago De Chile, Chile},\\r\\n keywords = {geographical information retrieval, semantic granularity, session-based concept suggestion},\\r\\n abstract = {The Information Retrieval research has used semantics to provide accurate search results, but the analysis of conceptual abstraction has mainly focused on information integration. We consider session-based query expansion in Geographical Information Retrieval, and investigate the impact of semantic granularity (i.e., specificity of concepts representation) on the suggestion of relevant types of information to search for. We study how different levels of detail in knowledge representation influence the capability of guiding the user in the exploration of a complex information space. A comparative analysis of the performance of a query expansion model, using three spatial ontologies defined at different semantic granularity levels, reveals that a fine-grained representation enhances recall. However, precision depends on how closely the ontologies match the way people conceptualize and verbally describe the geographic space.}\\r\\n} \\r\\n\\r\\n\",\"author_short\":[\"Mauro, N.\",\"Di Rocco, L.\",\"Ardissono, L.\",\"Bertolotto, M.\",\"Guerrini, G.\"],\"key\":\"Mauro:2018b\",\"id\":\"Mauro:2018b\",\"bibbaseid\":\"mauro-dirocco-ardissono-bertolotto-guerrini-impactofsemanticgranularityongeographicinformationsearchsupport-2018\",\"role\":\"author\",\"urls\":{\" link\":\"https://ieeexplore.ieee.org/document/8609610\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2018_WI_Granularity.pdf\"},\"keyword\":[\"geographical information retrieval\",\"semantic granularity\",\"session-based concept suggestion\"],\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Ardissono\"],\"firstnames\":[\"Liliana\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Delsanto\"],\"firstnames\":[\"Matteo\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Lucenteforte\"],\"firstnames\":[\"Maurizio\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Mauro\"],\"firstnames\":[\"Noemi\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Savoca\"],\"firstnames\":[\"Adriano\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Scanu\"],\"firstnames\":[\"Daniele\"],\"suffixes\":[]}],\"title\":\"Map-Based Visualization of 2D/3D Spatial Data via Stylization and Tuning of Information Emphasis\",\"year\":\"2018\",\"isbn\":\"9781450356169\",\"publisher\":\"Association for Computing Machinery\",\"address\":\"New York, NY, USA\",\"pages\":\"38:1–38:5\",\"url_link\":\"https://doi.org/10.1145/3206505.3206516\",\"url_paper\":\"2018_AVI_3D_Short.pdf\",\"doi\":\"10.1145/3206505.3206516\",\"abstract\":\"In Geographical Information search, map visualization can challenge the user because results can consist of a large set of heterogeneous items, increasing visual complexity. We propose a novel visualization model to address this issue. Our model represents results as markers, or as geometric objects, on 2D/3D layers, using stylized and highly colored shapes to enhance their visibility. Moreover, the model supports interactive information filtering in the map by enabling the user to focus on different data categories, using transparency sliders to tune the opacity, and thus the emphasis, of the corresponding data items. A test with users provided positive results concerning the efficacy of the model.\",\"booktitle\":\"Proceedings of the 2018 International Conference on Advanced Visual Interfaces\",\"articleno\":\"38\",\"numpages\":\"5\",\"keywords\":\"visual information filtering, search results visualization, opacity tuning, 2D/3D geographical maps\",\"location\":\"Castiglione della Pescaia, Grosseto, Italy\",\"series\":\"AVI '18\",\"bibtex\":\"@inproceedings{Ardissono-etal:18,\\r\\nauthor = {Ardissono, Liliana and Delsanto, Matteo and Lucenteforte, Maurizio and Mauro, Noemi and Savoca, Adriano and Scanu, Daniele},\\r\\ntitle = {Map-Based Visualization of 2D/3D Spatial Data via Stylization and Tuning of Information Emphasis},\\r\\nyear = {2018},\\r\\nisbn = {9781450356169},\\r\\npublisher = {Association for Computing Machinery},\\r\\naddress = {New York, NY, USA},\\r\\n pages = {38:1--38:5},\\r\\nurl_Link = {https://doi.org/10.1145/3206505.3206516},\\r\\nurl_Paper = {2018_AVI_3D_Short.pdf},\\r\\ndoi = {10.1145/3206505.3206516},\\r\\nabstract = {In Geographical Information search, map visualization can challenge the user because results can consist of a large set of heterogeneous items, increasing visual complexity. We propose a novel visualization model to address this issue. Our model represents results as markers, or as geometric objects, on 2D/3D layers, using stylized and highly colored shapes to enhance their visibility. Moreover, the model supports interactive information filtering in the map by enabling the user to focus on different data categories, using transparency sliders to tune the opacity, and thus the emphasis, of the corresponding data items. A test with users provided positive results concerning the efficacy of the model.},\\r\\nbooktitle = {Proceedings of the 2018 International Conference on Advanced Visual Interfaces},\\r\\narticleno = {38},\\r\\nnumpages = {5},\\r\\nkeywords = {visual information filtering, search results visualization, opacity tuning, 2D/3D geographical maps},\\r\\nlocation = {Castiglione della Pescaia, Grosseto, Italy},\\r\\nseries = {AVI '18}\\r\\n}\\r\\n\\r\\n\\r\\n\",\"author_short\":[\"Ardissono, L.\",\"Delsanto, M.\",\"Lucenteforte, M.\",\"Mauro, N.\",\"Savoca, A.\",\"Scanu, D.\"],\"key\":\"Ardissono-etal:18\",\"id\":\"Ardissono-etal:18\",\"bibbaseid\":\"ardissono-delsanto-lucenteforte-mauro-savoca-scanu-mapbasedvisualizationof2d3dspatialdataviastylizationandtuningofinformationemphasis-2018\",\"role\":\"author\",\"urls\":{\" link\":\"https://doi.org/10.1145/3206505.3206516\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2018_AVI_3D_Short.pdf\"},\"keyword\":[\"visual information filtering\",\"search results visualization\",\"opacity tuning\",\"2D/3D geographical maps\"],\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Ardissono\"],\"firstnames\":[\"Liliana\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Delsanto\"],\"firstnames\":[\"Matteo\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Lucenteforte\"],\"firstnames\":[\"Maurizio\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Mauro\"],\"firstnames\":[\"Noemi\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Savoca\"],\"firstnames\":[\"Adriano\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Scanu\"],\"firstnames\":[\"Daniele\"],\"suffixes\":[]}],\"title\":\"Transparency-Based Information Filtering on 2D/3D Geographical Maps\",\"year\":\"2018\",\"isbn\":\"9781450356169\",\"publisher\":\"Association for Computing Machinery\",\"address\":\"New York, NY, USA\",\"url_link\":\"https://doi.org/10.1145/3206505.3206566\",\"url_paper\":\"2018_AVI_3D_Demo.pdf\",\"doi\":\"10.1145/3206505.3206566\",\"pages\":\"56:1–56:3\",\"abstract\":\"The presentation of search results in GIS can expose the user to cluttered geographical maps, challenging the identification of relevant information. In order to address this issue, we propose a visualization model supporting interactive information filtering on 2D/3D maps. Our model is based on the introduction of transparency sliders that enable the user to tune the opacity, and thus the emphasis, of data categories in the map. In this way, he or she can focus the maps on the most relevant types of information for the task to be performed. A test with users provided positive results concerning the efficacy of our model.\",\"booktitle\":\"Proceedings of the 2018 International Conference on Advanced Visual Interfaces\",\"articleno\":\"56\",\"numpages\":\"3\",\"keywords\":\"visual information filtering, search results visualization, opacity tuning, 2D/3D geographical maps\",\"location\":\"Castiglione della Pescaia, Grosseto, Italy\",\"series\":\"AVI '18\",\"bibtex\":\"@inproceedings{Ardissono-etal:18b,\\r\\nauthor = {Ardissono, Liliana and Delsanto, Matteo and Lucenteforte, Maurizio and Mauro, Noemi and Savoca, Adriano and Scanu, Daniele},\\r\\ntitle = {Transparency-Based Information Filtering on 2D/3D Geographical Maps},\\r\\nyear = {2018},\\r\\nisbn = {9781450356169},\\r\\npublisher = {Association for Computing Machinery},\\r\\naddress = {New York, NY, USA},\\r\\nurl_Link = {https://doi.org/10.1145/3206505.3206566},\\r\\nurl_Paper = {2018_AVI_3D_Demo.pdf},\\r\\ndoi = {10.1145/3206505.3206566},\\r\\n pages = {56:1--56:3},\\r\\nabstract = {The presentation of search results in GIS can expose the user to cluttered geographical maps, challenging the identification of relevant information. In order to address this issue, we propose a visualization model supporting interactive information filtering on 2D/3D maps. Our model is based on the introduction of transparency sliders that enable the user to tune the opacity, and thus the emphasis, of data categories in the map. In this way, he or she can focus the maps on the most relevant types of information for the task to be performed. A test with users provided positive results concerning the efficacy of our model.},\\r\\nbooktitle = {Proceedings of the 2018 International Conference on Advanced Visual Interfaces},\\r\\narticleno = {56},\\r\\nnumpages = {3},\\r\\nkeywords = {visual information filtering, search results visualization, opacity tuning, 2D/3D geographical maps},\\r\\nlocation = {Castiglione della Pescaia, Grosseto, Italy},\\r\\nseries = {AVI '18}\\r\\n}\\r\\n\\r\\n\\r\\n\",\"author_short\":[\"Ardissono, L.\",\"Delsanto, M.\",\"Lucenteforte, M.\",\"Mauro, N.\",\"Savoca, A.\",\"Scanu, D.\"],\"key\":\"Ardissono-etal:18b\",\"id\":\"Ardissono-etal:18b\",\"bibbaseid\":\"ardissono-delsanto-lucenteforte-mauro-savoca-scanu-transparencybasedinformationfilteringon2d3dgeographicalmaps-2018\",\"role\":\"author\",\"urls\":{\" link\":\"https://doi.org/10.1145/3206505.3206566\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2018_AVI_3D_Demo.pdf\"},\"keyword\":[\"visual information filtering\",\"search results visualization\",\"opacity tuning\",\"2D/3D geographical maps\"],\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Mauro\"],\"firstnames\":[\"Noemi\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ardissono\"],\"firstnames\":[\"Liliana\"],\"suffixes\":[]}],\"title\":\"Session-Based Suggestion of Topics for Geographic Exploratory Search\",\"year\":\"2018\",\"isbn\":\"9781450349451\",\"publisher\":\"Association for Computing Machinery\",\"address\":\"New York, NY, USA\",\"url_link\":\"https://doi.org/10.1145/3172944.3172957\",\"url_paper\":\"2018_IUI_Topics.pdf\",\"doi\":\"10.1145/3172944.3172957\",\"abstract\":\"Exploratory information search can challenge users in the formulation of efficacious search queries. Moreover, complex information spaces, such as those managed by Geographical Information Systems, can disorient people, making it difficult to find relevant data. In order to address these issues, we developed a session-based suggestion model that proposes concepts as a em \\\"you might also be interested in»» function, by taking the user»s previous queries into account. Our model can be applied to incrementally generate suggestions in interactive search. It can be used for query expansion, and in general to guide users in the exploration of possibly complex spaces of data categories. Our model is based on a concept co-occurrence graph that describes how frequently concepts are searched together in search sessions. Starting from an ontological domain representation, we generated the graph by analyzing the query log of a major search engine. Moreover, we identified clusters of ontology concepts which frequently co-occur in the sessions of the log via community detection on the graph. The evaluation of our model provided satisfactory accuracy results.\",\"booktitle\":\"23rd International Conference on Intelligent User Interfaces\",\"pages\":\"341–352\",\"numpages\":\"12\",\"keywords\":\"query expansion, geographical information retrieval, session-based concept suggestion\",\"location\":\"Tokyo, Japan\",\"series\":\"IUI '18\",\"bibtex\":\"@inproceedings{Mauro:2018,\\r\\nauthor = {Mauro, Noemi and Ardissono, Liliana},\\r\\ntitle = {Session-Based Suggestion of Topics for Geographic Exploratory Search},\\r\\nyear = {2018},\\r\\nisbn = {9781450349451},\\r\\npublisher = {Association for Computing Machinery},\\r\\naddress = {New York, NY, USA},\\r\\nurl_Link = {https://doi.org/10.1145/3172944.3172957},\\r\\nurl_Paper= {2018_IUI_Topics.pdf},\\r\\ndoi = {10.1145/3172944.3172957},\\r\\nabstract = {Exploratory information search can challenge users in the formulation of efficacious search queries. Moreover, complex information spaces, such as those managed by Geographical Information Systems, can disorient people, making it difficult to find relevant data. In order to address these issues, we developed a session-based suggestion model that proposes concepts as a em \\\"you might also be interested in»» function, by taking the user»s previous queries into account. Our model can be applied to incrementally generate suggestions in interactive search. It can be used for query expansion, and in general to guide users in the exploration of possibly complex spaces of data categories. Our model is based on a concept co-occurrence graph that describes how frequently concepts are searched together in search sessions. Starting from an ontological domain representation, we generated the graph by analyzing the query log of a major search engine. Moreover, we identified clusters of ontology concepts which frequently co-occur in the sessions of the log via community detection on the graph. The evaluation of our model provided satisfactory accuracy results.},\\r\\nbooktitle = {23rd International Conference on Intelligent User Interfaces},\\r\\npages = {341–352},\\r\\nnumpages = {12},\\r\\nkeywords = {query expansion, geographical information retrieval, session-based concept suggestion},\\r\\nlocation = {Tokyo, Japan},\\r\\nseries = {IUI '18}\\r\\n}\\r\\n\\r\\n\",\"author_short\":[\"Mauro, N.\",\"Ardissono, L.\"],\"key\":\"Mauro:2018\",\"id\":\"Mauro:2018\",\"bibbaseid\":\"mauro-ardissono-sessionbasedsuggestionoftopicsforgeographicexploratorysearch-2018\",\"role\":\"author\",\"urls\":{\" link\":\"https://doi.org/10.1145/3172944.3172957\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2018_IUI_Topics.pdf\"},\"keyword\":[\"query expansion\",\"geographical information retrieval\",\"session-based concept suggestion\"],\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Mauro\"],\"firstnames\":[\"Noemi\"],\"suffixes\":[]}],\"title\":\"Suggestion Models in Geographic Exploratory Search\",\"year\":\"2018\",\"isbn\":\"9781450349451\",\"publisher\":\"Association for Computing Machinery\",\"address\":\"New York, NY, USA\",\"url_link\":\"https://doi.org/10.1145/3172944.3173148\",\"url_paper\":\"2018_IUI_DC.pdf\",\"doi\":\"10.1145/3172944.3173148\",\"abstract\":\"My PhD project focuses on the suggestion of information categories in exploratory search in a geographical domain. Geographical maps may challenge the user in the exploration of possibly complex information spaces, making difficult to find all the relevant data for the completion of her/his search task. I propose different models for concepts suggestion which, given a search query, allow the creation of clusters of categories useful for query expansion as a \\\"you might be interested in\\\" function. The training of these models is done by exploiting different types of information: search sessions, users» preferences and social data coming from Twitter.\",\"booktitle\":\"23rd International Conference on Intelligent User Interfaces\",\"pages\":\"669–670\",\"numpages\":\"2\",\"keywords\":\"geographical information retrieval and search, query expansion, session-based concept suggestion\",\"location\":\"Tokyo, Japan\",\"series\":\"IUI '18\",\"bibtex\":\"@inproceedings{Mauro:2018a,\\r\\nauthor = {Mauro, Noemi},\\r\\ntitle = {Suggestion Models in Geographic Exploratory Search},\\r\\nyear = {2018},\\r\\nisbn = {9781450349451},\\r\\npublisher = {Association for Computing Machinery},\\r\\naddress = {New York, NY, USA},\\r\\nurl_Link = {https://doi.org/10.1145/3172944.3173148},\\r\\nurl_Paper = {2018_IUI_DC.pdf},\\r\\ndoi = {10.1145/3172944.3173148},\\r\\nabstract = {My PhD project focuses on the suggestion of information categories in exploratory search in a geographical domain. Geographical maps may challenge the user in the exploration of possibly complex information spaces, making difficult to find all the relevant data for the completion of her/his search task. I propose different models for concepts suggestion which, given a search query, allow the creation of clusters of categories useful for query expansion as a \\\"you might be interested in\\\" function. The training of these models is done by exploiting different types of information: search sessions, users» preferences and social data coming from Twitter.},\\r\\nbooktitle = {23rd International Conference on Intelligent User Interfaces},\\r\\npages = {669–670},\\r\\nnumpages = {2},\\r\\nkeywords = {geographical information retrieval and search, query expansion, session-based concept suggestion},\\r\\nlocation = {Tokyo, Japan},\\r\\nseries = {IUI '18}\\r\\n}\\r\\n\\r\\n\\r\\n\\r\\n\",\"author_short\":[\"Mauro, N.\"],\"key\":\"Mauro:2018a\",\"id\":\"Mauro:2018a\",\"bibbaseid\":\"mauro-suggestionmodelsingeographicexploratorysearch-2018\",\"role\":\"author\",\"urls\":{\" link\":\"https://doi.org/10.1145/3172944.3173148\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2018_IUI_DC.pdf\"},\"keyword\":[\"geographical information retrieval and search\",\"query expansion\",\"session-based concept suggestion\"],\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"author\":[{\"firstnames\":[\"Liliana\"],\"propositions\":[],\"lastnames\":[\"Ardissono\"],\"suffixes\":[]},{\"firstnames\":[\"Maurizio\"],\"propositions\":[],\"lastnames\":[\"Lucenteforte\"],\"suffixes\":[]},{\"firstnames\":[\"Noemi\"],\"propositions\":[],\"lastnames\":[\"Mauro\"],\"suffixes\":[]},{\"firstnames\":[\"Adriano\"],\"propositions\":[],\"lastnames\":[\"Savoca\"],\"suffixes\":[]},{\"firstnames\":[\"Angioletta\"],\"propositions\":[],\"lastnames\":[\"Voghera\"],\"suffixes\":[]}],\"title\":\"Personalised Community Maps\",\"journal\":\"International Journal of Electronic Governance\",\"publisher\":\"Inderscience\",\"volume\":\"9\",\"number\":\"1-2\",\"pages\":\"156-178\",\"year\":\"2017\",\"doi\":\"10.1504/IJEG.2017.084648\",\"url_link\":\"https://doi.org/10.1504/IJEG.2017.084648\",\"abstract\":\"Abstract: With the convergence of geographical information systems (GIS) and internet technology, the public administration is starting to use online maps as a web-based bidirectional communication channel with the population: maps are used: i) in public portals, for publishing and crowdsourcing information about the territory; ii) in policy-making, for defining a community vision of the territory and for involving people in public choices. Both cases raise challenges related to the large amount of data handled in the maps, and to their lack of group collaboration support. We attempted to address these issues by developing an information-sharing model, and a testbed software application, that support group management and the generation of persistent, custom community maps focused on the user's interests. Our model builds on tag-based user profiles and on information filtering. This paper describes our model and the results of an evaluation of the GroupMapping application, based on it.\",\"bibtex\":\"@article{Ardissono-etal:17e,\\r\\n   author = {Liliana Ardissono and Maurizio Lucenteforte and Noemi Mauro and Adriano Savoca and Angioletta Voghera},\\r\\n   title = {Personalised Community Maps},\\r\\n   journal = {International Journal of Electronic Governance},\\r\\n   publisher = {Inderscience},\\r\\n   volume = {9},\\r\\n   number = {1-2},\\r\\n   pages = {156-178},\\r\\n   year = {2017},\\r\\n    doi = {10.1504/IJEG.2017.084648},\\r\\n    url_Link = {https://doi.org/10.1504/IJEG.2017.084648},\\r\\n    abstract = {Abstract: With the convergence of geographical information systems (GIS) and internet technology, the public administration is starting to use online maps as a web-based bidirectional communication channel with the population: maps are used: i) in public portals, for publishing and crowdsourcing information about the territory; ii) in policy-making, for defining a community vision of the territory and for involving people in public choices. Both cases raise challenges related to the large amount of data handled in the maps, and to their lack of group collaboration support. We attempted to address these issues by developing an information-sharing model, and a testbed software application, that support group management and the generation of persistent, custom community maps focused on the user's interests. Our model builds on tag-based user profiles and on information filtering. This paper describes our model and the results of an evaluation of the GroupMapping application, based on it.}\\r\\n}\\r\\n\\r\\n\\r\\n\\r\\n \",\"author_short\":[\"Ardissono, L.\",\"Lucenteforte, M.\",\"Mauro, N.\",\"Savoca, A.\",\"Voghera, A.\"],\"key\":\"Ardissono-etal:17e\",\"id\":\"Ardissono-etal:17e\",\"bibbaseid\":\"ardissono-lucenteforte-mauro-savoca-voghera-personalisedcommunitymaps-2017\",\"role\":\"author\",\"urls\":{\" link\":\"https://doi.org/10.1504/IJEG.2017.084648\"},\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Mauro\"],\"firstnames\":[\"Noemi\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ardissono\"],\"firstnames\":[\"Liliana\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Savoca\"],\"firstnames\":[\"Adriano\"],\"suffixes\":[]}],\"title\":\"Concept-Aware Geographic Information Retrieval\",\"year\":\"2017\",\"isbn\":\"9781450349512\",\"publisher\":\"Association for Computing Machinery\",\"address\":\"New York, NY, USA\",\"url_link\":\"https://doi.org/10.1145/3106426.3106498\",\"url_paper\":\"2017_WI_Search.pdf\",\"doi\":\"10.1145/3106426.3106498\",\"abstract\":\"Textual queries are largely employed in information retrieval to let users specify search goals in a natural way. However, differences in user and system terminologies can challenge the identification of the user's information needs, and thus the generation of relevant results. We argue that the explicit management of ontological knowledge, and of the meaning of concepts (by integrating linguistic and encyclopaedic knowledge in the system ontology), can improve the analysis of search queries, because it enables a flexible identification of the topics the user is searching for, regardless of the adopted vocabulary. This paper proposes an information retrieval support model based on semantic concept identification. Starting from the recognition of the ontology concepts that the search query refers to, this model exploits the qualifiers specified in the query to select information items on the basis of possibly fine-grained features. Moreover, it supports query expansion and reformulation by suggesting the exploration of semantically similar concepts, as well as of concepts related to those referred in the query through thematic relations. A test on a data-set collected using the OnToMap Participatory GIS has shown that this approach provides accurate results.\",\"booktitle\":\"Proceedings of the International Conference on Web Intelligence\",\"pages\":\"34–41\",\"numpages\":\"8\",\"keywords\":\"ontologies, information search, participatory GIS, linked data\",\"location\":\"Leipzig, Germany\",\"series\":\"WI '17\",\"bibtex\":\"@inproceedings{Mauro:2017b,\\r\\nauthor = {Mauro, Noemi and Ardissono, Liliana and Savoca, Adriano},\\r\\ntitle = {Concept-Aware Geographic Information Retrieval},\\r\\nyear = {2017},\\r\\nisbn = {9781450349512},\\r\\npublisher = {Association for Computing Machinery},\\r\\naddress = {New York, NY, USA},\\r\\nurl_Link = {https://doi.org/10.1145/3106426.3106498},\\r\\nurl_Paper = {2017_WI_Search.pdf},\\r\\ndoi = {10.1145/3106426.3106498},\\r\\nabstract = {Textual queries are largely employed in information retrieval to let users specify search goals in a natural way. However, differences in user and system terminologies can challenge the identification of the user's information needs, and thus the generation of relevant results. We argue that the explicit management of ontological knowledge, and of the meaning of concepts (by integrating linguistic and encyclopaedic knowledge in the system ontology), can improve the analysis of search queries, because it enables a flexible identification of the topics the user is searching for, regardless of the adopted vocabulary. This paper proposes an information retrieval support model based on semantic concept identification. Starting from the recognition of the ontology concepts that the search query refers to, this model exploits the qualifiers specified in the query to select information items on the basis of possibly fine-grained features. Moreover, it supports query expansion and reformulation by suggesting the exploration of semantically similar concepts, as well as of concepts related to those referred in the query through thematic relations. A test on a data-set collected using the OnToMap Participatory GIS has shown that this approach provides accurate results.},\\r\\nbooktitle = {Proceedings of the International Conference on Web Intelligence},\\r\\npages = {34–41},\\r\\nnumpages = {8},\\r\\nkeywords = {ontologies, information search, participatory GIS, linked data},\\r\\nlocation = {Leipzig, Germany},\\r\\nseries = {WI '17}\\r\\n}\\r\\n\\r\\n\",\"author_short\":[\"Mauro, N.\",\"Ardissono, L.\",\"Savoca, A.\"],\"key\":\"Mauro:2017b\",\"id\":\"Mauro:2017b\",\"bibbaseid\":\"mauro-ardissono-savoca-conceptawaregeographicinformationretrieval-2017\",\"role\":\"author\",\"urls\":{\" link\":\"https://doi.org/10.1145/3106426.3106498\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2017_WI_Search.pdf\"},\"keyword\":[\"ontologies\",\"information search\",\"participatory GIS\",\"linked data\"],\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Ardissono\"],\"firstnames\":[\"Liliana\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Lucenteforte\"],\"firstnames\":[\"Maurizio\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Mauro\"],\"firstnames\":[\"Noemi\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Savoca\"],\"firstnames\":[\"Adriano\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Voghera\"],\"firstnames\":[\"Angioletta\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"La\",\"Riccia\"],\"firstnames\":[\"Luigi\"],\"suffixes\":[]}],\"title\":\"OnToMap: Semantic Community Maps for Knowledge Sharing\",\"year\":\"2017\",\"isbn\":\"9781450347082\",\"publisher\":\"Association for Computing Machinery\",\"address\":\"New York, NY, USA\",\"url_link\":\"https://doi.org/10.1145/3078714.3078747\",\"url_paper\":\"2017_HT_Demo_Ontomap.pdf\",\"doi\":\"10.1145/3078714.3078747\",\"abstract\":\"We present the information retrieval model adopted in the OnToMap Participatory GIS. The model addresses the limitations of keyword-based and category-based search by semantically interpreting the information needs specified in free-text search queries. The model is based on an ontological representation of linguistic and encyclopaedic knowledge, which makes it possible to exploit terms and synonyms occurring in the definitions of concepts to flexibly match the user's and system's terminologies. This feature enables users to query the application using their own vocabulary.\",\"booktitle\":\"Proceedings of the 28th ACM Conference on Hypertext and Social Media\",\"pages\":\"317–318\",\"numpages\":\"2\",\"keywords\":\"ontologies, linked data, information search, participatory gis\",\"location\":\"Prague, Czech Republic\",\"series\":\"HT '17\",\"bibtex\":\"@inproceedings{Ardissono:2017c,\\r\\nauthor = {Ardissono, Liliana and Lucenteforte, Maurizio and Mauro, Noemi and Savoca, Adriano and Voghera, Angioletta and La Riccia, Luigi},\\r\\ntitle = {OnToMap: Semantic Community Maps for Knowledge Sharing},\\r\\nyear = {2017},\\r\\nisbn = {9781450347082},\\r\\npublisher = {Association for Computing Machinery},\\r\\naddress = {New York, NY, USA},\\r\\nurl_Link = {https://doi.org/10.1145/3078714.3078747},\\r\\nurl_Paper = {2017_HT_Demo_Ontomap.pdf},\\r\\ndoi = {10.1145/3078714.3078747},\\r\\nabstract = {We present the information retrieval model adopted in the OnToMap Participatory GIS. The model addresses the limitations of keyword-based and category-based search by semantically interpreting the information needs specified in free-text search queries. The model is based on an ontological representation of linguistic and encyclopaedic knowledge, which makes it possible to exploit terms and synonyms occurring in the definitions of concepts to flexibly match the user's and system's terminologies. This feature enables users to query the application using their own vocabulary.},\\r\\nbooktitle = {Proceedings of the 28th ACM Conference on Hypertext and Social Media},\\r\\npages = {317–318},\\r\\nnumpages = {2},\\r\\nkeywords = {ontologies, linked data, information search, participatory gis},\\r\\nlocation = {Prague, Czech Republic},\\r\\nseries = {HT '17}\\r\\n}\\r\\n\\r\\n\",\"author_short\":[\"Ardissono, L.\",\"Lucenteforte, M.\",\"Mauro, N.\",\"Savoca, A.\",\"Voghera, A.\",\"La Riccia, L.\"],\"key\":\"Ardissono:2017c\",\"id\":\"Ardissono:2017c\",\"bibbaseid\":\"ardissono-lucenteforte-mauro-savoca-voghera-lariccia-ontomapsemanticcommunitymapsforknowledgesharing-2017\",\"role\":\"author\",\"urls\":{\" link\":\"https://doi.org/10.1145/3078714.3078747\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2017_HT_Demo_Ontomap.pdf\"},\"keyword\":[\"ontologies\",\"linked data\",\"information search\",\"participatory gis\"],\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"firstnames\":[\"Noemi\"],\"propositions\":[],\"lastnames\":[\"Mauro\"],\"suffixes\":[]}],\"title\":\"Personalization in Geographical Information Search\",\"booktitle\":\"Seventh BCS-IRSG Symposium on Future Directions in Information Access\",\"series\":\"FDIA 2017\",\"year\":\"2017\",\"address\":\"Barcelona, Spain\",\"pages\":\"1–4\",\"numpages\":\"4\",\"url_link\":\"http://dx.doi.org/10.14236/ewic/FDIA2017.5\",\"url_paper\":\"2017_FDIA.pdf\",\"doi\":\"10.14236/ewic/FDIA2017.5\",\"publisher\":\"eWiC Series\",\"keywords\":\"Semantic search, personalization, user model, participatory GIS, linked data, ontologies\",\"abstract\":\"My PhD project focuses on the personalization of Participatory GIS (PGIS). In the project I analyze two methodologies to offer personalized search results in community maps and a natural interaction with the system. The first consists of automatically gathering the users interests at a concept level in order to generate clusters of concepts useful for the presentation of thematic maps. This is done by creating ontology-based user models mapped to the domain ontology adopted by the PGIS. The second concerns the creation of content-based user models useful for filtering the items belonging to each concept in a multifaceted way: the goal is that of reducing and adapting the information space presented in the map. In the project I also analyze how these techniques may be jointly used during the query expansion process to retrieve more accurate and relevant search results.\",\"bibtex\":\"@inproceedings{Mauro:2017a,\\r\\n author = {Noemi Mauro},\\r\\n title = {Personalization in Geographical Information Search},\\r\\n booktitle = {Seventh BCS-IRSG Symposium on Future Directions in Information Access},\\r\\n series = {FDIA 2017},\\r\\n year = {2017},\\r\\n address = {Barcelona, Spain},\\r\\n pages = {1--4},\\r\\n numpages = {4},\\r\\n url_Link = {http://dx.doi.org/10.14236/ewic/FDIA2017.5},\\r\\n url_Paper = {2017_FDIA.pdf},\\r\\n doi = {10.14236/ewic/FDIA2017.5},\\r\\n publisher = {eWiC Series},\\r\\n keywords = {Semantic search, personalization, user model, participatory GIS, linked data, ontologies},\\r\\n abstract = {My PhD project focuses on the personalization of Participatory GIS (PGIS). In the project I analyze two methodologies to offer personalized search results in community maps and a natural interaction with the system. The first consists of automatically gathering the users interests at a concept level in order to generate clusters of concepts useful for the presentation of thematic maps. This is done by creating ontology-based user models mapped to the domain ontology adopted by the PGIS. The second concerns the creation of content-based user models useful for filtering the items belonging to each concept in a multifaceted way: the goal is that of reducing and adapting the information space presented in the map. In the project I also analyze how these techniques may be jointly used during the query expansion process to retrieve more accurate and relevant search results.}\\r\\n} \\r\\n\\r\\n\",\"author_short\":[\"Mauro, N.\"],\"key\":\"Mauro:2017a\",\"id\":\"Mauro:2017a\",\"bibbaseid\":\"mauro-personalizationingeographicalinformationsearch-2017\",\"role\":\"author\",\"urls\":{\" link\":\"http://dx.doi.org/10.14236/ewic/FDIA2017.5\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2017_FDIA.pdf\"},\"keyword\":[\"Semantic search\",\"personalization\",\"user model\",\"participatory GIS\",\"linked data\",\"ontologies\"],\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Mauro\"],\"firstnames\":[\"Noemi\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ardissono\"],\"firstnames\":[\"Liliana\"],\"suffixes\":[]}],\"title\":\"Thematic Maps for Geographical Information Search\",\"year\":\"2017\",\"isbn\":\"9781450350679\",\"publisher\":\"Association for Computing Machinery\",\"address\":\"New York, NY, USA\",\"url_link\":\"https://doi.org/10.1145/3099023.3099087\",\"url_paper\":\"2017_PATCH_Thematic_Maps.pdf\",\"doi\":\"10.1145/3099023.3099087\",\"abstract\":\"The exploration of cultural heritage information is challenged by the fact that most data provided by online resources is fragmented and it is repository or application-centered. In order to address this issue, a data integration approach should be adopted, that makes it possible to generate custom views, focused on the user's information needs, but easily extensible to support the inspection of topically related contents.In this paper, we present a model supporting the management of thematic maps for information exploration, and their integration with query expansion during the interaction with the user. Our model is based on: (i) an ontological domain knowledge representation for describing the meaning of concepts and their semantic relations; (ii) a semantic interpretation model for identifying the concepts referenced in the user's queries. We are experimenting our model in the OnToMap Participatory GIS, which manages interactive community maps for information sharing and participatory decision-making.\",\"booktitle\":\"Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization\",\"pages\":\"337–342\",\"numpages\":\"6\",\"keywords\":\"thematic maps, personalization, information search\",\"location\":\"Bratislava, Slovakia\",\"series\":\"UMAP '17\",\"bibtex\":\"@inproceedings{Mauro:2017c,\\r\\nauthor = {Mauro, Noemi and Ardissono, Liliana},\\r\\ntitle = {Thematic Maps for Geographical Information Search},\\r\\nyear = {2017},\\r\\nisbn = {9781450350679},\\r\\npublisher = {Association for Computing Machinery},\\r\\naddress = {New York, NY, USA},\\r\\nurl_Link = {https://doi.org/10.1145/3099023.3099087},\\r\\nurl_Paper = {2017_PATCH_Thematic_Maps.pdf},\\r\\ndoi = {10.1145/3099023.3099087},\\r\\nabstract = {The exploration of cultural heritage information is challenged by the fact that most data provided by online resources is fragmented and it is repository or application-centered. In order to address this issue, a data integration approach should be adopted, that makes it possible to generate custom views, focused on the user's information needs, but easily extensible to support the inspection of topically related contents.In this paper, we present a model supporting the management of thematic maps for information exploration, and their integration with query expansion during the interaction with the user. Our model is based on: (i) an ontological domain knowledge representation for describing the meaning of concepts and their semantic relations; (ii) a semantic interpretation model for identifying the concepts referenced in the user's queries. We are experimenting our model in the OnToMap Participatory GIS, which manages interactive community maps for information sharing and participatory decision-making.},\\r\\nbooktitle = {Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization},\\r\\npages = {337–342},\\r\\nnumpages = {6},\\r\\nkeywords = {thematic maps, personalization, information search},\\r\\nlocation = {Bratislava, Slovakia},\\r\\nseries = {UMAP '17}\\r\\n}\\r\\n\\r\\n\\r\\n\\r\\n\",\"author_short\":[\"Mauro, N.\",\"Ardissono, L.\"],\"key\":\"Mauro:2017c\",\"id\":\"Mauro:2017c\",\"bibbaseid\":\"mauro-ardissono-thematicmapsforgeographicalinformationsearch-2017\",\"role\":\"author\",\"urls\":{\" link\":\"https://doi.org/10.1145/3099023.3099087\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2017_PATCH_Thematic_Maps.pdf\"},\"keyword\":[\"thematic maps\",\"personalization\",\"information search\"],\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Ardissono\"],\"firstnames\":[\"Liliana\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Lucenteforte\"],\"firstnames\":[\"Maurizio\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Mauro\"],\"firstnames\":[\"Noemi\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Savoca\"],\"firstnames\":[\"Adriano\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Voghera\"],\"firstnames\":[\"Angioletta\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"La\",\"Riccia\"],\"firstnames\":[\"Luigi\"],\"suffixes\":[]}],\"title\":\"Semantic Interpretation of Search Queries for Personalization\",\"year\":\"2017\",\"isbn\":\"9781450350679\",\"publisher\":\"Association for Computing Machinery\",\"address\":\"New York, NY, USA\",\"url_link\":\"https://doi.org/10.1145/3099023.3099030\",\"url_paper\":\"2017_UMAP_Poster_Ontomap.pdf\",\"doi\":\"10.1145/3099023.3099030\",\"abstract\":\"This demo paper describes the semantic query interpretation model adopted in the OnToMap Participatory GIS and presents its benefits to information retrieval and personalized information presentation.\",\"booktitle\":\"Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization\",\"pages\":\"101–102\",\"numpages\":\"2\",\"keywords\":\"information search, ontologies, user modeling\",\"location\":\"Bratislava, Slovakia\",\"series\":\"UMAP '17\",\"bibtex\":\"@inproceedings{Ardissono:2017b,\\r\\nauthor = {Ardissono, Liliana and Lucenteforte, Maurizio and Mauro, Noemi and Savoca, Adriano and Voghera, Angioletta and La Riccia, Luigi},\\r\\ntitle = {Semantic Interpretation of Search Queries for Personalization},\\r\\nyear = {2017},\\r\\nisbn = {9781450350679},\\r\\npublisher = {Association for Computing Machinery},\\r\\naddress = {New York, NY, USA},\\r\\nurl_Link = {https://doi.org/10.1145/3099023.3099030},\\r\\nurl_Paper = {2017_UMAP_Poster_Ontomap.pdf},\\r\\ndoi = {10.1145/3099023.3099030},\\r\\nabstract = {This demo paper describes the semantic query interpretation model adopted in the OnToMap Participatory GIS and presents its benefits to information retrieval and personalized information presentation.},\\r\\nbooktitle = {Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization},\\r\\npages = {101–102},\\r\\nnumpages = {2},\\r\\nkeywords = {information search, ontologies, user modeling},\\r\\nlocation = {Bratislava, Slovakia},\\r\\nseries = {UMAP '17}\\r\\n}\\r\\n\\r\\n\\r\\n\",\"author_short\":[\"Ardissono, L.\",\"Lucenteforte, M.\",\"Mauro, N.\",\"Savoca, A.\",\"Voghera, A.\",\"La Riccia, L.\"],\"key\":\"Ardissono:2017b\",\"id\":\"Ardissono:2017b\",\"bibbaseid\":\"ardissono-lucenteforte-mauro-savoca-voghera-lariccia-semanticinterpretationofsearchqueriesforpersonalization-2017\",\"role\":\"author\",\"urls\":{\" link\":\"https://doi.org/10.1145/3099023.3099030\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2017_UMAP_Poster_Ontomap.pdf\"},\"keyword\":[\"information search\",\"ontologies\",\"user modeling\"],\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Mauro\"],\"firstnames\":[\"Noemi\"],\"suffixes\":[]}],\"title\":\"Intelligent and Personalized Community Maps\",\"year\":\"2017\",\"isbn\":\"9781450348935\",\"publisher\":\"Association for Computing Machinery\",\"address\":\"New York, NY, USA\",\"url_link\":\"https://doi.org/10.1145/3030024.3038282\",\"url_paper\":\"2017_IUI_DC.pdf\",\"doi\":\"10.1145/3030024.3038282\",\"abstract\":\"My PhD project focuses on Participatory GIS (PGIS). In the project I analyze two methodologies to offer personalized search results in community maps and a natural interaction with the system. The first consists of automatically gathering the terms according to which the users express their information needs, in order to enrich the domain conceptualization of a PGIS, giving common definitions for places. The second concerns the creation of ontology-based user models that reflect the interests, lexicon and modality of expression adopted by each person, mapped to the domain ontology adopted by the PGIS. In the project I also analyze how these techniques may be jointly used during the query expansion process to retrieve more accurate and relevant search results.\",\"booktitle\":\"Proceedings of the 22nd International Conference on Intelligent User Interfaces Companion\",\"pages\":\"181–184\",\"numpages\":\"4\",\"keywords\":\"linked data, semantic search, ontologies, personalization, ontology-based user model, participatory GIS\",\"location\":\"Limassol, Cyprus\",\"series\":\"IUI '17 Companion\",\"bibtex\":\"@inproceedings{Mauro:2017d,\\r\\nauthor = {Mauro, Noemi},\\r\\ntitle = {Intelligent and Personalized Community Maps},\\r\\nyear = {2017},\\r\\nisbn = {9781450348935},\\r\\npublisher = {Association for Computing Machinery},\\r\\naddress = {New York, NY, USA},\\r\\nurl_Link = {https://doi.org/10.1145/3030024.3038282},\\r\\nurl_Paper = {2017_IUI_DC.pdf},\\r\\ndoi = {10.1145/3030024.3038282},\\r\\nabstract = {My PhD project focuses on Participatory GIS (PGIS). In the project I analyze two methodologies to offer personalized search results in community maps and a natural interaction with the system. The first consists of automatically gathering the terms according to which the users express their information needs, in order to enrich the domain conceptualization of a PGIS, giving common definitions for places. The second concerns the creation of ontology-based user models that reflect the interests, lexicon and modality of expression adopted by each person, mapped to the domain ontology adopted by the PGIS. In the project I also analyze how these techniques may be jointly used during the query expansion process to retrieve more accurate and relevant search results.},\\r\\nbooktitle = {Proceedings of the 22nd International Conference on Intelligent User Interfaces Companion},\\r\\npages = {181–184},\\r\\nnumpages = {4},\\r\\nkeywords = {linked data, semantic search, ontologies, personalization, ontology-based user model, participatory GIS},\\r\\nlocation = {Limassol, Cyprus},\\r\\nseries = {IUI '17 Companion}\\r\\n}\\r\\n\\r\\n\\r\\n\",\"author_short\":[\"Mauro, N.\"],\"key\":\"Mauro:2017d\",\"id\":\"Mauro:2017d\",\"bibbaseid\":\"mauro-intelligentandpersonalizedcommunitymaps-2017\",\"role\":\"author\",\"urls\":{\" link\":\"https://doi.org/10.1145/3030024.3038282\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2017_IUI_DC.pdf\"},\"keyword\":[\"linked data\",\"semantic search\",\"ontologies\",\"personalization\",\"ontology-based user model\",\"participatory GIS\"],\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Ardissono\"],\"firstnames\":[\"Liliana\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Mauro\"],\"firstnames\":[\"Noemi\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Savoca\"],\"firstnames\":[\"Adriano\"],\"suffixes\":[]}],\"title\":\"Supporting Knowledge Sharing and Learning via Semantic Geographical Maps\",\"year\":\"2017\",\"isbn\":\"9781450349048\",\"publisher\":\"Association for Computing Machinery\",\"address\":\"New York, NY, USA\",\"url_link\":\"https://doi.org/10.1145/3038535.3038537\",\"url_paper\":\"2017_SMART_LEARN.pdf\",\"doi\":\"10.1145/3038535.3038537\",\"abstract\":\"Map-based applications are a good starting point for helping teachers in the preparation of learning material and students in their researches in social sciences. However, they offer basic information filtering support to the generation of dynamic maps. In this paper, we investigate the adoption of semantic knowledge representation and cooperative work approaches for managing thematic maps in group-based learning activities. Moreover, we present a possible solution, based on the OnToMap Participatory GIS, which uses an ontological representation of geographical information to support multi-faceted information retrieval, crowdsourcing, and map creation.\",\"booktitle\":\"Proceedings of the 2017 ACM Workshop on Intelligent Interfaces for Ubiquitous and Smart Learning\",\"pages\":\"3–6\",\"numpages\":\"4\",\"keywords\":\"ontologies, participatory gis, collaborative information sharing, interactive geographical maps for learning\",\"location\":\"Limassol, Cyprus\",\"series\":\"SmartLearn '17\",\"bibtex\":\"@inproceedings{Ardissono:2017,\\r\\nauthor = {Ardissono, Liliana and Mauro, Noemi and Savoca, Adriano},\\r\\ntitle = {Supporting Knowledge Sharing and Learning via Semantic Geographical Maps},\\r\\nyear = {2017},\\r\\nisbn = {9781450349048},\\r\\npublisher = {Association for Computing Machinery},\\r\\naddress = {New York, NY, USA},\\r\\nurl_Link = {https://doi.org/10.1145/3038535.3038537},\\r\\nurl_Paper = {2017_SMART_LEARN.pdf},\\r\\ndoi = {10.1145/3038535.3038537},\\r\\nabstract = {Map-based applications are a good starting point for helping teachers in the preparation of learning material and students in their researches in social sciences. However, they offer basic information filtering support to the generation of dynamic maps. In this paper, we investigate the adoption of semantic knowledge representation and cooperative work approaches for managing thematic maps in group-based learning activities. Moreover, we present a possible solution, based on the OnToMap Participatory GIS, which uses an ontological representation of geographical information to support multi-faceted information retrieval, crowdsourcing, and map creation.},\\r\\nbooktitle = {Proceedings of the 2017 ACM Workshop on Intelligent Interfaces for Ubiquitous and Smart Learning},\\r\\npages = {3–6},\\r\\nnumpages = {4},\\r\\nkeywords = {ontologies, participatory gis, collaborative information sharing, interactive geographical maps for learning},\\r\\nlocation = {Limassol, Cyprus},\\r\\nseries = {SmartLearn '17}\\r\\n}\\r\\n\\r\\n\\r\\n\",\"author_short\":[\"Ardissono, L.\",\"Mauro, N.\",\"Savoca, A.\"],\"key\":\"Ardissono:2017\",\"id\":\"Ardissono:2017\",\"bibbaseid\":\"ardissono-mauro-savoca-supportingknowledgesharingandlearningviasemanticgeographicalmaps-2017\",\"role\":\"author\",\"urls\":{\" link\":\"https://doi.org/10.1145/3038535.3038537\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2017_SMART_LEARN.pdf\"},\"keyword\":[\"ontologies\",\"participatory gis\",\"collaborative information sharing\",\"interactive geographical maps for learning\"],\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Ardissono\"],\"firstnames\":[\"Liliana\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Lucenteforte\"],\"firstnames\":[\"Maurizio\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Mauro\"],\"firstnames\":[\"Noemi\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Savoca\"],\"firstnames\":[\"Adriano\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Voghera\"],\"firstnames\":[\"Angioletta\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"La\",\"Riccia\"],\"firstnames\":[\"Luigi\"],\"suffixes\":[]}],\"title\":\"Exploration of Cultural Heritage Information via Textual Search Queries\",\"year\":\"2016\",\"isbn\":\"9781450344135\",\"publisher\":\"Association for Computing Machinery\",\"address\":\"New York, NY, USA\",\"url_link\":\"https://doi.org/10.1145/2957265.2962648\",\"url_paper\":\"2016_MOBILEHCI.pdf\",\"doi\":\"10.1145/2957265.2962648\",\"abstract\":\"Searching information in a Geographical Information System (GIS) usually imposes that users explore precompiled category catalogs and select the types of information they are looking for. Unfortunately, that approach is challenging because it forces people to adhere to a conceptualization of the information space that might be different from their own. In order to address this issue, we propose to support textual search as the basic interaction model, exploiting linguistic information, together with category exploration, for query interpretation and expansion. This paper describes our model and its adoption in the OnToMap Participatory GIS.\",\"booktitle\":\"Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct\",\"pages\":\"992–1001\",\"numpages\":\"10\",\"keywords\":\"community maps, GIS, text-based information search\",\"location\":\"Florence, Italy\",\"series\":\"MobileHCI '16\",\"bibtex\":\"@inproceedings{Ardissono:2016,\\r\\nauthor = {Ardissono, Liliana and Lucenteforte, Maurizio and Mauro, Noemi and Savoca, Adriano and Voghera, Angioletta and La Riccia, Luigi},\\r\\ntitle = {Exploration of Cultural Heritage Information via Textual Search Queries},\\r\\nyear = {2016},\\r\\nisbn = {9781450344135},\\r\\npublisher = {Association for Computing Machinery},\\r\\naddress = {New York, NY, USA},\\r\\nurl_Link = {https://doi.org/10.1145/2957265.2962648},\\r\\nurl_Paper = {2016_MOBILEHCI.pdf},\\r\\ndoi = {10.1145/2957265.2962648},\\r\\nabstract = {Searching information in a Geographical Information System (GIS) usually imposes that users explore precompiled category catalogs and select the types of information they are looking for. Unfortunately, that approach is challenging because it forces people to adhere to a conceptualization of the information space that might be different from their own. In order to address this issue, we propose to support textual search as the basic interaction model, exploiting linguistic information, together with category exploration, for query interpretation and expansion. This paper describes our model and its adoption in the OnToMap Participatory GIS.},\\r\\nbooktitle = {Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct},\\r\\npages = {992–1001},\\r\\nnumpages = {10},\\r\\nkeywords = {community maps, GIS, text-based information search},\\r\\nlocation = {Florence, Italy},\\r\\nseries = {MobileHCI '16}\\r\\n}\\r\\n\",\"author_short\":[\"Ardissono, L.\",\"Lucenteforte, M.\",\"Mauro, N.\",\"Savoca, A.\",\"Voghera, A.\",\"La Riccia, L.\"],\"key\":\"Ardissono:2016\",\"id\":\"Ardissono:2016\",\"bibbaseid\":\"ardissono-lucenteforte-mauro-savoca-voghera-lariccia-explorationofculturalheritageinformationviatextualsearchqueries-2016\",\"role\":\"author\",\"urls\":{\" link\":\"https://doi.org/10.1145/2957265.2962648\",\" paper\":\"http://www.di.unito.it/~mauro/publications/2016_MOBILEHCI.pdf\"},\"keyword\":[\"community maps\",\"GIS\",\"text-based information search\"],\"metadata\":{\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\"html\":\"\"}],\n      metadata: {\"owner\":\"mauro, n\",\"authorlinks\":{\"mauro, n\":\"https://noemi-mauro.github.io/\"}},\n      ownerID: \"XDDdrpGJYkzktFSFr\"\n    };\n  </script>\n\n  <script type=\"text/javascript\">\n  var site$;\n  if (typeof $ != 'undefined') {\n    console.log('existing jquery: storing and then restoring');\n    site$ = $;\n    $ = null;\n  }\n  </script>\n\n  <script src=\"https://ajax.googleapis.com/ajax/libs/jquery/2.2.4/jquery.min.js\">\n  </script>\n  <script type=\"text/javascript\">\n  if (site$) {\n    console.log('existing jquery: avoiding conflict and restoring');\n    bb$ = $.noConflict(true);\n    $ = site$;\n  } else {\n    bb$ = $;\n  }\n  </script>\n\n  <script src=\"//bibbase.org/js/bibbase.min.js\"\n          type=\"text/javascript\">\n  </script>\n\n  <script type=\"text/javascript\"\n          src=\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.1/MathJax.js?config=TeX-AMS-MML_HTMLorMML\">\n  </script>\n  <script type=\"text/x-mathjax-config\">\n    MathJax.Hub.Config({tex2jax: {inlineMath: [['$','$'], ['\\\\(','\\\\)']]},\n                        skipTags: [\"body\"],\n                        processClass: \"bibbase_paper\"});\n  </script>\n\n  <style>\n  @media print {\n    .dontprint {\n        display: none !important;\n    }\n\n  .bibbase_group {\n    background-color: #E0E0E0;\n    font-style: italic;\n    font-size: larger;\n    text-shadow: 0px 0px 3px #FFFFFF;\n    border-radius: 4px 4px 4px 4px;\n    -moz-border-radius: 4px 4px 4px 4px;\n    -webkit-border-radius: 4px;\n    padding: 5px 40px 5px;\n    margin-top: 10px;\n    margin-bottom: 5px;\n    cursor: pointer;\n  }\n\n  .bibbase_paper {\n    margin-bottom: 5px;\n  }\n\n  }\n  </style>\n\n  \n  <div style=\"float: right; margin-right: 10px; margin-top: 10px; text-align: right; font-size: 12px\">\n    generated by\n    <a href=\"//bibbase.org\"\n       onclick=\"trackOutboundLink('bibbase', 'logo clicked', window.location.href, '//bibbase.org'); return false;\">\n      <img src=\"//bibbase.org/img/logo.svg\"\n           style=\"vertical-align: middle; margin-left: 3px; height: 16px;\"/\n           alt=\"bibbase.org\"\n           title=\"BibBase – The easiest way to maintain your publications page.\"\n        ></a>\n    \n  </div>\n  \n\n  <div id=\"bibbase_header\" class=\"dontprint\" style=\"\">\n\n    <ul class=\"nav nav-pills\" style=\"margin: 0px;\">\n\n      <li class=\"dropdown\" id=\"groupby_dropdown\">\n      <a class=\"dropdown-toggle\"\n         data-toggle=\"dropdown\"\n         href=\"#\">\n          Group by\n          <b class=\"caret\"></b>\n      </a>\n      <ul class=\"dropdown-menu\">\n        <li class=\"groupby year\"><a onclick=\"groupby('year')\">\n            Year</a>\n        </li>\n        <li class=\"groupby author\"><a onclick=\"groupby('author_short')\">\n            Author</a>\n        </li>\n        <li class=\"groupby type\"><a onclick=\"groupby('type')\">\n            Type</a>\n        </li>\n        <li class=\"groupby keyword\"><a onclick=\"groupby('keyword')\">\n            Keyword</a>\n        </li>\n        <li class=\"groupby downloads\"><a onclick=\"groupby('downloads')\">\n            Downloads</a>\n        </li>\n      </ul>\n      </li>\n\n\n      <li class=\"dropdown\" id=\"menu_dropdown\">\n      <a class=\"dropdown-toggle\"\n         data-toggle=\"dropdown\"\n         href=\"#\" alt=\"controls\">\n          <i class=\"fa fa-reorder\" alt=\"controls\"></i>\n          <b class=\"caret\"></b>\n      </a>\n      <ul class=\"dropdown-menu\">\n        <li>\n          <a onclick=\"toggleAll()\">\n            <i class=\"fa fa-chevron-down fa-fw\"></i> Expand/Collapse All\n          </a>\n        </li>\n        <li>\n          <a download=\"publications.bib\" href=\"data:text/bibtex;base64,@article{Geninatti-etal:24,
  author={Cossatin, Angelo Geninatti and Mauro, Noemi and Ardissono, Liliana},
  journal={IEEE Access}, 
  title={Promoting Green Fashion Consumption Through Digital Nudges in Recommender Systems}, 
  year={2024},
  volume={12},
  number={},
  pages={6812-6829},
  keywords={Green products;Image color analysis;Standards;Ethics;Sustainable development;Recommender systems;Clothing industry;Digital nudging;recommender systems;sustainable fashion consumption},
  abstract={The fashion industry accounts for a relevant portion of the environmental impact of EU consumption. Moreover, the expansion of fast fashion raises further concerns about the well-being of the people and animals involved in its production. Increasing the purchase of green clothes (i.e., sustainable garments that have been produced by brands conforming to good ethical standards) is thus key to the reduction of fashion’s environmental and social footprint. In this paper, we investigate digital nudges to promote the selection of green clothes in online catalogs. For this purpose, we propose a recommender system that combines the personalized suggestion of new and second-hand garments with the presentation of sustainability and ethical standards data to favor item comparison and support responsible selection decisions. This is different from standard recommender systems, which suggest homogeneous products, either new or second-hand. Moreover, it is challenged by the tendency to buy new products observed in the literature about clothing consumption. In a user study involving 251 participants, we found that enhancing clothes recommendations with 1) sentences that promote second-hand garments and 2) visual labels that summarize items’ sustainability and brands’ ethical standards, sensibly reduced this tendency. Moreover, it induced some people to take the sustainability of products into account in their selection decisions. However, participants’ interest in brands’ ethical standards seemed to be secondary, especially regarding respect for animals. This finding reveals a need to enhance people’s awareness and sensitivity on this topic. Even though more work is needed to increase green, and especially ethical fashion consumption, our findings suggest the adoption of nudges in clothes recommender systems to enhance user awareness about items, their sustainability, and their social impact.},
  doi={10.1109/ACCESS.2024.3349710},
  url_Link = {https://ieeexplore.ieee.org/abstract/document/10380588},
  url_Paper = {2024_IEEE_Fashion.pdf},
} 



@article{Mauro-etal:23b,  
title={An Intelligent Support System to Help Teachers Plan Field Trips},
author={Mauro, Noemi and Ardissono, Liliana and Cena, Federica
and Scarpinati, Livio and Torta, Gianluca},
journal={International Journal of Artificial Intelligence in Education},
pages={1--32},
year={2023},
publisher={Springer},
doi={10.1007/s40593-023-00366-x},
abstract={Field trips enrich learning programs with out-of-school activities that can bring gains in students’ academic content knowledge and personal growth. However, they are a source of anxiety for teachers because of the bureaucracy, pedagogy, etc., risks they imply. To address this issue, we propose FieldTripOrganizer, a field trip planner based on the mixed-initiative approach aimed at increasing teachers’ autonomy and motivation in designing educational tours. The key aspects of our application are (i) the simultaneous provision of information filtering and automated scheduling support while the user designs the field trip, and (ii) the visual annotation of places and activities to show whether they can be included in the itinerary without violating its time constraints. Different from current tour planners, these functions enable the user to be in full control of the design process, delegating the system to manage difficult and burdensome tasks such as consistency checks and itinerary optimization. We evaluated FieldTripOrganizer in the use case of organizing a science field trip. In a preliminary user study involving 18 science teachers, our application turned up to be superior to a baseline tour planner in both usability and user experience. Moreover, the teachers declared that it was helpful, motivated them, and reduced their anxiety during the design of the field trips.},
url_Link = {https://link.springer.com/article/10.1007/s40593-023-00366-x},
url_Paper = {2023_IJAIE_Teachers.pdf},
}



@article{Mauro-etal:23c,  
title={Justification of Recommender Systems Results: a Service-based Approach},
author={Mauro, Noemi and Hu, Zhongli Filippo and Ardissono, Liliana},
journal={User Modeling and User-Adapted Interaction},
pages={643–685},
year={2023},
issue={33},
publisher={Springer},
doi={10.1007/s11257-022-09345-8},
abstract={With the increasing demand for predictable and accountable Artificial Intelligence, the ability to explain or justify recommender systems results by specifying how items are suggested, or why they are relevant, has become a primary goal. However, current models do not explicitly represent the services and actors that the user might encounter during the overall interaction with an item, from its selection to its usage. Thus, they cannot assess their impact on the user’s experience. To address this issue, we propose a novel justification approach that uses service models to (i) extract experience data from reviews concerning all the stages of interaction with items, at different granularity levels, and (ii) organize the justification of recommendations around those stages. In a user study, we compared our approach with baselines reflecting the state of the art in the justification of recommender systems results. The participants evaluated the Perceived User Awareness Support provided by our service-based justification models higher than the one offered by the baselines. Moreover, our models received higher Interface Adequacy and Satisfaction evaluations by users having different levels of Curiosity or low Need for Cognition (NfC). Differently, high NfC participants preferred a direct inspection of item reviews. These findings encourage the adoption of service models to justify recommender systems results but suggest the investigation of personalization strategies to suit diverse interaction needs.},
url_Link = {https://link.springer.com/article/10.1007/s11257-022-09345-8},
url_Paper = {2023_UMUAI_Justification.pdf},
}



@article{Cena-etal:23,  
title={How Do Sensory Features of Places Impact on Spatial Exploration of People with Autism? A User Study},
author={Cena, Federica and Mauro, Noemi and Rapp, Amon},
journal={Information Technology & Tourism},
pages={1--28},
year={2023},
publisher={Springer},
doi={10.1007/s40558-023-00244-1},
abstract={Autism is characterized by peculiar sensory processing. The sensory features of a place may have a crucial impact on the decision a person with autism makes when choosing what to visit in a tourist experience. We present a map-based mobile app, conceived for people with mid to high-functioning autism, which exploits sensory features of places to filter the information displayed and suggest locations that may be suitable for their idiosyncratic needs. The mobile app also exploits the crowdmapping paradigm in order to gather these features from the community of users, since they are not publicly available. We describe the results of a composite user evaluation of the app, made up of a task experiment, a field study, and an online questionnaire, which aims to understand (i) whether the explicit presentation of sensory information impacts the decision of going to a specific place, (ii) if the crowdmapping functionality is used and how and (iii) how people with autism navigate the mobile app. The results confirm the importance of the sensory features for people with autism in the decision to go to a specific place. Moreover, they show that crowdmapping may be a good solution to collect such features, but should be integrated with other methods. Finally, the results show that the preferred modality of exploring information about places is by using the map.},
url_Link = {https://link.springer.com/article/10.1007/s40558-023-00244-1},
url_Paper = {2023_ITT_Autism.pdf},
}



@INPROCEEDINGS{Geninatti:23,
  author={Cossatin, Angelo Geninatti and Mauro, Noemi and Ardissono, Liliana},
  booktitle={2023 IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)}, 
  title={Enriching Recommender Systems Results with Data about Sustainability and Ethical Standards of Brands}, 
  year={2023},
  volume={},
  number={},
  pages={238-242},
  keywords={Ethics;Green products;User interfaces;Behavioral sciences;Synchronization;Intelligent agents;Sustainable development;multi-list user interfaces;sustainability;fashion;human-centric computing and services},
  abstract={In recommender systems research, not only user preferences but also the sustainability and ethical standards of the services underlying item fruition should be considered to promote virtuous selection decisions. We analyze user interfaces that guide item comparison taking these evaluation criteria into account and we test a synchronized multi-list aimed at raising users' awareness about items by enabling them to (i) sort items according to different evaluation criteria, and (ii) simultaneously view the overall evaluation of an item and its ranking in each criterion. A user study in the fashion domain has shown that the presentation of data about environmental sustainability and ethical standards induces virtuous selection behavior and that participants are more confident in their selections when using our synchronized multi-list user interface than with single-lists.},
  doi={10.1109/WI-IAT59888.2023.00037},
  url_Link = {https://ieeexplore.ieee.org/abstract/document/10350100},
  url_Paper = {2023_WI_Fashion.pdf},
  }



@INPROCEEDINGS{Hu-etal:23,
  author={Filippo Hu, Zhongli and Mauro, Noemi and Ardissono, Liliana},
  booktitle={2023 IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)}, 
  title={Image-Based Information Filtering to Compare and Select Items}, 
  year={2023},
  volume={},
  number={},
  pages={1-8},
  keywords={Visualization;Image recognition;Focusing;User interfaces;Metadata;Information filters;Information filtering;review-based recommender systems;information filtering;human-centric computing and services},
  doi={10.1109/WI-IAT59888.2023.00007},
  abstract={Current recommender systems overlook the role of images in conveying information about items, focusing on metadata, ratings, and reviews for the generation and presentation of the suggestion lists. However, images describe different aspects of an item, which might be used to steer its presentation to satisfy specific information needs. We propose two user interfaces for image-based information filtering that support item exploration and comparison by analyzing the scenes described by the images, or the objects recognized in them. In a user test in the home-booking domain, we found that participants preferred scene-based information filtering to object-based and traditional visualization of items and reviews in product catalogs.},
  url_Link = {https://ieeexplore.ieee.org/abstract/document/10350174},
  url_Paper = {2023_WI_Airbnb.pdf},
  }



@inproceedings{Hu-etal:23b,
author = {Hu, Zhongli Filippo and Mauro, Noemi and Petrone, Giovanna and Ardissono, Liliana},
title = {Service-based Presentation of Multimodal Information for the Justification of Recommender Systems Results},
year = {2023},
isbn = {9781450399326},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
doi = {10.1145/3565472.3592962},
abstract = {The current models for the explanation and justification of recommender systems results focus on qualitative and quantitative data about items, overlooking the power of images to describe the different aspects of experience that the consumer should expect from their selection to post-sales. In the present paper, we extend previous justification models by exploiting object recognition on images to support a service-oriented presentation of multimodal (textual, quantitative, and images) information about items. As a testbed for our model, we chose the home-booking domain. In a user study, we found that item comparison can be enhanced by empowering the user to filter multimodal data based on a set of evaluation dimensions describing the experience with items. These results encourage the introduction of service-based filters for multimodal information retrieval in product and service catalogs.},
booktitle = {Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization},
pages = {46–53},
numpages = {8},
keywords = {Images, Justification of Recommender Systems Results, Service Models},
location = {Limassol, Cyprus},
series = {UMAP '23},
url_Link = {https://dl.acm.org/doi/abs/10.1145/3565472.3592962},
url_Paper = {2023_UMAP_Airbnb.pdf},
}



@inproceedings{Ardissono-23,
author = {Ardissono, Liliana and Bona, Francesca and Concilio, Carmelina and Cravero, Ester and Ferraris, Stefano and Ferrero, Fabio and Geninatti Cossatin, Angelo and Giardino, Marco and Magnano, Guido and Mattutino, Claudio and Mauro, Noemi},
title = {Demo: the Triangolazioni Mobile Guide for Exploring the Interconnections between Science, Art and Territory},
year = {2023},
isbn = {9798400708060},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3605390.3610808},
doi = {10.1145/3605390.3610808},
abstract = {Most Cultural Heritage sites are immersed in parallel and interlaced stories about art, history, and science, which are typically presented as isolated narratives, providing a partial view of the richness of such places. To address this issue, the Triangolazioni project of the University of Torino has developed a mobile app that enables the customer to gain an overall view of these stories, and their interconnections, by hopping from one to the other, depending on her/his information interests. This demo paper presents the Triangolazioni mobile guide, which supports the thematic exploration of Points of Interest through the navigation, and the exploration of narratives based on their thematic similarity as well as on the Points of Interest they talk about.},
booktitle = {Proceedings of the 15th Biannual Conference of the Italian SIGCHI Chapter},
articleno = {51},
numpages = {4},
keywords = {Cultural Heritage, location-based hypertext, mobile guides},
series = {CHItaly '23},
url_Link = {https://dl.acm.org/doi/abs/10.1145/3605390.3610808},
url_Paper = {2023_CHITALY_Triangolazioni.pdf},
}




@inproceedings{Mauro:23b,
  author = {Noemi Mauro and Zhongli Filippo Hu and Giovanna Petrone and Marino Segnan and Claudio Mattutino},
  title = {Impact of Users’ Cultural Background on Multi-faceted Trust-based Recommender Systems},
  year = {2023},
  booktitle = {Joint Proceedings of the ACM IUI 2023 Workshops - Workshop on Social and Cultural Interaction with Personalized Interfaces (SOCIALIZE)},
  series    = {{CEUR} Workshop Proceedings},
  volume    = {3359},
  publisher = {CEUR-WS.org},
  url_Link       = {https://ceur-ws.org/Vol-3359/paper32.pdf},
  url_Paper = {2023_SOCIALIZE_Trust.pdf},
  doi       = {https://ceur-ws.org/Vol-3359/paper32.pdf},
  keywords = {Multi-faceted Reputation Model, Trust-based Recommender Systems, Social Relations, Cultural Background of Users, Web
searching and information discovery, Recommender systems},
  abstract = {Trust-based recommender systems usually overlook the cultural background of people when making suggestions. In this
paper, we propose some strategies to include the home country of users in trust-based recommendation algorithms and we
aim to understand if this information can improve the recommender system performance.
}
}




@inproceedings{Geninatti-23c,
author = {Geninatti Cossatin, Angelo and Mauro, Noemi and Izzi, Gianmarco and Ardissono, Liliana},
title = {Synchronized Multi-list User Interfaces for Fashion Catalogs},
year = {2023},
isbn = {9781450398916},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
doi = {10.1145/3563359.3597382},
abstract = {Several online catalogs use carousels to present thematic lists of products, based on different optimization criteria. While this makes it possible to search for items according to diverse relevance perspectives, it hardly supports an integrated evaluation, which is key to critical consuming behavior. To address this issue, we propose a synchronized multi-list model that (i) enriches item presentation by visualizing its evaluation and (ii) enables the user to simultaneously center the carousels of the multi-list on the item in her/his focus of attention, showing its ranking in each list. This type of visualization is aimed at enhancing the transparency of results by enabling the user to simultaneously compare products across all the evaluation criteria applied within the multi-list. As a testbed for our model, we selected fashion catalogs, with the aim of making users aware of clothes’ evaluation with respect to the sustainability and ethical issues concerning the production practices applied by their brands. In a preliminary user study, we analyzed users’ gaze behavior to reveal how people interact with the carousels of the multi-list for product comparison. The results show that people explored the position of items in all the carousels, following a pattern that differs from the top-left triangle observed in traditional multi-lists, and they selected items having a fairly good ranking, showing their interest in sustainability and ethical standards.},
booktitle = {Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization},
pages = {224–228},
numpages = {5},
keywords = {Environmental Sustainability, Ethics, Recommender Systems, Transparent User Interfaces},
location = {Limassol, Cyprus},
series = {UMAP '23 Adjunct},
  url_Link = {https://dl.acm.org/doi/abs/10.1145/3563359.3597382},
  url_Paper = {2023_EXUM_Sustainability.pdf},
}



@inproceedings{Cena-etal:23b,
author = {Cena, Federica and Mauro, Noemi and Ardissono, Liliana and Ferrero, Fabio and Ferrigno, Serena and Rapp, Amon and Mattutino, Claudio and Keller, Roberto},
title = {CARES: an Inclusive Personalized Touristic System for Autism},
year = {2023},
isbn = {9781450398916},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
doi = {10.1145/3563359.3596665},
abstract = {People have different interests and cognitive capabilities that should be taken into account when developing technological support for cultural heritage exploration. In this project, we aim to help people with autism to plan a tourist trip by taking into account their interests and their cognitive skills. We plan to personalize the suggestion of touristic places and itineraries taking into account different types of constraints such as temporal and physical ones. Moreover, we aim to adapt the user interface of the system on the basis of the users’ capabilities to deliver the right information, using a proper visualization modality, avoiding information overload. In this way, people will be able to know in advance the plan for the trip and this would reduce their level of stress and anxiety. In this paper, we focus on the first stage of the project, i.e. the qualitative interviews we carried out together with the user requirements for our application.},
booktitle = {Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization},
pages = {363–366},
numpages = {4},
keywords = {Accessible Tourism, Autism, Mobile Guide},
location = {Limassol, Cyprus},
series = {UMAP '23 Adjunct},
  url_Link = {https://dl.acm.org/doi/abs/10.1145/3563359.3596665},
  url_Paper = {2023_PATCH_CARES.pdf},
}



@inproceedings{Ardissono-etal:23c,
author = {Ardissono, Liliana and Cena, Federica and Mauro, Noemi and Palomba, Mauro and Parizia, Francesco and Perotti, Luigi and Scarpinati, Livio and Torta, Gianluca},
title = {A Mobile App Supporting Field Trip Organization for Natural and Cultural Heritage Exploration},
year = {2023},
isbn = {9781450398916},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
doi = {10.1145/3563359.3596669},
abstract = {Mobile tourist guides have great potential to promote Cultural and Natural Heritage but usually do this from a narrow perspective, such as a single exhibition or museum, failing to provide users with an integrated viewpoint of the resources available in a geographical area. The organization of tourist plans might thus be challenging because of the many information sources to be consulted. Current tourist guides also limit users’ freedom in building custom trips because they almost fully control the itinerary generation process. Moreover, they fail to recognize that cultural and scientific tours might include both the visit to places and the execution of activities aimed at deepening people’s experience through experimental work. This is a limitation, especially for the learning field, which recognizes the importance of practical activities in strengthening students’ knowledge and understanding. To address this issue, we developed the FieldTripOrganizer application as a model to create mobile tourist guides that support the design of plans suitable for cultural/scientific tourism. FieldTripOrganizer empowers users to design a trip by helping them select Points of Interest and activities that are relevant to the interests and knowledge background of the people who will participate in the tour. Moreover, it simultaneously provides information filtering, automated scheduling, and user-awareness support to let users compose the itinerary from scratch while being informed about the feasibility of the options that can be included without violating its time constraints. We exploited FieldTripOrganizer to present the Cultural and Natural resources provided by the Geodidalab scientific laboratory located in the area of Ivrea (Piedmont, Italy).},
booktitle = {Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization},
pages = {355–362},
numpages = {8},
keywords = {Natural Heritage, Field Trip Organization, Cultural Heritage},
location = {Limassol, Cyprus},
series = {UMAP '23 Adjunct},
  url_Link = {https://dl.acm.org/doi/abs/10.1145/3563359.3596669},
  url_Paper = {2023_PATCH_Openalplab.pdf},
}



@inproceedings{Ardissono-etal:23b,
author = {Ardissono, Liliana and Mauro, Noemi and Petrelli, Daniela and Raptis, George E. and Wecker, Alan},
title = {14th International Workshop on Personalized Access to Cultural Heritage (PATCH 2023)},
year = {2023},
isbn = {9781450398916},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
doi = {10.1145/3563359.3595622},
abstract = {Following the successful series of PATCH workshops, PATCH 2023 will again be the meeting point between state-of-the-art cultural heritage (CH) research and personalization research, focused on those using different types of technology, with emphasis on ubiquitous and adaptive scenarios, to enhance the personal experience in CH sites. The workshop is aimed at bringing together researchers and practitioners who are working on various aspects of cultural heritage and are interested in exploring the potential of state-of-the-art mobile and personalized technology (onsite as well as online) to enhance the CH visiting experience. The expected result of the workshop is a multidisciplinary research agenda that will inform future research directions and, hopefully, forge some research collaborations. This summary provides an overview of the papers that have been accepted for presentation at the workshop and for publication in its proceedings.},
booktitle = {Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization},
pages = {352–354},
numpages = {3},
keywords = {User Modeling., Personalization, Cultural Heritage},
location = {Limassol, Cyprus},
series = {UMAP '23 Adjunct},
  url_Link = {https://dl.acm.org/doi/abs/10.1145/3563359.3595622},
  url_Paper = {2023_PATCH_Workshop_Summary.pdf},
}




@article{Mauro-etal:22b,  
title = {Using Consumer Feedback from Location-based Services in PoI Recommender Systems for People with Autism},
journal = {Expert Systems with Applications},
volume = {199},
pages = {116972},
year = {2022},
issn = {0957-4174},
doi = {10.1016/j.eswa.2022.116972},
author = {Noemi Mauro and Liliana Ardissono and Stefano Cocomazzi and Federica Cena},
keywords = {Sensory features from reviews, Autism, Recommender systems},
abstract = {When suggesting Points of Interest (PoIs) to people with autism spectrum disorders, we must take into account that they have idiosyncratic sensory aversions to noise, brightness and other features that influence the way they perceive places. Therefore, recommender systems must deal with these aspects. However, the retrieval of sensory data about PoIs is a real challenge because most geographical information servers fail to provide this data. Moreover, ad-hoc crowdsourcing campaigns do not guarantee to cover large geographical areas and lack sustainability. Thus, we investigate the extraction of sensory data about places from the consumer feedback collected by location-based services, on which people spontaneously post reviews from all over the world. Specifically, we propose a model for the extraction of sensory data from the reviews about PoIs, and its integration in recommender systems to predict item ratings by considering both user preferences and compatibility information. We tested our approach with autistic and neurotypical people by integrating it into diverse recommendation algorithms. For the test, we used a dataset built in a crowdsourcing campaign and another one extracted from TripAdvisor reviews. The results show that the algorithms obtain the highest accuracy and ranking capability when using TripAdvisor data. Moreover, by jointly using these two datasets, the algorithms further improve their performance. These results encourage the use of consumer feedback as a reliable source of information about places in the development of inclusive recommender systems.},
url_Link = {https://www.sciencedirect.com/science/article/abs/pii/S0957417422003980},
url_Paper = {2022_ESWA_Autism.pdf},
}



@article{Mauro-etal:22a,  
author={Mauro, Noemi and Hu, Zhongli Filippo and Ardissono, Liliana},  
journal={IEEE Access},   
title={Service-Aware Personalized Item Recommendation},   
year={2022},  
volume={10},  
number={},  
pages={26715-26729},  
doi={10.1109/ACCESS.2022.3157442},
abstract = {Current recommender systems employ item-centric properties to estimate ratings and present the results to the user. However, recent studies highlight the fact that the stages of item fruition also involve extrinsic factors, such as the interaction with the service provider before, during and after item selection. In other words, a holistic view of consumer experience, including local properties of items, as well as consumers’ perceptions of item fruition, should be adopted to enhance user awareness and decision-making. In this work, we integrate recommender systems with service models to reason about the different stages of item fruition. By exploiting the Service Journey Maps to define service-based item and user profiles, we develop a novel family of recommender systems that evaluate items by taking preference management and overall consumer experience into account. Moreover, we introduce a two-level visual model to provide users with different information about recommendation results: (i) the higher level summarizes consumer experience about items and supports the identification of promising suggestions within a possibly long list of results; (ii) the lower level enables the exploration of detailed data about the local properties of items. In a user test instantiated in the home-booking domain, we compared our models to standard recommender systems. We found that the service-based algorithms that only use item fruition experience excel in ranking and minimize the error in rating estimation. Moreover, the combination of data about item fruition experience and item properties achieves slightly lower recommendation performance; however, it enhances users’ perceptions of the awareness and the decision-making support provided by the system. These results encourage the adoption of service-based models to summarize user preferences and experience in recommender systems.},
url_Link = {https://ieeexplore.ieee.org/abstract/document/9729739},
url_Paper = {2022_IEEE_Access_Service.pdf},
}



@article{Mauro-etal:22,
author = {Mauro, Noemi and Ardissono, Liliana and Cena, Federica},
title = {Supporting People with Autism Spectrum Disorders in the Exploration of PoIs: An Inclusive Recommender System},
year = {2022},
issue_date = {February 2022},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
volume = {65},
number = {2},
issn = {0001-0782},
doi = {10.1145/3505267},
abstract = {The suggestion of Points of Interest (PoIs) to people with autism spectrum disorders challenges the research about recommender systems by introducing an explicit need to consider both user preferences and aversions in item evaluation. The reason is that autistic users' perception of places is influenced by sensory aversions, which can cause stress and anxiety when they visit the suggested PoIs. Therefore, the management of individual preferences is not enough to provide these people with suitable recommendations.To address this issue, we propose a Top-N recommendation model that combines information about the user's idiosyncratic aversions with her/his preferences in a personalized way. The goal is that of suggesting the places that (s)he can like and smoothly experience at the same time. We are interested in finding a user-specific balance of compatibility and interest within a recommendation model that integrates heterogeneous evaluation criteria to appropriately take these aspects into account.We tested our model on 148 adults, 20 of which were people with autism spectrum disorders. The evaluation results show that, on both groups, our model achieves superior accuracy and ranking results than the recommender systems based on item compatibility, on user preferences, or which integrate these aspects using a uniform evaluation model. These findings encourage us to use our model as a basis for the development of inclusive recommender systems.},
journal = {Communications of the ACM},
pages = {101–109},
numpages = {9},
url_Link = {https://dl.acm.org/doi/10.1145/3505267},
url_Paper = {2022_CACM.pdf},
}



@inproceedings{10.1145/3511095.3536366,
author = {Mauro, Noemi and Geninatti Cossatin, Angelo and Cravero, Ester and Ardissono, Liliana and Magnano, Guido and Giardino, Marco},
title = {Exploring Semantically Interlaced Cultural Heritage Narratives},
year = {2022},
isbn = {9781450392334},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
doi = {10.1145/3511095.3536366},
abstract = {While traditional mobile guides propose itineraries underlying the presentation of individual narrations, a broad view of Cultural Heritage should take into account that Points of Interests, historical characters and objects are frequently related in different stories linking art, history and science. Moreover, stories could be associated through their common themes. Thus, a focus on individual narrations is not enough to provide users with a holistic view of the places they visit. In this paper, we investigate the presentation of interlaced Cultural Heritage information to make users aware about the connections among such stories. For this purpose, we propose an exploration model that enables the user to take side walks in semantically-related narrations concerning Points of Interest. This is based on a semantic knowledge representation where two types of relations connect entities within individual stories, and stories through their common themes. Based on this representation, we developed the Triangolazioni mobile guide that presents multimedia information about Cultural Heritage in Torino city. A user study has shown that participants perceived the app, and its ”side walking” support, as highly usable. Moreover, they appreciated the storytelling capabilities of the app.},
booktitle = {Proceedings of the 33rd ACM Conference on Hypertext and Social Media},
pages = {192–197},
numpages = {6},
keywords = {Cultural Heritage, hypertext models, mobile guides},
location = {Barcelona, Spain},
series = {HT '22},
url_Link = {https://doi.org/10.1145/3511095.3536366},
url_Paper = {2022_HT_Triangolazioni}
}



@inproceedings{Mauro-etal:22c,
author = {Mauro, Noemi and Geninatti Cossatin, Angelo and Cravero, Ester and Ardissono, Liliana and Magnano, Guido and Giardino, Marco and Mattutino, Claudio},
title = {A Mobile Guide to Explore Interconnections between Science, Art and Territory},
year = {2022},
isbn = {9781450392327},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
doi = {10.1145/3511047.3537649},
abstract = {Most Cultural Heritage mobile guides are developed using a location-based hypertext model that guides the exploration of individual itineraries. However, Cultural Heritage places are often immersed in parallel and interlaced stories about art, history and science, which might be relevant to the tourist. Therefore, we are interested in investigating the semantic connections between the narratives that involve different Point of Interests to provide tourists with interconnected views of the Cultural Heritage of a place. As a first step in this direction, we present the Triangolazioni mobile guide, which allows users to thematically explore places through the navigation of narratives, and to connect narratives to each other based on topic similarity. Triangolazioni can be accessed from mobile phone, tablet and desktop, and supports the physical and virtual exploration of Points of Interest in the area around Torino, Italy.},
booktitle = {Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization},
pages = {397–401},
numpages = {5},
keywords = {Cultural Heritage, mobile guides},
location = {Barcelona, Spain},
series = {UMAP '22 Adjunct},
url_Link = {https://doi.org/10.1145/3511047.3537649},
url_Paper = {2022_PATCH_Triangolazioni}
}



@inproceedings{10.1145/3511047.3536341,
author = {Kuflik, Tsvika and Mauro, Noemi and Raptis, George E. and Wecker, Alan},
title = {13th International Workshop on Personalized Access to Cultural Heritage (PATCH 2022) - Towards Hybrid CH Experience},
year = {2022},
isbn = {9781450392327},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url_Link = {https://doi.org/10.1145/3511047.3536341},
doi = {10.1145/3511047.3536341},
abstract = {ACM PATCH 2022, the 13th International Workshop on Personalized Access to Cultural Heritage, is organized in conjunction with the 30th International Conference on User Modeling, Adaptation and Personalization. It is the meeting point between researchers and practitioners working on personalization in cultural heritage, aiming to enhance the user experience in digital and physical Cultural Heritage sites. The PATCH workshops started in 2007 and they are typically held in conjunction with UMAP, IUI and recently AVI Conference series. This paper summarizes the main ideas addressed in the papers accepted for presentation at PATCH 2022 and for publication in the workshop proceedings.},
booktitle = {Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization},
pages = {371–373},
numpages = {3},
keywords = {Cultural Heritage, Personalization, User Modeling.},
location = {Barcelona, Spain},
series = {UMAP '22 Adjunct}
}



@article{Latifi-etal:21,
author = {Sara Latifi and Noemi Mauro and Dietmar Jannach},
title = {Session-aware Recommendation: A Surprising Quest for the State-of-the-art},
journal = {Information Sciences},
volume = {573},
pages = {291-315},
year = {2021},
issn = {0020-0255},
doi = {10.1016/j.ins.2021.05.048},
url_Link = {https://www.sciencedirect.com/science/article/pii/S0020025521005089},
url_Paper = {2021_IS_Session-aware.pdf},
keywords = {Session-aware Recommendation, Evaluation, Reproducibility},
abstract = {Recommender systems are designed to help users in situations of information overload. In recent years we observed increased interest in session-based recommendation scenarios, where the problem is to make item suggestions to users based only on interactions observed in an ongoing session, e.g., on an e-commerce site. However, in cases where interactions from previous user sessions are also available, the recommendations can be personalized according to the users’ long-term preferences, a process called session-aware recommendation. Today, research in this area is scattered, and many works only compare a newly proposed session-aware with existing session-based models. This makes it challenging to understand what represents the state-of-the-art. To close this research gap, we benchmarked recent session-aware algorithms against each other and against a number of session-based recommendation algorithms along with heuristic extensions thereof. Our comparison, to some surprise, revealed that (i) simple techniques based on nearest neighbors consistently outperform recent neural techniques and that (ii) session-aware models were mostly not better than approaches that do not use long-term preference information. Our work therefore points to potential methodological issues where new methods are compared to weak baselines, and it also indicates that there remains a huge potential for more sophisticated session-aware recommendation algorithms.}
}



@article{Mauro-etal:21b,
author = "Noemi Mauro and Liliana Ardissono and Giovanna Petrone",
title = "User and Item-aware Estimation of Review Helpfulness",
journal = "Information Processing \& Management",
volume = "58",
number = "1",
pages = "102434",
year = "2021",
issn = "0306-4573",
doi = "10.1016/j.ipm.2020.102434",
url_Link = "http://www.sciencedirect.com/science/article/pii/S0306457320309274",
url_Paper = {2021_IPAM_Helpfulness.pdf},
keywords = {Review helpfulness, Helpfulness determinants, Regression analysis, Helpfulness-aware personalized item recommendation},
abstract = {In online review sites, the analysis of user feedback for assessing its helpfulness for decision-making is usually carried out by locally studying the properties of individual reviews. However, global properties should be considered as well to precisely evaluate the quality of user feedback. In this paper we investigate the role of deviations in the properties of reviews as helpfulness determinants with the intuition that “out of the core” feedback helps item evaluation. We propose a novel helpfulness estimation model that extends previous ones with the analysis of deviations in rating, length and polarity with respect to the reviews written by the same person, or concerning the same item. A regression analysis carried out on two large datasets of reviews extracted from Yelp social network shows that user-based deviations in review length and rating clearly influence perceived helpfulness. Moreover, an experiment on the same datasets shows that the integration of our helpfulness estimation model improves the performance of a collaborative recommender system by enhancing the selection of high-quality data for rating estimation. Our model is thus an effective tool to select relevant user feedback for decision-making.}
}



@article{Ludewig-etal:21b,
  author = {Ludewig, Malte and Mauro, Noemi and Latifi, Sara and Jannach, Dietmar},
  title = {Empirical Analysis of Session-based Recommendation Algorithms},
  journal={User Modeling and User-Adapted Interaction},
  year = {2021},
  issn={1573-1391},
  doi={10.1007/s11257-020-09277-1},
  url_Link={https://link.springer.com/article/10.1007/s11257-020-09277-1},
  url_Paper = {2021_UMUAI_Empirical.pdf},
  keywords = {Session-based recommendation, Performance evaluation, Reproducibility},
  abstract = {Recommender systems are tools that support online users by pointing them to potential items of interest in situations of information overload. In recent years, the class of session-based recommendation algorithms received more attention in the research literature. These algorithms base their recommendations solely on the observed interactions with the user in an ongoing session and do not require the existence of long-term preference profiles. Most recently, a number of deep learning-based (“neural”) approaches to session-based recommendations have been proposed. However, previous research indicates that today’s complex neural recommendation methods are not always better than comparably simple algorithms in terms of prediction accuracy. With this work, our goal is to shed light on the state of the art in the area of session-based recommendation and on the progress that is made with neural approaches. For this purpose, we compare twelve algorithmic approaches, among them six recent neural methods, under identical conditions on various datasets. We find that the progress in terms of prediction accuracy that is achieved with neural methods is still limited. In most cases, our experiments show that simple heuristic methods based on nearest-neighbors schemes are preferable over conceptually and computationally more complex methods. Observations from a user study furthermore indicate that recommendations based on heuristic methods were also well accepted by the study participants. To support future progress and reproducibility in this area, we publicly share the SESSION-REC evaluation framework that was used in our research.}
} 



@InProceedings{Mauro-etal:21f,
author={Mauro, Noemi
and Hu, Zhongli Filippo
and Ardissono, Liliana},
title={Service-Oriented Justification of Recommender System Suggestions},
booktitle={Human-Computer Interaction -- INTERACT 2021},
year={2021},
publisher={Springer International Publishing},
address={Cham},
pages={321--330},
isbn={978-3-030-85613-7},
url_Link = {https://link.springer.com/chapter/10.1007/978-3-030-85613-7_23},
url_Paper = {2021_INTERACT.pdf},
abstract={In the selection of products or services, overviewing the list of options to identify the most promising ones is key to decision-making. However, current models for the justification of recommender systems results poorly support this task because, as they exclusively focus on item properties, they generate detailed justifications that are lengthy to skim. Moreover, they overlook the existence of a complex item fruition process which can impact customer satisfaction as well. For instance, consumer feedback shows that relevant factors in home booking include both the properties of apartments, and previous customers' perceptions of the interaction with the personnel who manages the homes. To address this issue, we propose a visual model that exploits an explicit representation of the service underlying item fruition to generate a high-level, holistic summary of previous consumers' opinions about the suggested items. From this overview, the user can identify the relevant items and retrieve detailed information about them, in a selective way, thus reducing information load. Our model is instantiated on the Airbnb experiences domain and uses the Service Blueprints to identify evaluation dimensions for the incremental presentation of data about items. A preliminary user study has shown that our model supports user awareness about items by enabling people to quickly filter out the unsuitable recommendations, so that they can analyze in detail the most relevant options.},
}



@InProceedings{Cena-etal:21,
author="Cena, Federica
and Rapp, Amon
and Mattutino, Claudio
and Mauro, Noemi
and Ardissono, Liliana
and Cuccurullo, Simone
and Brighenti, Stefania
and Keller, Roberto
and Tirassa, Maurizio",
title="A Personalised Interactive Mobile App for People with Autism Spectrum Disorder",
booktitle="Human-Computer-Interaction -- INTERACT 2021",
year="2021",
publisher="Springer International Publishing",
address="Cham",
pages="313--317",
isbn="978-3-030-85607-6",
url_Link = {https://link.springer.com/chapter/10.1007/978-3-030-85607-6_28},
url_Paper = {2021_INTERACT_PIUMA.pdf},
abstract="The PIUMA app aims at allowing users with autism to explore their city, finding new places that can be interesting for them but at the same time do not annoy them. Users can navigate the city through an interactive map that is both personalized and crowdsourced.",
}



@InProceedings{Mauro-etal:21e,
author="Mauro, Noemi
and Ardissono, Liliana
and Torrielli, Federico
and Izzi, Gianmarco
and Mattutino, Claudio
and Lucenteforte, Maurizio
and Segnan, Marino",
title="NearMe: Dynamic Exploration of Geographical Areas",
booktitle="Human Interface and the Management of Information. Information Presentation and Visualization",
year="2021",
publisher="Springer International Publishing",
address="Cham",
pages="206--217",
url_Link = {https://link.springer.com/chapter/10.1007/978-3-030-78321-1_16},
url_Paper = {2021_HCI_INTERNATIONAL.pdf},
abstract="Web GIS offer precious data to explore geographic areas but they might overload the user with large amounts of information if (s)he is unable to specify efficient search queries. Services such as OpenStreetMap and Google Maps support focused information search, which requires people to exactly define what they are looking for. However, what can be searched within a specific area mainly depends on what is located there. Thus, the question is how to provide the user with an overview of the available data (s)he can look for, instead of forcing her/him to search for information in a blind way.",
isbn="978-3-030-78321-1"
}





@inproceedings{Mauro-etal:21c,
author = {Mauro, Noemi and Hu, Zhongli Filippo Filippo and Ardissono, Liliana and Izzi, Gianmarco},
title = {A Service-Oriented Perspective on the Summarization of Recommendations: Preliminary Experiment},
year = {2021},
isbn = {9781450383677},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url_Link = {https://doi.org/10.1145/3450614.3464475},
url_Paper = {2021_ExUM_Airbnb.pdf},
doi = {10.1145/3450614.3464475},
abstract = {The explanation and justification of recommender systems’ results are challenging research tasks. On the one hand, a model-based description that clarifies the reasoning approach behind the suggestions might be difficult to understand, or it might fail to convince the user, if (s)he does not agree on the applied inference mechanism. On the other hand, an aspect-based justification based on few characteristics might provide a partial view of items or, if more detailed, it might overload the user with too much information. In order to address these issues, we propose a visual model aimed at justifying recommendations from a holistic perspective. Our model is based on a service-oriented summary of consumers’ experience with items. We use the Service Journey Maps to extract data about the experience with services from online reviews, and to generate a visual summary of such feedback, based on evaluation dimensions that refer to all the stages of service fruition. Thanks to a graphical representation of these dimensions (based on bar graphs), and on the provision of on-demand data about the associated aspects of items, our model enables the user to overview the recommendation list and to quickly identify the subset of results that deserve to be inspected in detail for a final selection decision. A preliminary user study, based on the Apartment Monitoring application, has provided encouraging results about the usefulness and efficacy of our model to enhance user awareness and decision-making in the presence of medium-size recommendation lists.},
booktitle = {Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization},
pages = {213–219},
numpages = {7},
keywords = {justification or results, summarization of recommendation lists, Service Journey Maps, review-based recommender systems},
location = {Utrecht, Netherlands},
series = {UMAP '21}
}



@inproceedings{Mauro-etal:21d,
author = {Mauro, Noemi and Ardissono, Liliana and Petrone, Giovanna and Geninatti Cossatin, Angelo and Mattutino, Claudio},
title = {Beyond Traditional Cultural Heritage Recommender Systems: Suggesting Airbnb Experiences to Users},
year = {2021},
isbn = {9781450383677},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url_Link = {https://doi.org/10.1145/3450614.3463385},
url_Paper = {2021_PATCH_Airbnb},
doi = {10.1145/3450614.3463385},
abstract = {Traditional recommender systems suggest Cultural and Natural Heritage items to visitors by matching the target user to the available options, one-to-one. However, the increasing diffusion of informal activities and events, supported by location-based services such as Airbnb, extends personalized recommendation to a many-to-one match-making task. Airbnb experiences, which any citizen can propose to offer geographic tours and thematic activities, are composed of at least two entities to be evaluated: the former is the experience itself (in terms of topic, cost, etc.); the latter is the host, who directly interacts with guests during the management of the planned activities. As both entities can dramatically influence guests’ perceptions, they should be jointly taken into account by recommender systems. This paper presents our preliminary work aimed at extending the personalized suggestion of Cultural Heritage items to such composite objects.},
booktitle = {Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization},
pages = {203–207},
numpages = {5},
keywords = {Cultural Heritage, experience modeling, review-based recommender systems},
location = {Utrecht, Netherlands},
series = {UMAP '21}
}



@inproceedings{patch:2021b,
author = {Ardissono, Liliana and Gena, Cristina and Kuflik, Tsvika and Mauro, Noemi and E. Raptis, George E. and Wecker, Alan},
title = {International Workshop on Personalized Access to Cultural Heritage},
year = {2021},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
doi = {10.1145/3450614.3461456},
url_Link = {https://doi.org/10.1145/3450614.3461456},
abstract = {ACM PATCH 2021, organized in conjunction with the 29th International Conference on User Modeling, Adaptation and Personalization, is the meeting point between researchers and practitioners of personalization in cultural heritage, aiming to enhance the user experience in digital and physical Cultural Heritage sites. The PATCH workshops started in 2007 and they are typically held in conjunction with UMAP, IUI and recently AVI Conference series. This paper summarizes the main ideas addressed in the articles accepted for presentation at PATCH 2021 and for publication in the workshop proceedings.},
booktitle = {Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization},
pages = {184–185},
numpages = {2},
keywords = {User Modeling., Personalization, Cultural Heritage},
location = {Utrecht, Netherlands},
series = {UMAP '21}
}



@inproceedings{Mauro:21c,
  author = {Noemi Mauro and Liliana Ardissono and Federica Cena and Stefano Cocomazzi},
  title = {Information Extraction for Inclusive Recommender Systems},
  year = {2021},
  booktitle = {Joint Proceedings of the ACM IUI 2021 Workshops - Workshop on Social and Cultural Interaction with Personalized Interfaces (SOCIALIZE)},
  address = {Online},
  series    = {{CEUR} Workshop Proceedings},
  volume    = {2903},
  publisher = {CEUR-WS.org},
  url_Link       = {http://ceur-ws.org/Vol-2903/IUI21WS-SOCIALIZE-7.pdf},
  url_Paper = {2021_SOCIALIZE_Autism},
  doi       = {http://ceur-ws.org/Vol-2903/IUI21WS-SOCIALIZE-7.pdf},
  keywords = {Recommender Systems, Geographic Information Systems, People with Autism},
  abstract = {Inclusive recommender systems should take both user preferences and the compatibility of items with the user into account in order to generate suggestions that can be appreciated and smoothly experienced at the same time. For instance, considering people in the Autism Spectrum Disorder, the sensory features of a place that is potentially interesting to the user are important to predict whether it might make her/him uncomfortable when visiting it. However, information about users’ experience with items can
hardly be found in the metadata provided by online geographic sources.
In order to address this issue, we suggest to retrieve it from the consumer feedback collected by location-based services that publish item reviews. This type of feedback represents a sustainable information source because it is supported by people through a continuous reviewing activity. Thus, it deserves special attention as a potential data source. In this paper, we outline how this type of information can be retrieved and we discuss its benefits to Top-N recommendation of Points of Interest.
}
}




@article{Ardissono-Mauro:20,
title = {A Compositional Model of Multi-faceted Trust for Personalized Item Recommendation},
journal = {Expert Systems with Applications},
volume = {140},
pages = {112880},
year = {2020},
issn = {0957-4174},
doi = {10.1016/j.eswa.2019.112880},
url_Link = {https://www.sciencedirect.com/science/article/pii/S0957417419305901},
url_Paper={2020_ESWA_Trust.pdf},
author = {Liliana Ardissono and Noemi Mauro},
keywords = {Multi-faceted trust, Trust-based recommender systems, Compositional trust model, Matrix factorization},
abstract = {Trust-based recommender systems improve rating prediction with respect to Collaborative Filtering by leveraging the additional information provided by a trust network among users to deal with the cold start problem. However, they are challenged by recent studies according to which people generally perceive the usage of data about social relations as a violation of their own privacy. In order to address this issue, we extend trust-based recommender systems with additional evidence about trust, based on public anonymous information, and we make them configurable with respect to the data that can be used in the given application domain: 1. We propose the Multi-faceted Trust Model (MTM) to define trust among users in a compositional way, possibly including or excluding the types of information it contains. MTM flexibly integrates social links with public anonymous feedback received by user profiles and user contributions in social networks. 2. We propose LOCABAL+, based on MTM, which extends the LOCABAL trust-based recommender system with multi-faceted trust and trust-based social regularization. Experiments carried out on two public datasets of item reviews show that, with a minor loss of user coverage, LOCABAL+ outperforms state-of-the art trust-based recommender systems and Collaborative Filtering in accuracy, ranking of items and error minimization both when it uses complete information about trust and when it ignores social relations. The combination of MTM with LOCABAL+ thus represents a promising alternative to state-of-the-art trust-based recommender systems.}
}





@article{Mauro-etal:20,
title = "Faceted Search of Heterogeneous Geographic Information for Dynamic Map Projection",
journal = "Information Processing \& Management",
volume = "57",
number = "4",
pages = "102257",
year = "2020",
issn = "0306-4573",
doi = "10.1016/j.ipm.2020.102257",
url_Link = "https://www.sciencedirect.com/science/article/abs/pii/S0306457319311987",
url_Paper = "2020_IPAM_Faceted.pdf",
author = "Noemi Mauro and Liliana Ardissono and Maurizio Lucenteforte",
keywords = {Faceted information exploration, Dynamic projection of geographic maps, GIS, Geographic information search},
abstract = {This paper proposes a faceted information exploration model that supports coarse-grained and fine-grained focusing of geographic maps by offering a graphical representation of data attributes within interactive widgets. The proposed approach enables (i) a multi-category projection of long-lasting geographic maps, based on the proposal of efficient facets for data exploration in sparse and noisy datasets, and (ii) an interactive representation of the search context based on widgets that support data visualization, faceted exploration, category-based information hiding and transparency of results at the same time. The integration of our model with a semantic representation of geographical knowledge supports the exploration of information retrieved from heterogeneous data sources, such as Public Open Data and OpenStreetMap. We evaluated our model with users in the OnToMap collaborative Web GIS. The experimental results show that, when working on geographic maps populated with multiple data categories, it outperforms simple category-based map projection and traditional faceted search tools, such as checkboxes, in both user performance and experience.}
}



@article{Mauro-etal:20a,
title = "Service-Aware Interactive Presentation of Items for Decision-Making",
journal = "Applied Sciences",
volume = "10",
number = "16",
pages = "5599",
year = "2020",
issn = "",
doi = "10.3390/app10165599",
url_Link = "https://www.mdpi.com/2076-3417/10/16/5599",
url_Paper = "2020_APPLIEDSC_Apart_Mon.pdf",
author = "Noemi Mauro and Liliana Ardissono and Sara Capecchi and Rosario Galioto",
keywords ="Interactive information exploration; Information visualization; Service design; Service Journey Maps",
abstract = "Current information exploration models present low-level features or technical aspects related to the paradigm used to generate results. While this may increase transparency, it does not help the user form a personal opinion about items because it does not describe the overall experience with them. In order to address this issue, we propose the INTERactivE viSualizaTion model (INTEREST) that supports the exploration and analysis of search results by means of a graphical representation of consumer feedback aimed at making the user aware of the service properties in all the stages of fruition, focusing on the data that is most relevant to her/him. INTEREST is based on the Service Journey Maps for the design and description of user experience with services. We applied it to the home booking domain by developing the Apartment Monitoring application that supports overviewing and analyzing online reviews about rented homes. In a user study, we compared the decision-making support provided by our application with that of a baseline model that enables a temporal filtering of consumer feedback. We found out that Apartment Monitoring outperforms the baseline in user experience, user awareness of item properties, and user control during the interaction with the system. In particular, according to the participants of the study, Apartment Monitoring describes the expectations about the homes and it supports their selection in a more effective way than the baseline. These findings encourage moving from a low-level description of item properties to a service-oriented one in order to improve users’ decision-making capabilities."
}



@inproceedings{Mauro:2020,
author = {Mauro, Noemi and Ardissono, Liliana and Cena, Federica},
title = {Personalized Recommendation of PoIs to People with Autism},
year = {2020},
isbn = {9781450368612},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url_Link = {https://doi.org/10.1145/3340631.3394845},
url_Paper = {2020_UMAP_Autism.pdf},
doi = {10.1145/3340631.3394845},
abstract = {The suggestion of Points of Interest to people with Autism Spectrum Disorder (ASD) challenges recommender systems research because these users' perception of places is influenced by idiosyncratic sensory aversions which can mine their experience by causing stress and anxiety. Therefore, managing individual preferences is not enough to provide these people with suitable recommendations. In order to address this issue, we propose a Top-N recommendation model that combines the user's idiosyncratic aversions with her/his preferences in a personalized way to suggest the most compatible and likable Points of Interest for her/him. We are interested in finding a user-specific balance of compatibility and interest within a recommendation model that integrates heterogeneous evaluation criteria to appropriately take these aspects into account. We tested our model on both ASD and "neurotypical" people. The evaluation results show that, on both groups, our model outperforms in accuracy and ranking capability the recommender systems based on item compatibility, on user preferences, or which integrate these two aspects by means of a uniform evaluation model.},
booktitle = {Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization},
pages = {163–172},
numpages = {10},
keywords = {autism spectrum disorder, recommender systems, accessibility},
location = {Genoa, Italy},
series = {UMAP '20}
}




@inproceedings{Cena:20,
author = {Cena, Federica and Mauro, Noemi and Ardissono, Liliana and Mattutino, Claudio and Rapp, Amon and Cocomazzi, Stefano and Brighenti, Stefania and Keller, Roberto},
title = {Personalized Tourist Guide for People with Autism},
year = {2020},
isbn = {9781450379502},
publisher = {Association for Computing Machinery},
location = {New York, NY, USA},
url_Link = {https://doi.org/10.1145/3386392.3399280},
url_Paper = {2020_PATCH_Autism.pdf},
doi = {10.1145/3386392.3399280},
booktitle = {Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization},
pages = {347–351},
numpages = {5},
keywords = {autism spectrum disorder, accessibility, recommender systems, cultural heritage exploration, tourism},
address = {Genoa, Italy},
series = {UMAP ’20 Adjunct},
abstract = {Cultural Heritage exploration is interesting for the development of inclusive tourist guides because it exposes visitors to different types of challenges, from steering content recommendation to visitors' interests and cognitive capabilities, to the suggestion of places that can be effectively reached and visited under different types of constraints: e.g., temporal and physical ones. In this work we are interested in the needs of people with Autism in order to support them in the exploration of a geographic area. Specifically, this paper presents a mobile tourist guide that we are developing to help people in visiting new places. The app is an evolution of PIUMA (Personalised Interactive Urban Maps for Autism), conceived to help autistic citizens in their everyday movements. It shows a map tailored to users with Autism Spectrum Disorder. In particular, it presents a personalized selection of safe Points of Interest, i.e., places that are, at the same time, interesting for the user and have "safe" characteristics from the sensory point of view, such as being quiet, scarcely crowded, or with smooth lights. In this paper, we present how we intend to extend PIUMA to support tourists.},
}



@inproceedings{Rapp:20,
  author = {Amon Rapp and Federica Cena and Claudio Mattutino and Claudio Schifanella and Noemi Mauro and Liliana Ardissono and Guido Boella and  Stefania Brighenti and Romina Castaldo and Roberto Keller and Arianna Boldi and Maurizio Tirassa},
  title = {How Can We Engage People to Map Places Suitable for the Autistic Population? {A} Crowdsourced Approach},
  year = {2020},
  booktitle = {Proceedings of the Second Symposium on Psychology-Based Technologies (PSYCHOBIT 2020)},
  address = {Naples, Italy},
  series    = {{CEUR} Workshop Proceedings},
  volume    = {2730},
  publisher = {CEUR-WS.org},
  url_Link       = {http://ceur-ws.org/Vol-2730/paper4.pdf},
  url_Paper = {2020_PSYCHOBIT.pdf},
  doi       = {http://ceur-ws.org/Vol-2730/paper4.pdf},
  keywords = {Autism, Crowdsourcing, Maps},
  abstract = {The crowdsourcing paradigm applied to the urban environment (i.e.,
  people while moving can provide data from different places) may play a fundamental
  role in transforming users in significant actors of the places in which
  they live. In the last years, several crowdsourcing services have been developed
  to allow citizens to collaborate, by collecting data about urban accessibility.
  This effort, however, focused mainly on physical disabilities. We aim to help
  people with Autism Spectrum Disorder (ASD) move across and live in urban
  environments by means of a crowdsourced personalized map. The map is populated
  with comments and reviews by people with ASD and caregivers, in order
  to highlight places, routes, and activities (e.g., less crowded routes, quiet places)
  to make ASD people’s daily lives more comfortable.}
}




@inproceedings{Mauro:20a,
author = {Noemi Mauro and Izzi, Gianmarco and Pellegrino, Marco and Ardissono, Liliana and Grandi, Claudio and Lucenteforte, Maurizio and Segnan, Marino},
title = {Faceted Exploration of Cultural Heritage},
year = {2020},
isbn = {9781450379502},
publisher = {Association for Computing Machinery},
location = {New York, NY, USA},
url_Link = {https://doi.org/10.1145/3386392.3399279},
url_Paper={2020_PATCH_Faceted.pdf},
doi = {10.1145/3386392.3399279},
booktitle = {Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization},
pages = {340–346},
numpages = {7},
keywords = {dynamic projection of geographic maps, interactive user interfaces for ch applications, geographic information search, faceted information exploration},
address = {Genoa, Italy},
series = {UMAP ’20 Adjunct},
abstract = {The richness of Cultural Heritage (CH) sites exposes tourists to an information overload which makes it difficult to efficiently select the items that they like and can practically visit within a tour.Faceted information exploration has been proposed as a solution to analyze large sets of data. However, most works focus on the inspection of a single type of information, e.g., hotels or music. In contrast, CH items are heterogeneous: they include natural and artificial monuments and different types of artworks which might be visited within a single tour. Moreover, CH sites are often visited in group, thus raising the expectation that all the involved people share information and decisions about what to do.In order to address this issue, we propose a map-based faceted exploration model that makes it possible to create custom, long-lasting maps representing a shared information space for user collaboration, and temporally project these maps on the basis of fine-grained filters which help users focus on items associated to short-term, specific interests. Our model supports the user in the organization and filtering of CH information on the basis of multiple perspectives related to the attributes of items. We propose graphical widgets to support interactive data visualization, faceted exploration, category-based information hiding and transparency of results at the same time. The widgets are based on the sunburst diagram, which compactly displays visualization criteria on data categories by showing facets and facet values in a circular structure.},
}
    



@inproceedings{patch2020b,
author = {Ardissono, Liliana and Mauro, Noemi and Raptis, George E. and Wecker, Alan},
title = {Workshop on Personalized Access to Cultural Heritage: PATCH'20 Chairs' Welcome},
year = {2020},
isbn = {9781450379502},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url_Link = {https://doi.org/10.1145/3386392.3399275},
doi = {10.1145/3386392.3399275},
booktitle = {Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization},
pages = {315–316},
numpages = {2},
location = {Genoa, Italy},
series = {UMAP '20 Adjunct}
}



@inproceedings{patch2020a,
author = {Ardissono, Liliana and Mauro, Noemi and Raptis, George E. and Wecker, Alan},
title = {Workshop on Personalized Access to Cultural Heritage: PATCH'20},
year = {2020},
isbn = {9781450368612},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url_Link = {https://doi.org/10.1145/3340631.3398670},
doi = {10.1145/3340631.3398670},
booktitle = {Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization},
pages = {396–397},
numpages = {2},
keywords = {user modeling, cultural heritage, personalization},
location = {Genoa, Italy},
series = {UMAP '20}
}





@inproceedings{Ludewig:2019,
 author = {Ludewig, Malte and Noemi Mauro and Latifi, Sara and Jannach, Dietmar},
 title = {Performance Comparison of Neural and Non-neural Approaches to Session-based Recommendation},
 booktitle = {Proceedings of the 13th ACM Conference on Recommender Systems},
 series = {RecSys '19},
 year = {2019},
 isbn = {978-1-4503-6243-6},
 address = {Copenhagen, Denmark},
 pages = {462--466},
 numpages = {5},
 url_Link = {http://doi.acm.org/10.1145/3298689.3347041},
 url_Paper = {2019_RecSys_Neural.pdf},
 doi = {10.1145/3298689.3347041},
 acmid = {3347041},
 publisher = {ACM},
 location = {New York, NY, USA},
 keywords = {evaluation, reproducibility, session-based recommendation},
 abstract = {The benefits of neural approaches are undisputed in many application areas. However, today's research practice in applied machine learning---where researchers often use a variety of baselines, datasets, and evaluation procedures---can make it difficult to understand how much progress is actually achieved through novel technical approaches. In this work, we focus on the fast-developing area of session-based recommendation and aim to contribute to a better understanding of what represents the state-of-the-art.To that purpose, we have conducted an extensive set of experiments, using a variety of datasets, in which we benchmarked four neural approaches that were published in the last three years against each other and against a set of simpler baseline techniques, e.g., based on nearest neighbors. The evaluation of the algorithms under the exact same conditions revealed that the benefits of applying today's neural approaches to session-based recommendations are still limited. In the majority of the cases, and in particular when precision and recall are used, it turned out that simple techniques in most cases outperform recent neural approaches. Our findings therefore point to certain major limitations of today's research practice. By sharing our evaluation framework publicly, we hope that some of these limitations can be overcome in the future.},
} 



  

@inproceedings{Mauro:2019b,
 author = {Noemi Mauro and Ardissono, Liliana and Hu, Zhongli Filippo},
 title = {Multi-Faceted Trust-Based Collaborative Filtering},
 year = {2019},
 isbn = {9781450360210},
 publisher = {Association for Computing Machinery},
 location = {New York, NY, USA},
 url_Link = {https://doi.org/10.1145/3320435.3320441},
 url_Paper = {2019_UMAP_Trust.pdf},
 doi = {10.1145/3320435.3320441},
 booktitle = {Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization},
 pages = {216–224},
 numpages = {9},
 keywords = {thematic maps, information search, personalization., session-based concept suggestion},
 address = {Larnaca, Cyprus},
 series = {UMAP ’19},
 abstract = {Many collaborative recommender systems leverage social correlation theories to improve suggestion performance. However, they focus on explicit relations between users and they leave out other types of information that can contribute to determine users' global reputation; e.g., public recognition of reviewers' quality.We are interested in understanding if and when these additional types of feedback improve Top-N recommendation. For this purpose, we propose a multi-faceted trust model to integrate local trust, represented by social links, with various types of global trust evidence provided by social networks. We aim at identifying general classes of data in order to make our model applicable to different case studies. Then, we test the model by applying it to a variant of User-to-User Collaborative filtering (U2UCF) which supports the fusion of rating similarity, local trust derived from social relations, and multi-faceted reputation for rating prediction.We test our model on two datasets: the Yelp one publishes generic friend relations between users but provides different types of trust feedback, including user profile endorsements. The LibraryThing dataset offers fewer types of feedback but it provides more selective friend relations aimed at content sharing. The results of our experiments show that, on the Yelp dataset, our model outperforms both U2UCF and state-of-the-art trust-based recommenders that only use rating similarity and social relations. Differently, in the LibraryThing dataset, the combination of social relations and rating similarity achieves the best results. The lesson we learn is that multi-faceted trust can be a valuable type of information for recommendation. However, before using it in an application domain, an analysis of the type and amount of available trust evidence has to be done to assess its real impact on recommendation performance.},
}


  

@inproceedings{Mauro:2019a,
 author = {Noemi Mauro and Ardissono, Liliana},
 title = {Extending a Tag-Based Collaborative Recommender with Co-Occurring Information Interests},
 year = {2019},
 isbn = {9781450360210},
 publisher = {Association for Computing Machinery},
 location = {New York, NY, USA},
 url_Link = {https://doi.org/10.1145/3320435.3320458},
 url_Paper = {2019_UMAP_Cat.pdf},
 doi = {10.1145/3320435.3320458},
 booktitle = {Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization},
 pages = {181–190},
 numpages = {10},
 keywords = {collaborative filtering, category-based user profiles, tag-based recommender systems, preference co-occurrence in information search.},
 address = {Larnaca, Cyprus},
 series = {UMAP ’19},
 abstract = {Collaborative Filtering is largely applied to personalize item recommendation but its performance is affected by the sparsity of rating data. In order to address this issue, recent systems have been developed to improve recommendation by extracting latent factors from the rating matrices, or by exploiting trust relations established among users in social networks. In this work, we are interested in evaluating whether other sources of preference information than ratings and social ties can be used to improve recommendation performance. Specifically, we aim at testing whether the integration of frequently co-occurring interests in information search logs can improve recommendation performance in User-to-User Collaborative Filtering (U2UCF). For this purpose, we propose the Extended Category-based Collaborative Filtering (ECCF) recommender, which enriches category-based user profiles derived from the analysis of rating behavior with data categories that are frequently searched together by people in search sessions. We test our model using a big rating dataset and a log of a largely used search engine to extract the co-occurrence of interests. The experiments show that ECCF outperforms U2UCF and category-based collaborative recommendation in accuracy, MRR, diversity of recommendations and user coverage. Moreover, it outperforms the SVD++ Matrix Factorization algorithm in accuracy and diversity of recommendation lists.},
}



@inproceedings{Mauro:2019c,
 author = {Noemi Mauro},
 title = {Supporting the Exploration of Cultural Heritage Information via Search Behavior Analysis},
 year = {2019},
 isbn = {9781450367110},
 publisher = {Association for Computing Machinery},
 location = {New York, NY, USA},
 url_Link = {https://doi.org/10.1145/3314183.3323862},
 url_Paper = {2019_PATCH_Topics.pdf},
 doi = {10.1145/3314183.3323862},
 booktitle = {Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization},
 pages = {371–376},
 numpages = {6},
 keywords = {session-based concept suggestion, personalization, thematic maps, information search},
 address = {Larnaca, Cyprus},
 series = {UMAP’19 Adjunct},
 abstract = {Thematic maps, traditionally developed to present specific themes within defined geographical areas, are an interesting information presentation model for Cultural Heritage exploration because of the abstract view on the territory they provide. However, in order to cope with possibly heterogeneous user interests, they should be adapted to the individual user by including the relevant types of information, given her/his specific interests. In a previous paper, we proposed an approach to the integration of thematic maps in the OnToMap Participatory GIS (Geographic Information System), in order to support query expansion during an exploratory search task. The proposed maps were built on the basis of a survey in which we asked people to rate the relevance of a set of concepts to five main themes around which we developed the maps. In this paper we go one step forward and we propose a more general approach to information search support in order to automatically create thematic maps, based on the analysis of frequently co-occurring search interests in a search engine query log. This type of analysis supports the identification of clusters of concepts that people frequently search within the same sessions and helps the identification of co-occurring topics that can be proposed to users when exploring an information space. In this way, when the user browses a catalog of Cultural Heritage information, (s)he can both visualize the thematic maps relevant to the search context, and be guided in the navigation within types of information, looking for possibly complementary types of data to satisfy her/his needs.},
}



@inproceedings{patch2019,
author = {Ardissono, Liliana and Gena, Cristina and Kuflik, Tsvi and Mauro, Noemi},
title = {UMAP PATCH 2019 Chairs' Welcome},
year = {2019},
isbn = {9781450367110},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url_Link = {https://doi.org/10.1145/3314183.3323860},
doi = {10.1145/3314183.3323860},
booktitle = {Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization},
pages = {359–361},
numpages = {3},
keywords = {recommender systems, personalization, cultural heritage, user modeling.},
location = {Larnaca, Cyprus},
series = {UMAP'19 Adjunct}
}



@inproceedings{Mauro:2018b,
 author = {Mauro, Noemi and Di Rocco, Laura and Ardissono, Liliana and Bertolotto, Michela and Guerrini, Giovanna},
 title = {Impact of Semantic Granularity on Geographic Information Search Support},
 booktitle = {Proceedings of the International Conference on Web Intelligence},
 series = {WI '18},
 year = {2018},
 url_Link = {https://ieeexplore.ieee.org/document/8609610},
 url_Paper = {2018_WI_Granularity.pdf},
 doi={10.1109/WI.2018.00-73},
 address = {Santiago De Chile, Chile},
 keywords = {geographical information retrieval, semantic granularity, session-based concept suggestion},
 abstract = {The Information Retrieval research has used semantics to provide accurate search results, but the analysis of conceptual abstraction has mainly focused on information integration. We consider session-based query expansion in Geographical Information Retrieval, and investigate the impact of semantic granularity (i.e., specificity of concepts representation) on the suggestion of relevant types of information to search for. We study how different levels of detail in knowledge representation influence the capability of guiding the user in the exploration of a complex information space. A comparative analysis of the performance of a query expansion model, using three spatial ontologies defined at different semantic granularity levels, reveals that a fine-grained representation enhances recall. However, precision depends on how closely the ontologies match the way people conceptualize and verbally describe the geographic space.}
} 



@inproceedings{Ardissono-etal:18,
author = {Ardissono, Liliana and Delsanto, Matteo and Lucenteforte, Maurizio and Mauro, Noemi and Savoca, Adriano and Scanu, Daniele},
title = {Map-Based Visualization of 2D/3D Spatial Data via Stylization and Tuning of Information Emphasis},
year = {2018},
isbn = {9781450356169},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
 pages = {38:1--38:5},
url_Link = {https://doi.org/10.1145/3206505.3206516},
url_Paper = {2018_AVI_3D_Short.pdf},
doi = {10.1145/3206505.3206516},
abstract = {In Geographical Information search, map visualization can challenge the user because results can consist of a large set of heterogeneous items, increasing visual complexity. We propose a novel visualization model to address this issue. Our model represents results as markers, or as geometric objects, on 2D/3D layers, using stylized and highly colored shapes to enhance their visibility. Moreover, the model supports interactive information filtering in the map by enabling the user to focus on different data categories, using transparency sliders to tune the opacity, and thus the emphasis, of the corresponding data items. A test with users provided positive results concerning the efficacy of the model.},
booktitle = {Proceedings of the 2018 International Conference on Advanced Visual Interfaces},
articleno = {38},
numpages = {5},
keywords = {visual information filtering, search results visualization, opacity tuning, 2D/3D geographical maps},
location = {Castiglione della Pescaia, Grosseto, Italy},
series = {AVI '18}
}




@inproceedings{Ardissono-etal:18b,
author = {Ardissono, Liliana and Delsanto, Matteo and Lucenteforte, Maurizio and Mauro, Noemi and Savoca, Adriano and Scanu, Daniele},
title = {Transparency-Based Information Filtering on 2D/3D Geographical Maps},
year = {2018},
isbn = {9781450356169},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url_Link = {https://doi.org/10.1145/3206505.3206566},
url_Paper = {2018_AVI_3D_Demo.pdf},
doi = {10.1145/3206505.3206566},
 pages = {56:1--56:3},
abstract = {The presentation of search results in GIS can expose the user to cluttered geographical maps, challenging the identification of relevant information. In order to address this issue, we propose a visualization model supporting interactive information filtering on 2D/3D maps. Our model is based on the introduction of transparency sliders that enable the user to tune the opacity, and thus the emphasis, of data categories in the map. In this way, he or she can focus the maps on the most relevant types of information for the task to be performed. A test with users provided positive results concerning the efficacy of our model.},
booktitle = {Proceedings of the 2018 International Conference on Advanced Visual Interfaces},
articleno = {56},
numpages = {3},
keywords = {visual information filtering, search results visualization, opacity tuning, 2D/3D geographical maps},
location = {Castiglione della Pescaia, Grosseto, Italy},
series = {AVI '18}
}




@inproceedings{Mauro:2018,
author = {Mauro, Noemi and Ardissono, Liliana},
title = {Session-Based Suggestion of Topics for Geographic Exploratory Search},
year = {2018},
isbn = {9781450349451},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url_Link = {https://doi.org/10.1145/3172944.3172957},
url_Paper= {2018_IUI_Topics.pdf},
doi = {10.1145/3172944.3172957},
abstract = {Exploratory information search can challenge users in the formulation of efficacious search queries. Moreover, complex information spaces, such as those managed by Geographical Information Systems, can disorient people, making it difficult to find relevant data. In order to address these issues, we developed a session-based suggestion model that proposes concepts as a em "you might also be interested in»» function, by taking the user»s previous queries into account. Our model can be applied to incrementally generate suggestions in interactive search. It can be used for query expansion, and in general to guide users in the exploration of possibly complex spaces of data categories. Our model is based on a concept co-occurrence graph that describes how frequently concepts are searched together in search sessions. Starting from an ontological domain representation, we generated the graph by analyzing the query log of a major search engine. Moreover, we identified clusters of ontology concepts which frequently co-occur in the sessions of the log via community detection on the graph. The evaluation of our model provided satisfactory accuracy results.},
booktitle = {23rd International Conference on Intelligent User Interfaces},
pages = {341–352},
numpages = {12},
keywords = {query expansion, geographical information retrieval, session-based concept suggestion},
location = {Tokyo, Japan},
series = {IUI '18}
}



@inproceedings{Mauro:2018a,
author = {Mauro, Noemi},
title = {Suggestion Models in Geographic Exploratory Search},
year = {2018},
isbn = {9781450349451},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url_Link = {https://doi.org/10.1145/3172944.3173148},
url_Paper = {2018_IUI_DC.pdf},
doi = {10.1145/3172944.3173148},
abstract = {My PhD project focuses on the suggestion of information categories in exploratory search in a geographical domain. Geographical maps may challenge the user in the exploration of possibly complex information spaces, making difficult to find all the relevant data for the completion of her/his search task. I propose different models for concepts suggestion which, given a search query, allow the creation of clusters of categories useful for query expansion as a "you might be interested in" function. The training of these models is done by exploiting different types of information: search sessions, users» preferences and social data coming from Twitter.},
booktitle = {23rd International Conference on Intelligent User Interfaces},
pages = {669–670},
numpages = {2},
keywords = {geographical information retrieval and search, query expansion, session-based concept suggestion},
location = {Tokyo, Japan},
series = {IUI '18}
}





@article{Ardissono-etal:17e,
   author = {Liliana Ardissono and Maurizio Lucenteforte and Noemi Mauro and Adriano Savoca and Angioletta Voghera},
   title = {Personalised Community Maps},
   journal = {International Journal of Electronic Governance},
   publisher = {Inderscience},
   volume = {9},
   number = {1-2},
   pages = {156-178},
   year = {2017},
    doi = {10.1504/IJEG.2017.084648},
    url_Link = {https://doi.org/10.1504/IJEG.2017.084648},
    abstract = {Abstract: With the convergence of geographical information systems (GIS) and internet technology, the public administration is starting to use online maps as a web-based bidirectional communication channel with the population: maps are used: i) in public portals, for publishing and crowdsourcing information about the territory; ii) in policy-making, for defining a community vision of the territory and for involving people in public choices. Both cases raise challenges related to the large amount of data handled in the maps, and to their lack of group collaboration support. We attempted to address these issues by developing an information-sharing model, and a testbed software application, that support group management and the generation of persistent, custom community maps focused on the user's interests. Our model builds on tag-based user profiles and on information filtering. This paper describes our model and the results of an evaluation of the GroupMapping application, based on it.}
}



 

@inproceedings{Mauro:2017b,
author = {Mauro, Noemi and Ardissono, Liliana and Savoca, Adriano},
title = {Concept-Aware Geographic Information Retrieval},
year = {2017},
isbn = {9781450349512},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url_Link = {https://doi.org/10.1145/3106426.3106498},
url_Paper = {2017_WI_Search.pdf},
doi = {10.1145/3106426.3106498},
abstract = {Textual queries are largely employed in information retrieval to let users specify search goals in a natural way. However, differences in user and system terminologies can challenge the identification of the user's information needs, and thus the generation of relevant results. We argue that the explicit management of ontological knowledge, and of the meaning of concepts (by integrating linguistic and encyclopaedic knowledge in the system ontology), can improve the analysis of search queries, because it enables a flexible identification of the topics the user is searching for, regardless of the adopted vocabulary. This paper proposes an information retrieval support model based on semantic concept identification. Starting from the recognition of the ontology concepts that the search query refers to, this model exploits the qualifiers specified in the query to select information items on the basis of possibly fine-grained features. Moreover, it supports query expansion and reformulation by suggesting the exploration of semantically similar concepts, as well as of concepts related to those referred in the query through thematic relations. A test on a data-set collected using the OnToMap Participatory GIS has shown that this approach provides accurate results.},
booktitle = {Proceedings of the International Conference on Web Intelligence},
pages = {34–41},
numpages = {8},
keywords = {ontologies, information search, participatory GIS, linked data},
location = {Leipzig, Germany},
series = {WI '17}
}



@inproceedings{Ardissono:2017c,
author = {Ardissono, Liliana and Lucenteforte, Maurizio and Mauro, Noemi and Savoca, Adriano and Voghera, Angioletta and La Riccia, Luigi},
title = {OnToMap: Semantic Community Maps for Knowledge Sharing},
year = {2017},
isbn = {9781450347082},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url_Link = {https://doi.org/10.1145/3078714.3078747},
url_Paper = {2017_HT_Demo_Ontomap.pdf},
doi = {10.1145/3078714.3078747},
abstract = {We present the information retrieval model adopted in the OnToMap Participatory GIS. The model addresses the limitations of keyword-based and category-based search by semantically interpreting the information needs specified in free-text search queries. The model is based on an ontological representation of linguistic and encyclopaedic knowledge, which makes it possible to exploit terms and synonyms occurring in the definitions of concepts to flexibly match the user's and system's terminologies. This feature enables users to query the application using their own vocabulary.},
booktitle = {Proceedings of the 28th ACM Conference on Hypertext and Social Media},
pages = {317–318},
numpages = {2},
keywords = {ontologies, linked data, information search, participatory gis},
location = {Prague, Czech Republic},
series = {HT '17}
}



@inproceedings{Mauro:2017a,
 author = {Noemi Mauro},
 title = {Personalization in Geographical Information Search},
 booktitle = {Seventh BCS-IRSG Symposium on Future Directions in Information Access},
 series = {FDIA 2017},
 year = {2017},
 address = {Barcelona, Spain},
 pages = {1--4},
 numpages = {4},
 url_Link = {http://dx.doi.org/10.14236/ewic/FDIA2017.5},
 url_Paper = {2017_FDIA.pdf},
 doi = {10.14236/ewic/FDIA2017.5},
 publisher = {eWiC Series},
 keywords = {Semantic search, personalization, user model, participatory GIS, linked data, ontologies},
 abstract = {My PhD project focuses on the personalization of Participatory GIS (PGIS). In the project I analyze two methodologies to offer personalized search results in community maps and a natural interaction with the system. The first consists of automatically gathering the users interests at a concept level in order to generate clusters of concepts useful for the presentation of thematic maps. This is done by creating ontology-based user models mapped to the domain ontology adopted by the PGIS. The second concerns the creation of content-based user models useful for filtering the items belonging to each concept in a multifaceted way: the goal is that of reducing and adapting the information space presented in the map. In the project I also analyze how these techniques may be jointly used during the query expansion process to retrieve more accurate and relevant search results.}
} 



@inproceedings{Mauro:2017c,
author = {Mauro, Noemi and Ardissono, Liliana},
title = {Thematic Maps for Geographical Information Search},
year = {2017},
isbn = {9781450350679},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url_Link = {https://doi.org/10.1145/3099023.3099087},
url_Paper = {2017_PATCH_Thematic_Maps.pdf},
doi = {10.1145/3099023.3099087},
abstract = {The exploration of cultural heritage information is challenged by the fact that most data provided by online resources is fragmented and it is repository or application-centered. In order to address this issue, a data integration approach should be adopted, that makes it possible to generate custom views, focused on the user's information needs, but easily extensible to support the inspection of topically related contents.In this paper, we present a model supporting the management of thematic maps for information exploration, and their integration with query expansion during the interaction with the user. Our model is based on: (i) an ontological domain knowledge representation for describing the meaning of concepts and their semantic relations; (ii) a semantic interpretation model for identifying the concepts referenced in the user's queries. We are experimenting our model in the OnToMap Participatory GIS, which manages interactive community maps for information sharing and participatory decision-making.},
booktitle = {Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization},
pages = {337–342},
numpages = {6},
keywords = {thematic maps, personalization, information search},
location = {Bratislava, Slovakia},
series = {UMAP '17}
}





@inproceedings{Ardissono:2017b,
author = {Ardissono, Liliana and Lucenteforte, Maurizio and Mauro, Noemi and Savoca, Adriano and Voghera, Angioletta and La Riccia, Luigi},
title = {Semantic Interpretation of Search Queries for Personalization},
year = {2017},
isbn = {9781450350679},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url_Link = {https://doi.org/10.1145/3099023.3099030},
url_Paper = {2017_UMAP_Poster_Ontomap.pdf},
doi = {10.1145/3099023.3099030},
abstract = {This demo paper describes the semantic query interpretation model adopted in the OnToMap Participatory GIS and presents its benefits to information retrieval and personalized information presentation.},
booktitle = {Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization},
pages = {101–102},
numpages = {2},
keywords = {information search, ontologies, user modeling},
location = {Bratislava, Slovakia},
series = {UMAP '17}
}




@inproceedings{Mauro:2017d,
author = {Mauro, Noemi},
title = {Intelligent and Personalized Community Maps},
year = {2017},
isbn = {9781450348935},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url_Link = {https://doi.org/10.1145/3030024.3038282},
url_Paper = {2017_IUI_DC.pdf},
doi = {10.1145/3030024.3038282},
abstract = {My PhD project focuses on Participatory GIS (PGIS). In the project I analyze two methodologies to offer personalized search results in community maps and a natural interaction with the system. The first consists of automatically gathering the terms according to which the users express their information needs, in order to enrich the domain conceptualization of a PGIS, giving common definitions for places. The second concerns the creation of ontology-based user models that reflect the interests, lexicon and modality of expression adopted by each person, mapped to the domain ontology adopted by the PGIS. In the project I also analyze how these techniques may be jointly used during the query expansion process to retrieve more accurate and relevant search results.},
booktitle = {Proceedings of the 22nd International Conference on Intelligent User Interfaces Companion},
pages = {181–184},
numpages = {4},
keywords = {linked data, semantic search, ontologies, personalization, ontology-based user model, participatory GIS},
location = {Limassol, Cyprus},
series = {IUI '17 Companion}
}




@inproceedings{Ardissono:2017,
author = {Ardissono, Liliana and Mauro, Noemi and Savoca, Adriano},
title = {Supporting Knowledge Sharing and Learning via Semantic Geographical Maps},
year = {2017},
isbn = {9781450349048},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url_Link = {https://doi.org/10.1145/3038535.3038537},
url_Paper = {2017_SMART_LEARN.pdf},
doi = {10.1145/3038535.3038537},
abstract = {Map-based applications are a good starting point for helping teachers in the preparation of learning material and students in their researches in social sciences. However, they offer basic information filtering support to the generation of dynamic maps. In this paper, we investigate the adoption of semantic knowledge representation and cooperative work approaches for managing thematic maps in group-based learning activities. Moreover, we present a possible solution, based on the OnToMap Participatory GIS, which uses an ontological representation of geographical information to support multi-faceted information retrieval, crowdsourcing, and map creation.},
booktitle = {Proceedings of the 2017 ACM Workshop on Intelligent Interfaces for Ubiquitous and Smart Learning},
pages = {3–6},
numpages = {4},
keywords = {ontologies, participatory gis, collaborative information sharing, interactive geographical maps for learning},
location = {Limassol, Cyprus},
series = {SmartLearn '17}
}




@inproceedings{Ardissono:2016,
author = {Ardissono, Liliana and Lucenteforte, Maurizio and Mauro, Noemi and Savoca, Adriano and Voghera, Angioletta and La Riccia, Luigi},
title = {Exploration of Cultural Heritage Information via Textual Search Queries},
year = {2016},
isbn = {9781450344135},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url_Link = {https://doi.org/10.1145/2957265.2962648},
url_Paper = {2016_MOBILEHCI.pdf},
doi = {10.1145/2957265.2962648},
abstract = {Searching information in a Geographical Information System (GIS) usually imposes that users explore precompiled category catalogs and select the types of information they are looking for. Unfortunately, that approach is challenging because it forces people to adhere to a conceptualization of the information space that might be different from their own. In order to address this issue, we propose to support textual search as the basic interaction model, exploiting linguistic information, together with category exploration, for query interpretation and expansion. This paper describes our model and its adoption in the OnToMap Participatory GIS.},
booktitle = {Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct},
pages = {992–1001},
numpages = {10},
keywords = {community maps, GIS, text-based information search},
location = {Florence, Italy},
series = {MobileHCI '16}
}
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G.; <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>;  and Ardissono, L.\n</span>\n\n  \n\n</span>\n\n  <i>IEEE Access</i>, 12: 6812-6829.  2024.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://ieeexplore.ieee.org/abstract/document/10380588\"\n     onclick=\"log_download('cossatin-mauro-ardissono-promotinggreenfashionconsumptionthroughdigitalnudgesinrecommendersystems-2024', 'https://ieeexplore.ieee.org/abstract/document/10380588', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Promoting Green Fashion Consumption Through Digital Nudges in Recommender Systems [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2024_IEEE_Fashion.pdf\"\n     onclick=\"log_download('cossatin-mauro-ardissono-promotinggreenfashionconsumptionthroughdigitalnudgesinrecommendersystems-2024', 'http://www.di.unito.it/~mauro/publications/2024_IEEE_Fashion.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Promoting Green Fashion Consumption Through Digital Nudges in Recommender Systems [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1109/ACCESS.2024.3349710\"\n     onclick=\"log_download('cossatin-mauro-ardissono-promotinggreenfashionconsumptionthroughdigitalnudgesinrecommendersystems-2024', 'http://doi.org/10.1109/ACCESS.2024.3349710', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/cossatin-mauro-ardissono-promotinggreenfashionconsumptionthroughdigitalnudgesinrecommendersystems-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('cossatin-mauro-ardissono-promotinggreenfashionconsumptionthroughdigitalnudgesinrecommendersystems-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{Geninatti-etal:24,\r\n  author={Cossatin, Angelo Geninatti and Mauro, Noemi and Ardissono, Liliana},\r\n  journal={IEEE Access}, \r\n  title={Promoting Green Fashion Consumption Through Digital Nudges in Recommender Systems}, \r\n  year={2024},\r\n  volume={12},\r\n  number={},\r\n  pages={6812-6829},\r\n  keywords={Green products;Image color analysis;Standards;Ethics;Sustainable development;Recommender systems;Clothing industry;Digital nudging;recommender systems;sustainable fashion consumption},\r\n  abstract={The fashion industry accounts for a relevant portion of the environmental impact of EU consumption. Moreover, the expansion of fast fashion raises further concerns about the well-being of the people and animals involved in its production. Increasing the purchase of green clothes (i.e., sustainable garments that have been produced by brands conforming to good ethical standards) is thus key to the reduction of fashion’s environmental and social footprint. In this paper, we investigate digital nudges to promote the selection of green clothes in online catalogs. For this purpose, we propose a recommender system that combines the personalized suggestion of new and second-hand garments with the presentation of sustainability and ethical standards data to favor item comparison and support responsible selection decisions. This is different from standard recommender systems, which suggest homogeneous products, either new or second-hand. Moreover, it is challenged by the tendency to buy new products observed in the literature about clothing consumption. In a user study involving 251 participants, we found that enhancing clothes recommendations with 1) sentences that promote second-hand garments and 2) visual labels that summarize items’ sustainability and brands’ ethical standards, sensibly reduced this tendency. Moreover, it induced some people to take the sustainability of products into account in their selection decisions. However, participants’ interest in brands’ ethical standards seemed to be secondary, especially regarding respect for animals. This finding reveals a need to enhance people’s awareness and sensitivity on this topic. Even though more work is needed to increase green, and especially ethical fashion consumption, our findings suggest the adoption of nudges in clothes recommender systems to enhance user awareness about items, their sustainability, and their social impact.},\r\n  doi={10.1109/ACCESS.2024.3349710},\r\n  url_Link = {https://ieeexplore.ieee.org/abstract/document/10380588},\r\n  url_Paper = {2024_IEEE_Fashion.pdf},\r\n} \r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  The fashion industry accounts for a relevant portion of the environmental impact of EU consumption. Moreover, the expansion of fast fashion raises further concerns about the well-being of the people and animals involved in its production. Increasing the purchase of green clothes (i.e., sustainable garments that have been produced by brands conforming to good ethical standards) is thus key to the reduction of fashion’s environmental and social footprint. In this paper, we investigate digital nudges to promote the selection of green clothes in online catalogs. For this purpose, we propose a recommender system that combines the personalized suggestion of new and second-hand garments with the presentation of sustainability and ethical standards data to favor item comparison and support responsible selection decisions. This is different from standard recommender systems, which suggest homogeneous products, either new or second-hand. Moreover, it is challenged by the tendency to buy new products observed in the literature about clothing consumption. In a user study involving 251 participants, we found that enhancing clothes recommendations with 1) sentences that promote second-hand garments and 2) visual labels that summarize items’ sustainability and brands’ ethical standards, sensibly reduced this tendency. Moreover, it induced some people to take the sustainability of products into account in their selection decisions. However, participants’ interest in brands’ ethical standards seemed to be secondary, especially regarding respect for animals. This finding reveals a need to enhance people’s awareness and sensitivity on this topic. Even though more work is needed to increase green, and especially ethical fashion consumption, our findings suggest the adoption of nudges in clothes recommender systems to enhance user awareness about items, their sustainability, and their social impact.\n</div>\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2023\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2023')\"\n      onkeypress=\"toggleGroup('group_2023')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2023</span>\n      <span class=\"bibbase_group_count\">\n        \n        (12)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"mauro-ardissono-cena-scarpinati-torta-anintelligentsupportsystemtohelpteachersplanfieldtrips-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2023_IJAIE_Teachers.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'mauro-ardissono-cena-scarpinati-torta-anintelligentsupportsystemtohelpteachersplanfieldtrips-2023', 'http://www.di.unito.it/~mauro/publications/2023_IJAIE_Teachers.pdf', event);\">\n    An Intelligent Support System to Help Teachers Plan Field Trips.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>; Ardissono, L.; Cena, F.; Scarpinati, L.;  and Torta, G.\n</span>\n\n  \n\n</span>\n\n  <i>International Journal of Artificial Intelligence in Education</i>,1–32.  2023.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://link.springer.com/article/10.1007/s40593-023-00366-x\"\n     onclick=\"log_download('mauro-ardissono-cena-scarpinati-torta-anintelligentsupportsystemtohelpteachersplanfieldtrips-2023', 'https://link.springer.com/article/10.1007/s40593-023-00366-x', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"An Intelligent Support System to Help Teachers Plan Field Trips [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2023_IJAIE_Teachers.pdf\"\n     onclick=\"log_download('mauro-ardissono-cena-scarpinati-torta-anintelligentsupportsystemtohelpteachersplanfieldtrips-2023', 'http://www.di.unito.it/~mauro/publications/2023_IJAIE_Teachers.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"An Intelligent Support System to Help Teachers Plan Field Trips [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1007/s40593-023-00366-x\"\n     onclick=\"log_download('mauro-ardissono-cena-scarpinati-torta-anintelligentsupportsystemtohelpteachersplanfieldtrips-2023', 'http://doi.org/10.1007/s40593-023-00366-x', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mauro-ardissono-cena-scarpinati-torta-anintelligentsupportsystemtohelpteachersplanfieldtrips-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mauro-ardissono-cena-scarpinati-torta-anintelligentsupportsystemtohelpteachersplanfieldtrips-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{Mauro-etal:23b,  \r\ntitle={An Intelligent Support System to Help Teachers Plan Field Trips},\r\nauthor={Mauro, Noemi and Ardissono, Liliana and Cena, Federica\r\nand Scarpinati, Livio and Torta, Gianluca},\r\njournal={International Journal of Artificial Intelligence in Education},\r\npages={1--32},\r\nyear={2023},\r\npublisher={Springer},\r\ndoi={10.1007/s40593-023-00366-x},\r\nabstract={Field trips enrich learning programs with out-of-school activities that can bring gains in students’ academic content knowledge and personal growth. However, they are a source of anxiety for teachers because of the bureaucracy, pedagogy, etc., risks they imply. To address this issue, we propose FieldTripOrganizer, a field trip planner based on the mixed-initiative approach aimed at increasing teachers’ autonomy and motivation in designing educational tours. The key aspects of our application are (i) the simultaneous provision of information filtering and automated scheduling support while the user designs the field trip, and (ii) the visual annotation of places and activities to show whether they can be included in the itinerary without violating its time constraints. Different from current tour planners, these functions enable the user to be in full control of the design process, delegating the system to manage difficult and burdensome tasks such as consistency checks and itinerary optimization. We evaluated FieldTripOrganizer in the use case of organizing a science field trip. In a preliminary user study involving 18 science teachers, our application turned up to be superior to a baseline tour planner in both usability and user experience. Moreover, the teachers declared that it was helpful, motivated them, and reduced their anxiety during the design of the field trips.},\r\nurl_Link = {https://link.springer.com/article/10.1007/s40593-023-00366-x},\r\nurl_Paper = {2023_IJAIE_Teachers.pdf},\r\n}\r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Field trips enrich learning programs with out-of-school activities that can bring gains in students’ academic content knowledge and personal growth. However, they are a source of anxiety for teachers because of the bureaucracy, pedagogy, etc., risks they imply. To address this issue, we propose FieldTripOrganizer, a field trip planner based on the mixed-initiative approach aimed at increasing teachers’ autonomy and motivation in designing educational tours. The key aspects of our application are (i) the simultaneous provision of information filtering and automated scheduling support while the user designs the field trip, and (ii) the visual annotation of places and activities to show whether they can be included in the itinerary without violating its time constraints. Different from current tour planners, these functions enable the user to be in full control of the design process, delegating the system to manage difficult and burdensome tasks such as consistency checks and itinerary optimization. We evaluated FieldTripOrganizer in the use case of organizing a science field trip. In a preliminary user study involving 18 science teachers, our application turned up to be superior to a baseline tour planner in both usability and user experience. Moreover, the teachers declared that it was helpful, motivated them, and reduced their anxiety during the design of the field trips.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"mauro-hu-ardissono-justificationofrecommendersystemsresultsaservicebasedapproach-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2023_UMUAI_Justification.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'mauro-hu-ardissono-justificationofrecommendersystemsresultsaservicebasedapproach-2023', 'http://www.di.unito.it/~mauro/publications/2023_UMUAI_Justification.pdf', event);\">\n    Justification of Recommender Systems Results: a Service-based Approach.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>; Hu, Z. F.;  and Ardissono, L.\n</span>\n\n  \n\n</span>\n\n  <i>User Modeling and User-Adapted Interaction</i>,643–685.  2023.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://link.springer.com/article/10.1007/s11257-022-09345-8\"\n     onclick=\"log_download('mauro-hu-ardissono-justificationofrecommendersystemsresultsaservicebasedapproach-2023', 'https://link.springer.com/article/10.1007/s11257-022-09345-8', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Justification of Recommender Systems Results: a Service-based Approach [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2023_UMUAI_Justification.pdf\"\n     onclick=\"log_download('mauro-hu-ardissono-justificationofrecommendersystemsresultsaservicebasedapproach-2023', 'http://www.di.unito.it/~mauro/publications/2023_UMUAI_Justification.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Justification of Recommender Systems Results: a Service-based Approach [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1007/s11257-022-09345-8\"\n     onclick=\"log_download('mauro-hu-ardissono-justificationofrecommendersystemsresultsaservicebasedapproach-2023', 'http://doi.org/10.1007/s11257-022-09345-8', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mauro-hu-ardissono-justificationofrecommendersystemsresultsaservicebasedapproach-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mauro-hu-ardissono-justificationofrecommendersystemsresultsaservicebasedapproach-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{Mauro-etal:23c,  \r\ntitle={Justification of Recommender Systems Results: a Service-based Approach},\r\nauthor={Mauro, Noemi and Hu, Zhongli Filippo and Ardissono, Liliana},\r\njournal={User Modeling and User-Adapted Interaction},\r\npages={643–685},\r\nyear={2023},\r\nissue={33},\r\npublisher={Springer},\r\ndoi={10.1007/s11257-022-09345-8},\r\nabstract={With the increasing demand for predictable and accountable Artificial Intelligence, the ability to explain or justify recommender systems results by specifying how items are suggested, or why they are relevant, has become a primary goal. However, current models do not explicitly represent the services and actors that the user might encounter during the overall interaction with an item, from its selection to its usage. Thus, they cannot assess their impact on the user’s experience. To address this issue, we propose a novel justification approach that uses service models to (i) extract experience data from reviews concerning all the stages of interaction with items, at different granularity levels, and (ii) organize the justification of recommendations around those stages. In a user study, we compared our approach with baselines reflecting the state of the art in the justification of recommender systems results. The participants evaluated the Perceived User Awareness Support provided by our service-based justification models higher than the one offered by the baselines. Moreover, our models received higher Interface Adequacy and Satisfaction evaluations by users having different levels of Curiosity or low Need for Cognition (NfC). Differently, high NfC participants preferred a direct inspection of item reviews. These findings encourage the adoption of service models to justify recommender systems results but suggest the investigation of personalization strategies to suit diverse interaction needs.},\r\nurl_Link = {https://link.springer.com/article/10.1007/s11257-022-09345-8},\r\nurl_Paper = {2023_UMUAI_Justification.pdf},\r\n}\r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  With the increasing demand for predictable and accountable Artificial Intelligence, the ability to explain or justify recommender systems results by specifying how items are suggested, or why they are relevant, has become a primary goal. However, current models do not explicitly represent the services and actors that the user might encounter during the overall interaction with an item, from its selection to its usage. Thus, they cannot assess their impact on the user’s experience. To address this issue, we propose a novel justification approach that uses service models to (i) extract experience data from reviews concerning all the stages of interaction with items, at different granularity levels, and (ii) organize the justification of recommendations around those stages. In a user study, we compared our approach with baselines reflecting the state of the art in the justification of recommender systems results. The participants evaluated the Perceived User Awareness Support provided by our service-based justification models higher than the one offered by the baselines. Moreover, our models received higher Interface Adequacy and Satisfaction evaluations by users having different levels of Curiosity or low Need for Cognition (NfC). Differently, high NfC participants preferred a direct inspection of item reviews. These findings encourage the adoption of service models to justify recommender systems results but suggest the investigation of personalization strategies to suit diverse interaction needs.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"cena-mauro-rapp-howdosensoryfeaturesofplacesimpactonspatialexplorationofpeoplewithautismauserstudy-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2023_ITT_Autism.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'cena-mauro-rapp-howdosensoryfeaturesofplacesimpactonspatialexplorationofpeoplewithautismauserstudy-2023', 'http://www.di.unito.it/~mauro/publications/2023_ITT_Autism.pdf', event);\">\n    How Do Sensory Features of Places Impact on Spatial Exploration of People with Autism? A User Study.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Cena, F.; <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>;  and Rapp, A.\n</span>\n\n  \n\n</span>\n\n  <i>Information Technology & Tourism</i>,1–28.  2023.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://link.springer.com/article/10.1007/s40558-023-00244-1\"\n     onclick=\"log_download('cena-mauro-rapp-howdosensoryfeaturesofplacesimpactonspatialexplorationofpeoplewithautismauserstudy-2023', 'https://link.springer.com/article/10.1007/s40558-023-00244-1', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"How Do Sensory Features of Places Impact on Spatial Exploration of People with Autism? A User Study [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2023_ITT_Autism.pdf\"\n     onclick=\"log_download('cena-mauro-rapp-howdosensoryfeaturesofplacesimpactonspatialexplorationofpeoplewithautismauserstudy-2023', 'http://www.di.unito.it/~mauro/publications/2023_ITT_Autism.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"How Do Sensory Features of Places Impact on Spatial Exploration of People with Autism? A User Study [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1007/s40558-023-00244-1\"\n     onclick=\"log_download('cena-mauro-rapp-howdosensoryfeaturesofplacesimpactonspatialexplorationofpeoplewithautismauserstudy-2023', 'http://doi.org/10.1007/s40558-023-00244-1', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/cena-mauro-rapp-howdosensoryfeaturesofplacesimpactonspatialexplorationofpeoplewithautismauserstudy-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('cena-mauro-rapp-howdosensoryfeaturesofplacesimpactonspatialexplorationofpeoplewithautismauserstudy-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{Cena-etal:23,  \r\ntitle={How Do Sensory Features of Places Impact on Spatial Exploration of People with Autism? A User Study},\r\nauthor={Cena, Federica and Mauro, Noemi and Rapp, Amon},\r\njournal={Information Technology &amp; Tourism},\r\npages={1--28},\r\nyear={2023},\r\npublisher={Springer},\r\ndoi={10.1007/s40558-023-00244-1},\r\nabstract={Autism is characterized by peculiar sensory processing. The sensory features of a place may have a crucial impact on the decision a person with autism makes when choosing what to visit in a tourist experience. We present a map-based mobile app, conceived for people with mid to high-functioning autism, which exploits sensory features of places to filter the information displayed and suggest locations that may be suitable for their idiosyncratic needs. The mobile app also exploits the crowdmapping paradigm in order to gather these features from the community of users, since they are not publicly available. We describe the results of a composite user evaluation of the app, made up of a task experiment, a field study, and an online questionnaire, which aims to understand (i) whether the explicit presentation of sensory information impacts the decision of going to a specific place, (ii) if the crowdmapping functionality is used and how and (iii) how people with autism navigate the mobile app. The results confirm the importance of the sensory features for people with autism in the decision to go to a specific place. Moreover, they show that crowdmapping may be a good solution to collect such features, but should be integrated with other methods. Finally, the results show that the preferred modality of exploring information about places is by using the map.},\r\nurl_Link = {https://link.springer.com/article/10.1007/s40558-023-00244-1},\r\nurl_Paper = {2023_ITT_Autism.pdf},\r\n}\r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Autism is characterized by peculiar sensory processing. The sensory features of a place may have a crucial impact on the decision a person with autism makes when choosing what to visit in a tourist experience. We present a map-based mobile app, conceived for people with mid to high-functioning autism, which exploits sensory features of places to filter the information displayed and suggest locations that may be suitable for their idiosyncratic needs. The mobile app also exploits the crowdmapping paradigm in order to gather these features from the community of users, since they are not publicly available. We describe the results of a composite user evaluation of the app, made up of a task experiment, a field study, and an online questionnaire, which aims to understand (i) whether the explicit presentation of sensory information impacts the decision of going to a specific place, (ii) if the crowdmapping functionality is used and how and (iii) how people with autism navigate the mobile app. The results confirm the importance of the sensory features for people with autism in the decision to go to a specific place. Moreover, they show that crowdmapping may be a good solution to collect such features, but should be integrated with other methods. Finally, the results show that the preferred modality of exploring information about places is by using the map.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"cossatin-mauro-ardissono-enrichingrecommendersystemsresultswithdataaboutsustainabilityandethicalstandardsofbrands-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2023_WI_Fashion.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'cossatin-mauro-ardissono-enrichingrecommendersystemsresultswithdataaboutsustainabilityandethicalstandardsofbrands-2023', 'http://www.di.unito.it/~mauro/publications/2023_WI_Fashion.pdf', event);\">\n    Enriching Recommender Systems Results with Data about Sustainability and Ethical Standards of Brands.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Cossatin, A. G.; <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>;  and Ardissono, L.\n</span>\n\n  \n\n</span>\n\n  In <i>2023 IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)</i>, pages 238-242,  2023. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://ieeexplore.ieee.org/abstract/document/10350100\"\n     onclick=\"log_download('cossatin-mauro-ardissono-enrichingrecommendersystemsresultswithdataaboutsustainabilityandethicalstandardsofbrands-2023', 'https://ieeexplore.ieee.org/abstract/document/10350100', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Enriching Recommender Systems Results with Data about Sustainability and Ethical Standards of Brands [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2023_WI_Fashion.pdf\"\n     onclick=\"log_download('cossatin-mauro-ardissono-enrichingrecommendersystemsresultswithdataaboutsustainabilityandethicalstandardsofbrands-2023', 'http://www.di.unito.it/~mauro/publications/2023_WI_Fashion.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Enriching Recommender Systems Results with Data about Sustainability and Ethical Standards of Brands [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1109/WI-IAT59888.2023.00037\"\n     onclick=\"log_download('cossatin-mauro-ardissono-enrichingrecommendersystemsresultswithdataaboutsustainabilityandethicalstandardsofbrands-2023', 'http://doi.org/10.1109/WI-IAT59888.2023.00037', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/cossatin-mauro-ardissono-enrichingrecommendersystemsresultswithdataaboutsustainabilityandethicalstandardsofbrands-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('cossatin-mauro-ardissono-enrichingrecommendersystemsresultswithdataaboutsustainabilityandethicalstandardsofbrands-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@INPROCEEDINGS{Geninatti:23,\r\n  author={Cossatin, Angelo Geninatti and Mauro, Noemi and Ardissono, Liliana},\r\n  booktitle={2023 IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)}, \r\n  title={Enriching Recommender Systems Results with Data about Sustainability and Ethical Standards of Brands}, \r\n  year={2023},\r\n  volume={},\r\n  number={},\r\n  pages={238-242},\r\n  keywords={Ethics;Green products;User interfaces;Behavioral sciences;Synchronization;Intelligent agents;Sustainable development;multi-list user interfaces;sustainability;fashion;human-centric computing and services},\r\n  abstract={In recommender systems research, not only user preferences but also the sustainability and ethical standards of the services underlying item fruition should be considered to promote virtuous selection decisions. We analyze user interfaces that guide item comparison taking these evaluation criteria into account and we test a synchronized multi-list aimed at raising users&#x27; awareness about items by enabling them to (i) sort items according to different evaluation criteria, and (ii) simultaneously view the overall evaluation of an item and its ranking in each criterion. A user study in the fashion domain has shown that the presentation of data about environmental sustainability and ethical standards induces virtuous selection behavior and that participants are more confident in their selections when using our synchronized multi-list user interface than with single-lists.},\r\n  doi={10.1109/WI-IAT59888.2023.00037},\r\n  url_Link = {https://ieeexplore.ieee.org/abstract/document/10350100},\r\n  url_Paper = {2023_WI_Fashion.pdf},\r\n  }\r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  In recommender systems research, not only user preferences but also the sustainability and ethical standards of the services underlying item fruition should be considered to promote virtuous selection decisions. We analyze user interfaces that guide item comparison taking these evaluation criteria into account and we test a synchronized multi-list aimed at raising users' awareness about items by enabling them to (i) sort items according to different evaluation criteria, and (ii) simultaneously view the overall evaluation of an item and its ranking in each criterion. A user study in the fashion domain has shown that the presentation of data about environmental sustainability and ethical standards induces virtuous selection behavior and that participants are more confident in their selections when using our synchronized multi-list user interface than with single-lists.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"filippohu-mauro-ardissono-imagebasedinformationfilteringtocompareandselectitems-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2023_WI_Airbnb.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'filippohu-mauro-ardissono-imagebasedinformationfilteringtocompareandselectitems-2023', 'http://www.di.unito.it/~mauro/publications/2023_WI_Airbnb.pdf', event);\">\n    Image-Based Information Filtering to Compare and Select Items.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Filippo Hu, Z.; <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>;  and Ardissono, L.\n</span>\n\n  \n\n</span>\n\n  In <i>2023 IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)</i>, pages 1-8,  2023. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://ieeexplore.ieee.org/abstract/document/10350174\"\n     onclick=\"log_download('filippohu-mauro-ardissono-imagebasedinformationfilteringtocompareandselectitems-2023', 'https://ieeexplore.ieee.org/abstract/document/10350174', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Image-Based Information Filtering to Compare and Select Items [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2023_WI_Airbnb.pdf\"\n     onclick=\"log_download('filippohu-mauro-ardissono-imagebasedinformationfilteringtocompareandselectitems-2023', 'http://www.di.unito.it/~mauro/publications/2023_WI_Airbnb.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Image-Based Information Filtering to Compare and Select Items [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1109/WI-IAT59888.2023.00007\"\n     onclick=\"log_download('filippohu-mauro-ardissono-imagebasedinformationfilteringtocompareandselectitems-2023', 'http://doi.org/10.1109/WI-IAT59888.2023.00007', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/filippohu-mauro-ardissono-imagebasedinformationfilteringtocompareandselectitems-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('filippohu-mauro-ardissono-imagebasedinformationfilteringtocompareandselectitems-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@INPROCEEDINGS{Hu-etal:23,\r\n  author={Filippo Hu, Zhongli and Mauro, Noemi and Ardissono, Liliana},\r\n  booktitle={2023 IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)}, \r\n  title={Image-Based Information Filtering to Compare and Select Items}, \r\n  year={2023},\r\n  volume={},\r\n  number={},\r\n  pages={1-8},\r\n  keywords={Visualization;Image recognition;Focusing;User interfaces;Metadata;Information filters;Information filtering;review-based recommender systems;information filtering;human-centric computing and services},\r\n  doi={10.1109/WI-IAT59888.2023.00007},\r\n  abstract={Current recommender systems overlook the role of images in conveying information about items, focusing on metadata, ratings, and reviews for the generation and presentation of the suggestion lists. However, images describe different aspects of an item, which might be used to steer its presentation to satisfy specific information needs. We propose two user interfaces for image-based information filtering that support item exploration and comparison by analyzing the scenes described by the images, or the objects recognized in them. In a user test in the home-booking domain, we found that participants preferred scene-based information filtering to object-based and traditional visualization of items and reviews in product catalogs.},\r\n  url_Link = {https://ieeexplore.ieee.org/abstract/document/10350174},\r\n  url_Paper = {2023_WI_Airbnb.pdf},\r\n  }\r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Current recommender systems overlook the role of images in conveying information about items, focusing on metadata, ratings, and reviews for the generation and presentation of the suggestion lists. However, images describe different aspects of an item, which might be used to steer its presentation to satisfy specific information needs. We propose two user interfaces for image-based information filtering that support item exploration and comparison by analyzing the scenes described by the images, or the objects recognized in them. In a user test in the home-booking domain, we found that participants preferred scene-based information filtering to object-based and traditional visualization of items and reviews in product catalogs.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"hu-mauro-petrone-ardissono-servicebasedpresentationofmultimodalinformationforthejustificationofrecommendersystemsresults-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2023_UMAP_Airbnb.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'hu-mauro-petrone-ardissono-servicebasedpresentationofmultimodalinformationforthejustificationofrecommendersystemsresults-2023', 'http://www.di.unito.it/~mauro/publications/2023_UMAP_Airbnb.pdf', event);\">\n    Service-based Presentation of Multimodal Information for the Justification of Recommender Systems Results.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Hu, Z. F.; <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>; Petrone, G.;  and Ardissono, L.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization</i>, of <i>UMAP '23</i>, pages 46–53, New York, NY, USA,  2023. Association for Computing Machinery\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://dl.acm.org/doi/abs/10.1145/3565472.3592962\"\n     onclick=\"log_download('hu-mauro-petrone-ardissono-servicebasedpresentationofmultimodalinformationforthejustificationofrecommendersystemsresults-2023', 'https://dl.acm.org/doi/abs/10.1145/3565472.3592962', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Service-based Presentation of Multimodal Information for the Justification of Recommender Systems Results [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2023_UMAP_Airbnb.pdf\"\n     onclick=\"log_download('hu-mauro-petrone-ardissono-servicebasedpresentationofmultimodalinformationforthejustificationofrecommendersystemsresults-2023', 'http://www.di.unito.it/~mauro/publications/2023_UMAP_Airbnb.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Service-based Presentation of Multimodal Information for the Justification of Recommender Systems Results [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1145/3565472.3592962\"\n     onclick=\"log_download('hu-mauro-petrone-ardissono-servicebasedpresentationofmultimodalinformationforthejustificationofrecommendersystemsresults-2023', 'http://doi.org/10.1145/3565472.3592962', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/hu-mauro-petrone-ardissono-servicebasedpresentationofmultimodalinformationforthejustificationofrecommendersystemsresults-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('hu-mauro-petrone-ardissono-servicebasedpresentationofmultimodalinformationforthejustificationofrecommendersystemsresults-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{Hu-etal:23b,\r\nauthor = {Hu, Zhongli Filippo and Mauro, Noemi and Petrone, Giovanna and Ardissono, Liliana},\r\ntitle = {Service-based Presentation of Multimodal Information for the Justification of Recommender Systems Results},\r\nyear = {2023},\r\nisbn = {9781450399326},\r\npublisher = {Association for Computing Machinery},\r\naddress = {New York, NY, USA},\r\ndoi = {10.1145/3565472.3592962},\r\nabstract = {The current models for the explanation and justification of recommender systems results focus on qualitative and quantitative data about items, overlooking the power of images to describe the different aspects of experience that the consumer should expect from their selection to post-sales. In the present paper, we extend previous justification models by exploiting object recognition on images to support a service-oriented presentation of multimodal (textual, quantitative, and images) information about items. As a testbed for our model, we chose the home-booking domain. In a user study, we found that item comparison can be enhanced by empowering the user to filter multimodal data based on a set of evaluation dimensions describing the experience with items. These results encourage the introduction of service-based filters for multimodal information retrieval in product and service catalogs.},\r\nbooktitle = {Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization},\r\npages = {46–53},\r\nnumpages = {8},\r\nkeywords = {Images, Justification of Recommender Systems Results, Service Models},\r\nlocation = {Limassol, Cyprus},\r\nseries = {UMAP &#x27;23},\r\nurl_Link = {https://dl.acm.org/doi/abs/10.1145/3565472.3592962},\r\nurl_Paper = {2023_UMAP_Airbnb.pdf},\r\n}\r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  The current models for the explanation and justification of recommender systems results focus on qualitative and quantitative data about items, overlooking the power of images to describe the different aspects of experience that the consumer should expect from their selection to post-sales. In the present paper, we extend previous justification models by exploiting object recognition on images to support a service-oriented presentation of multimodal (textual, quantitative, and images) information about items. As a testbed for our model, we chose the home-booking domain. In a user study, we found that item comparison can be enhanced by empowering the user to filter multimodal data based on a set of evaluation dimensions describing the experience with items. These results encourage the introduction of service-based filters for multimodal information retrieval in product and service catalogs.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"ardissono-bona-concilio-cravero-ferraris-ferrero-geninatticossatin-giardino-etal-demothetriangolazionimobileguideforexploringtheinterconnectionsbetweenscienceartandterritory-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2023_CHITALY_Triangolazioni.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'ardissono-bona-concilio-cravero-ferraris-ferrero-geninatticossatin-giardino-etal-demothetriangolazionimobileguideforexploringtheinterconnectionsbetweenscienceartandterritory-2023', 'http://www.di.unito.it/~mauro/publications/2023_CHITALY_Triangolazioni.pdf', event);\">\n    Demo: the Triangolazioni Mobile Guide for Exploring the Interconnections between Science, Art and Territory.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Ardissono, L.; Bona, F.; Concilio, C.; Cravero, E.; Ferraris, S.; Ferrero, F.; Geninatti Cossatin, A.; Giardino, M.; Magnano, G.; Mattutino, C.;  and <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 15th Biannual Conference of the Italian SIGCHI Chapter</i>, of <i>CHItaly '23</i>, New York, NY, USA,  2023. Association for Computing Machinery\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1145/3605390.3610808\"\n     onclick=\"log_download('ardissono-bona-concilio-cravero-ferraris-ferrero-geninatticossatin-giardino-etal-demothetriangolazionimobileguideforexploringtheinterconnectionsbetweenscienceartandterritory-2023', 'https://doi.org/10.1145/3605390.3610808', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Demo: the Triangolazioni Mobile Guide for Exploring the Interconnections between Science, Art and Territory [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n  <a href=\"https://dl.acm.org/doi/abs/10.1145/3605390.3610808\"\n     onclick=\"log_download('ardissono-bona-concilio-cravero-ferraris-ferrero-geninatticossatin-giardino-etal-demothetriangolazionimobileguideforexploringtheinterconnectionsbetweenscienceartandterritory-2023', 'https://dl.acm.org/doi/abs/10.1145/3605390.3610808', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Demo: the Triangolazioni Mobile Guide for Exploring the Interconnections between Science, Art and Territory [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2023_CHITALY_Triangolazioni.pdf\"\n     onclick=\"log_download('ardissono-bona-concilio-cravero-ferraris-ferrero-geninatticossatin-giardino-etal-demothetriangolazionimobileguideforexploringtheinterconnectionsbetweenscienceartandterritory-2023', 'http://www.di.unito.it/~mauro/publications/2023_CHITALY_Triangolazioni.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Demo: the Triangolazioni Mobile Guide for Exploring the Interconnections between Science, Art and Territory [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1145/3605390.3610808\"\n     onclick=\"log_download('ardissono-bona-concilio-cravero-ferraris-ferrero-geninatticossatin-giardino-etal-demothetriangolazionimobileguideforexploringtheinterconnectionsbetweenscienceartandterritory-2023', 'http://doi.org/10.1145/3605390.3610808', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ardissono-bona-concilio-cravero-ferraris-ferrero-geninatticossatin-giardino-etal-demothetriangolazionimobileguideforexploringtheinterconnectionsbetweenscienceartandterritory-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ardissono-bona-concilio-cravero-ferraris-ferrero-geninatticossatin-giardino-etal-demothetriangolazionimobileguideforexploringtheinterconnectionsbetweenscienceartandterritory-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{Ardissono-23,\r\nauthor = {Ardissono, Liliana and Bona, Francesca and Concilio, Carmelina and Cravero, Ester and Ferraris, Stefano and Ferrero, Fabio and Geninatti Cossatin, Angelo and Giardino, Marco and Magnano, Guido and Mattutino, Claudio and Mauro, Noemi},\r\ntitle = {Demo: the Triangolazioni Mobile Guide for Exploring the Interconnections between Science, Art and Territory},\r\nyear = {2023},\r\nisbn = {9798400708060},\r\npublisher = {Association for Computing Machinery},\r\naddress = {New York, NY, USA},\r\nurl = {https://doi.org/10.1145/3605390.3610808},\r\ndoi = {10.1145/3605390.3610808},\r\nabstract = {Most Cultural Heritage sites are immersed in parallel and interlaced stories about art, history, and science, which are typically presented as isolated narratives, providing a partial view of the richness of such places. To address this issue, the Triangolazioni project of the University of Torino has developed a mobile app that enables the customer to gain an overall view of these stories, and their interconnections, by hopping from one to the other, depending on her/his information interests. This demo paper presents the Triangolazioni mobile guide, which supports the thematic exploration of Points of Interest through the navigation, and the exploration of narratives based on their thematic similarity as well as on the Points of Interest they talk about.},\r\nbooktitle = {Proceedings of the 15th Biannual Conference of the Italian SIGCHI Chapter},\r\narticleno = {51},\r\nnumpages = {4},\r\nkeywords = {Cultural Heritage, location-based hypertext, mobile guides},\r\nseries = {CHItaly &#x27;23},\r\nurl_Link = {https://dl.acm.org/doi/abs/10.1145/3605390.3610808},\r\nurl_Paper = {2023_CHITALY_Triangolazioni.pdf},\r\n}\r\n\r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Most Cultural Heritage sites are immersed in parallel and interlaced stories about art, history, and science, which are typically presented as isolated narratives, providing a partial view of the richness of such places. To address this issue, the Triangolazioni project of the University of Torino has developed a mobile app that enables the customer to gain an overall view of these stories, and their interconnections, by hopping from one to the other, depending on her/his information interests. This demo paper presents the Triangolazioni mobile guide, which supports the thematic exploration of Points of Interest through the navigation, and the exploration of narratives based on their thematic similarity as well as on the Points of Interest they talk about.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"mauro-hu-petrone-segnan-mattutino-impactofusersculturalbackgroundonmultifacetedtrustbasedrecommendersystems-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://ceur-ws.org/Vol-3359/paper32.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'mauro-hu-petrone-segnan-mattutino-impactofusersculturalbackgroundonmultifacetedtrustbasedrecommendersystems-2023', 'https://ceur-ws.org/Vol-3359/paper32.pdf', event);\">\n    Impact of Users’ Cultural Background on Multi-faceted Trust-based Recommender Systems.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>; Hu, Z. F.; Petrone, G.; Segnan, M.;  and Mattutino, C.\n</span>\n\n  \n\n</span>\n\n  In <i>Joint Proceedings of the ACM IUI 2023 Workshops - Workshop on Social and Cultural Interaction with Personalized Interfaces (SOCIALIZE)</i>, volume 3359, of <i>CEUR Workshop Proceedings</i>,  2023. CEUR-WS.org\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://ceur-ws.org/Vol-3359/paper32.pdf\"\n     onclick=\"log_download('mauro-hu-petrone-segnan-mattutino-impactofusersculturalbackgroundonmultifacetedtrustbasedrecommendersystems-2023', 'https://ceur-ws.org/Vol-3359/paper32.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Impact of Users’ Cultural Background on Multi-faceted Trust-based Recommender Systems [pdf]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2023_SOCIALIZE_Trust.pdf\"\n     onclick=\"log_download('mauro-hu-petrone-segnan-mattutino-impactofusersculturalbackgroundonmultifacetedtrustbasedrecommendersystems-2023', 'http://www.di.unito.it/~mauro/publications/2023_SOCIALIZE_Trust.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Impact of Users’ Cultural Background on Multi-faceted Trust-based Recommender Systems [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/https://ceur-ws.org/Vol-3359/paper32.pdf\"\n     onclick=\"log_download('mauro-hu-petrone-segnan-mattutino-impactofusersculturalbackgroundonmultifacetedtrustbasedrecommendersystems-2023', 'http://doi.org/https://ceur-ws.org/Vol-3359/paper32.pdf', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mauro-hu-petrone-segnan-mattutino-impactofusersculturalbackgroundonmultifacetedtrustbasedrecommendersystems-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mauro-hu-petrone-segnan-mattutino-impactofusersculturalbackgroundonmultifacetedtrustbasedrecommendersystems-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{Mauro:23b,\r\n  author = {Noemi Mauro and Zhongli Filippo Hu and Giovanna Petrone and Marino Segnan and Claudio Mattutino},\r\n  title = {Impact of Users’ Cultural Background on Multi-faceted Trust-based Recommender Systems},\r\n  year = {2023},\r\n  booktitle = {Joint Proceedings of the ACM IUI 2023 Workshops - Workshop on Social and Cultural Interaction with Personalized Interfaces (SOCIALIZE)},\r\n  series    = {{CEUR} Workshop Proceedings},\r\n  volume    = {3359},\r\n  publisher = {CEUR-WS.org},\r\n  url_Link       = {https://ceur-ws.org/Vol-3359/paper32.pdf},\r\n  url_Paper = {2023_SOCIALIZE_Trust.pdf},\r\n  doi       = {https://ceur-ws.org/Vol-3359/paper32.pdf},\r\n  keywords = {Multi-faceted Reputation Model, Trust-based Recommender Systems, Social Relations, Cultural Background of Users, Web\r\nsearching and information discovery, Recommender systems},\r\n  abstract = {Trust-based recommender systems usually overlook the cultural background of people when making suggestions. In this\r\npaper, we propose some strategies to include the home country of users in trust-based recommendation algorithms and we\r\naim to understand if this information can improve the recommender system performance.\r\n}\r\n}\r\n\r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Trust-based recommender systems usually overlook the cultural background of people when making suggestions. In this paper, we propose some strategies to include the home country of users in trust-based recommendation algorithms and we aim to understand if this information can improve the recommender system performance. \n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"geninatticossatin-mauro-izzi-ardissono-synchronizedmultilistuserinterfacesforfashioncatalogs-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2023_EXUM_Sustainability.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'geninatticossatin-mauro-izzi-ardissono-synchronizedmultilistuserinterfacesforfashioncatalogs-2023', 'http://www.di.unito.it/~mauro/publications/2023_EXUM_Sustainability.pdf', event);\">\n    Synchronized Multi-list User Interfaces for Fashion Catalogs.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Geninatti Cossatin, A.; <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>; Izzi, G.;  and Ardissono, L.\n</span>\n\n  \n\n</span>\n\n  In <i>Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization</i>, of <i>UMAP '23 Adjunct</i>, pages 224–228, New York, NY, USA,  2023. Association for Computing Machinery\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://dl.acm.org/doi/abs/10.1145/3563359.3597382\"\n     onclick=\"log_download('geninatticossatin-mauro-izzi-ardissono-synchronizedmultilistuserinterfacesforfashioncatalogs-2023', 'https://dl.acm.org/doi/abs/10.1145/3563359.3597382', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Synchronized Multi-list User Interfaces for Fashion Catalogs [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2023_EXUM_Sustainability.pdf\"\n     onclick=\"log_download('geninatticossatin-mauro-izzi-ardissono-synchronizedmultilistuserinterfacesforfashioncatalogs-2023', 'http://www.di.unito.it/~mauro/publications/2023_EXUM_Sustainability.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Synchronized Multi-list User Interfaces for Fashion Catalogs [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1145/3563359.3597382\"\n     onclick=\"log_download('geninatticossatin-mauro-izzi-ardissono-synchronizedmultilistuserinterfacesforfashioncatalogs-2023', 'http://doi.org/10.1145/3563359.3597382', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/geninatticossatin-mauro-izzi-ardissono-synchronizedmultilistuserinterfacesforfashioncatalogs-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('geninatticossatin-mauro-izzi-ardissono-synchronizedmultilistuserinterfacesforfashioncatalogs-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{Geninatti-23c,\r\nauthor = {Geninatti Cossatin, Angelo and Mauro, Noemi and Izzi, Gianmarco and Ardissono, Liliana},\r\ntitle = {Synchronized Multi-list User Interfaces for Fashion Catalogs},\r\nyear = {2023},\r\nisbn = {9781450398916},\r\npublisher = {Association for Computing Machinery},\r\naddress = {New York, NY, USA},\r\ndoi = {10.1145/3563359.3597382},\r\nabstract = {Several online catalogs use carousels to present thematic lists of products, based on different optimization criteria. While this makes it possible to search for items according to diverse relevance perspectives, it hardly supports an integrated evaluation, which is key to critical consuming behavior. To address this issue, we propose a synchronized multi-list model that (i) enriches item presentation by visualizing its evaluation and (ii) enables the user to simultaneously center the carousels of the multi-list on the item in her/his focus of attention, showing its ranking in each list. This type of visualization is aimed at enhancing the transparency of results by enabling the user to simultaneously compare products across all the evaluation criteria applied within the multi-list. As a testbed for our model, we selected fashion catalogs, with the aim of making users aware of clothes’ evaluation with respect to the sustainability and ethical issues concerning the production practices applied by their brands. In a preliminary user study, we analyzed users’ gaze behavior to reveal how people interact with the carousels of the multi-list for product comparison. The results show that people explored the position of items in all the carousels, following a pattern that differs from the top-left triangle observed in traditional multi-lists, and they selected items having a fairly good ranking, showing their interest in sustainability and ethical standards.},\r\nbooktitle = {Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization},\r\npages = {224–228},\r\nnumpages = {5},\r\nkeywords = {Environmental Sustainability, Ethics, Recommender Systems, Transparent User Interfaces},\r\nlocation = {Limassol, Cyprus},\r\nseries = {UMAP &#x27;23 Adjunct},\r\n  url_Link = {https://dl.acm.org/doi/abs/10.1145/3563359.3597382},\r\n  url_Paper = {2023_EXUM_Sustainability.pdf},\r\n}\r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Several online catalogs use carousels to present thematic lists of products, based on different optimization criteria. While this makes it possible to search for items according to diverse relevance perspectives, it hardly supports an integrated evaluation, which is key to critical consuming behavior. To address this issue, we propose a synchronized multi-list model that (i) enriches item presentation by visualizing its evaluation and (ii) enables the user to simultaneously center the carousels of the multi-list on the item in her/his focus of attention, showing its ranking in each list. This type of visualization is aimed at enhancing the transparency of results by enabling the user to simultaneously compare products across all the evaluation criteria applied within the multi-list. As a testbed for our model, we selected fashion catalogs, with the aim of making users aware of clothes’ evaluation with respect to the sustainability and ethical issues concerning the production practices applied by their brands. In a preliminary user study, we analyzed users’ gaze behavior to reveal how people interact with the carousels of the multi-list for product comparison. The results show that people explored the position of items in all the carousels, following a pattern that differs from the top-left triangle observed in traditional multi-lists, and they selected items having a fairly good ranking, showing their interest in sustainability and ethical standards.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"cena-mauro-ardissono-ferrero-ferrigno-rapp-mattutino-keller-caresaninclusivepersonalizedtouristicsystemforautism-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2023_PATCH_CARES.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'cena-mauro-ardissono-ferrero-ferrigno-rapp-mattutino-keller-caresaninclusivepersonalizedtouristicsystemforautism-2023', 'http://www.di.unito.it/~mauro/publications/2023_PATCH_CARES.pdf', event);\">\n    CARES: an Inclusive Personalized Touristic System for Autism.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Cena, F.; <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>; Ardissono, L.; Ferrero, F.; Ferrigno, S.; Rapp, A.; Mattutino, C.;  and Keller, R.\n</span>\n\n  \n\n</span>\n\n  In <i>Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization</i>, of <i>UMAP '23 Adjunct</i>, pages 363–366, New York, NY, USA,  2023. Association for Computing Machinery\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://dl.acm.org/doi/abs/10.1145/3563359.3596665\"\n     onclick=\"log_download('cena-mauro-ardissono-ferrero-ferrigno-rapp-mattutino-keller-caresaninclusivepersonalizedtouristicsystemforautism-2023', 'https://dl.acm.org/doi/abs/10.1145/3563359.3596665', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"CARES: an Inclusive Personalized Touristic System for Autism [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2023_PATCH_CARES.pdf\"\n     onclick=\"log_download('cena-mauro-ardissono-ferrero-ferrigno-rapp-mattutino-keller-caresaninclusivepersonalizedtouristicsystemforautism-2023', 'http://www.di.unito.it/~mauro/publications/2023_PATCH_CARES.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"CARES: an Inclusive Personalized Touristic System for Autism [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1145/3563359.3596665\"\n     onclick=\"log_download('cena-mauro-ardissono-ferrero-ferrigno-rapp-mattutino-keller-caresaninclusivepersonalizedtouristicsystemforautism-2023', 'http://doi.org/10.1145/3563359.3596665', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/cena-mauro-ardissono-ferrero-ferrigno-rapp-mattutino-keller-caresaninclusivepersonalizedtouristicsystemforautism-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('cena-mauro-ardissono-ferrero-ferrigno-rapp-mattutino-keller-caresaninclusivepersonalizedtouristicsystemforautism-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{Cena-etal:23b,\r\nauthor = {Cena, Federica and Mauro, Noemi and Ardissono, Liliana and Ferrero, Fabio and Ferrigno, Serena and Rapp, Amon and Mattutino, Claudio and Keller, Roberto},\r\ntitle = {CARES: an Inclusive Personalized Touristic System for Autism},\r\nyear = {2023},\r\nisbn = {9781450398916},\r\npublisher = {Association for Computing Machinery},\r\naddress = {New York, NY, USA},\r\ndoi = {10.1145/3563359.3596665},\r\nabstract = {People have different interests and cognitive capabilities that should be taken into account when developing technological support for cultural heritage exploration. In this project, we aim to help people with autism to plan a tourist trip by taking into account their interests and their cognitive skills. We plan to personalize the suggestion of touristic places and itineraries taking into account different types of constraints such as temporal and physical ones. Moreover, we aim to adapt the user interface of the system on the basis of the users’ capabilities to deliver the right information, using a proper visualization modality, avoiding information overload. In this way, people will be able to know in advance the plan for the trip and this would reduce their level of stress and anxiety. In this paper, we focus on the first stage of the project, i.e. the qualitative interviews we carried out together with the user requirements for our application.},\r\nbooktitle = {Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization},\r\npages = {363–366},\r\nnumpages = {4},\r\nkeywords = {Accessible Tourism, Autism, Mobile Guide},\r\nlocation = {Limassol, Cyprus},\r\nseries = {UMAP &#x27;23 Adjunct},\r\n  url_Link = {https://dl.acm.org/doi/abs/10.1145/3563359.3596665},\r\n  url_Paper = {2023_PATCH_CARES.pdf},\r\n}\r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  People have different interests and cognitive capabilities that should be taken into account when developing technological support for cultural heritage exploration. In this project, we aim to help people with autism to plan a tourist trip by taking into account their interests and their cognitive skills. We plan to personalize the suggestion of touristic places and itineraries taking into account different types of constraints such as temporal and physical ones. Moreover, we aim to adapt the user interface of the system on the basis of the users’ capabilities to deliver the right information, using a proper visualization modality, avoiding information overload. In this way, people will be able to know in advance the plan for the trip and this would reduce their level of stress and anxiety. In this paper, we focus on the first stage of the project, i.e. the qualitative interviews we carried out together with the user requirements for our application.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"ardissono-cena-mauro-palomba-parizia-perotti-scarpinati-torta-amobileappsupportingfieldtriporganizationfornaturalandculturalheritageexploration-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2023_PATCH_Openalplab.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'ardissono-cena-mauro-palomba-parizia-perotti-scarpinati-torta-amobileappsupportingfieldtriporganizationfornaturalandculturalheritageexploration-2023', 'http://www.di.unito.it/~mauro/publications/2023_PATCH_Openalplab.pdf', event);\">\n    A Mobile App Supporting Field Trip Organization for Natural and Cultural Heritage Exploration.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Ardissono, L.; Cena, F.; <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>; Palomba, M.; Parizia, F.; Perotti, L.; Scarpinati, L.;  and Torta, G.\n</span>\n\n  \n\n</span>\n\n  In <i>Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization</i>, of <i>UMAP '23 Adjunct</i>, pages 355–362, New York, NY, USA,  2023. Association for Computing Machinery\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://dl.acm.org/doi/abs/10.1145/3563359.3596669\"\n     onclick=\"log_download('ardissono-cena-mauro-palomba-parizia-perotti-scarpinati-torta-amobileappsupportingfieldtriporganizationfornaturalandculturalheritageexploration-2023', 'https://dl.acm.org/doi/abs/10.1145/3563359.3596669', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"A Mobile App Supporting Field Trip Organization for Natural and Cultural Heritage Exploration [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2023_PATCH_Openalplab.pdf\"\n     onclick=\"log_download('ardissono-cena-mauro-palomba-parizia-perotti-scarpinati-torta-amobileappsupportingfieldtriporganizationfornaturalandculturalheritageexploration-2023', 'http://www.di.unito.it/~mauro/publications/2023_PATCH_Openalplab.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"A Mobile App Supporting Field Trip Organization for Natural and Cultural Heritage Exploration [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1145/3563359.3596669\"\n     onclick=\"log_download('ardissono-cena-mauro-palomba-parizia-perotti-scarpinati-torta-amobileappsupportingfieldtriporganizationfornaturalandculturalheritageexploration-2023', 'http://doi.org/10.1145/3563359.3596669', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ardissono-cena-mauro-palomba-parizia-perotti-scarpinati-torta-amobileappsupportingfieldtriporganizationfornaturalandculturalheritageexploration-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ardissono-cena-mauro-palomba-parizia-perotti-scarpinati-torta-amobileappsupportingfieldtriporganizationfornaturalandculturalheritageexploration-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{Ardissono-etal:23c,\r\nauthor = {Ardissono, Liliana and Cena, Federica and Mauro, Noemi and Palomba, Mauro and Parizia, Francesco and Perotti, Luigi and Scarpinati, Livio and Torta, Gianluca},\r\ntitle = {A Mobile App Supporting Field Trip Organization for Natural and Cultural Heritage Exploration},\r\nyear = {2023},\r\nisbn = {9781450398916},\r\npublisher = {Association for Computing Machinery},\r\naddress = {New York, NY, USA},\r\ndoi = {10.1145/3563359.3596669},\r\nabstract = {Mobile tourist guides have great potential to promote Cultural and Natural Heritage but usually do this from a narrow perspective, such as a single exhibition or museum, failing to provide users with an integrated viewpoint of the resources available in a geographical area. The organization of tourist plans might thus be challenging because of the many information sources to be consulted. Current tourist guides also limit users’ freedom in building custom trips because they almost fully control the itinerary generation process. Moreover, they fail to recognize that cultural and scientific tours might include both the visit to places and the execution of activities aimed at deepening people’s experience through experimental work. This is a limitation, especially for the learning field, which recognizes the importance of practical activities in strengthening students’ knowledge and understanding. To address this issue, we developed the FieldTripOrganizer application as a model to create mobile tourist guides that support the design of plans suitable for cultural/scientific tourism. FieldTripOrganizer empowers users to design a trip by helping them select Points of Interest and activities that are relevant to the interests and knowledge background of the people who will participate in the tour. Moreover, it simultaneously provides information filtering, automated scheduling, and user-awareness support to let users compose the itinerary from scratch while being informed about the feasibility of the options that can be included without violating its time constraints. We exploited FieldTripOrganizer to present the Cultural and Natural resources provided by the Geodidalab scientific laboratory located in the area of Ivrea (Piedmont, Italy).},\r\nbooktitle = {Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization},\r\npages = {355–362},\r\nnumpages = {8},\r\nkeywords = {Natural Heritage, Field Trip Organization, Cultural Heritage},\r\nlocation = {Limassol, Cyprus},\r\nseries = {UMAP &#x27;23 Adjunct},\r\n  url_Link = {https://dl.acm.org/doi/abs/10.1145/3563359.3596669},\r\n  url_Paper = {2023_PATCH_Openalplab.pdf},\r\n}\r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Mobile tourist guides have great potential to promote Cultural and Natural Heritage but usually do this from a narrow perspective, such as a single exhibition or museum, failing to provide users with an integrated viewpoint of the resources available in a geographical area. The organization of tourist plans might thus be challenging because of the many information sources to be consulted. Current tourist guides also limit users’ freedom in building custom trips because they almost fully control the itinerary generation process. Moreover, they fail to recognize that cultural and scientific tours might include both the visit to places and the execution of activities aimed at deepening people’s experience through experimental work. This is a limitation, especially for the learning field, which recognizes the importance of practical activities in strengthening students’ knowledge and understanding. To address this issue, we developed the FieldTripOrganizer application as a model to create mobile tourist guides that support the design of plans suitable for cultural/scientific tourism. FieldTripOrganizer empowers users to design a trip by helping them select Points of Interest and activities that are relevant to the interests and knowledge background of the people who will participate in the tour. Moreover, it simultaneously provides information filtering, automated scheduling, and user-awareness support to let users compose the itinerary from scratch while being informed about the feasibility of the options that can be included without violating its time constraints. We exploited FieldTripOrganizer to present the Cultural and Natural resources provided by the Geodidalab scientific laboratory located in the area of Ivrea (Piedmont, Italy).\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"ardissono-mauro-petrelli-raptis-wecker-14thinternationalworkshoponpersonalizedaccesstoculturalheritagepatch2023-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2023_PATCH_Workshop_Summary.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'ardissono-mauro-petrelli-raptis-wecker-14thinternationalworkshoponpersonalizedaccesstoculturalheritagepatch2023-2023', 'http://www.di.unito.it/~mauro/publications/2023_PATCH_Workshop_Summary.pdf', event);\">\n    14th International Workshop on Personalized Access to Cultural Heritage (PATCH 2023).\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Ardissono, L.; <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>; Petrelli, D.; Raptis, G. E.;  and Wecker, A.\n</span>\n\n  \n\n</span>\n\n  In <i>Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization</i>, of <i>UMAP '23 Adjunct</i>, pages 352–354, New York, NY, USA,  2023. Association for Computing Machinery\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://dl.acm.org/doi/abs/10.1145/3563359.3595622\"\n     onclick=\"log_download('ardissono-mauro-petrelli-raptis-wecker-14thinternationalworkshoponpersonalizedaccesstoculturalheritagepatch2023-2023', 'https://dl.acm.org/doi/abs/10.1145/3563359.3595622', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"14th International Workshop on Personalized Access to Cultural Heritage (PATCH 2023) [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2023_PATCH_Workshop_Summary.pdf\"\n     onclick=\"log_download('ardissono-mauro-petrelli-raptis-wecker-14thinternationalworkshoponpersonalizedaccesstoculturalheritagepatch2023-2023', 'http://www.di.unito.it/~mauro/publications/2023_PATCH_Workshop_Summary.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"14th International Workshop on Personalized Access to Cultural Heritage (PATCH 2023) [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1145/3563359.3595622\"\n     onclick=\"log_download('ardissono-mauro-petrelli-raptis-wecker-14thinternationalworkshoponpersonalizedaccesstoculturalheritagepatch2023-2023', 'http://doi.org/10.1145/3563359.3595622', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ardissono-mauro-petrelli-raptis-wecker-14thinternationalworkshoponpersonalizedaccesstoculturalheritagepatch2023-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ardissono-mauro-petrelli-raptis-wecker-14thinternationalworkshoponpersonalizedaccesstoculturalheritagepatch2023-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{Ardissono-etal:23b,\r\nauthor = {Ardissono, Liliana and Mauro, Noemi and Petrelli, Daniela and Raptis, George E. and Wecker, Alan},\r\ntitle = {14th International Workshop on Personalized Access to Cultural Heritage (PATCH 2023)},\r\nyear = {2023},\r\nisbn = {9781450398916},\r\npublisher = {Association for Computing Machinery},\r\naddress = {New York, NY, USA},\r\ndoi = {10.1145/3563359.3595622},\r\nabstract = {Following the successful series of PATCH workshops, PATCH 2023 will again be the meeting point between state-of-the-art cultural heritage (CH) research and personalization research, focused on those using different types of technology, with emphasis on ubiquitous and adaptive scenarios, to enhance the personal experience in CH sites. The workshop is aimed at bringing together researchers and practitioners who are working on various aspects of cultural heritage and are interested in exploring the potential of state-of-the-art mobile and personalized technology (onsite as well as online) to enhance the CH visiting experience. The expected result of the workshop is a multidisciplinary research agenda that will inform future research directions and, hopefully, forge some research collaborations. This summary provides an overview of the papers that have been accepted for presentation at the workshop and for publication in its proceedings.},\r\nbooktitle = {Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization},\r\npages = {352–354},\r\nnumpages = {3},\r\nkeywords = {User Modeling., Personalization, Cultural Heritage},\r\nlocation = {Limassol, Cyprus},\r\nseries = {UMAP &#x27;23 Adjunct},\r\n  url_Link = {https://dl.acm.org/doi/abs/10.1145/3563359.3595622},\r\n  url_Paper = {2023_PATCH_Workshop_Summary.pdf},\r\n}\r\n\r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Following the successful series of PATCH workshops, PATCH 2023 will again be the meeting point between state-of-the-art cultural heritage (CH) research and personalization research, focused on those using different types of technology, with emphasis on ubiquitous and adaptive scenarios, to enhance the personal experience in CH sites. The workshop is aimed at bringing together researchers and practitioners who are working on various aspects of cultural heritage and are interested in exploring the potential of state-of-the-art mobile and personalized technology (onsite as well as online) to enhance the CH visiting experience. The expected result of the workshop is a multidisciplinary research agenda that will inform future research directions and, hopefully, forge some research collaborations. This summary provides an overview of the papers that have been accepted for presentation at the workshop and for publication in its proceedings.\n</div>\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2022\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2022')\"\n      onkeypress=\"toggleGroup('group_2022')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2022</span>\n      <span class=\"bibbase_group_count\">\n        \n        (6)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"mauro-ardissono-cocomazzi-cena-usingconsumerfeedbackfromlocationbasedservicesinpoirecommendersystemsforpeoplewithautism-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2022_ESWA_Autism.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'mauro-ardissono-cocomazzi-cena-usingconsumerfeedbackfromlocationbasedservicesinpoirecommendersystemsforpeoplewithautism-2022', 'http://www.di.unito.it/~mauro/publications/2022_ESWA_Autism.pdf', event);\">\n    Using Consumer Feedback from Location-based Services in PoI Recommender Systems for People with Autism.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>; Ardissono, L.; Cocomazzi, S.;  and Cena, F.\n</span>\n\n  \n\n</span>\n\n  <i>Expert Systems with Applications</i>, 199: 116972.  2022.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.sciencedirect.com/science/article/abs/pii/S0957417422003980\"\n     onclick=\"log_download('mauro-ardissono-cocomazzi-cena-usingconsumerfeedbackfromlocationbasedservicesinpoirecommendersystemsforpeoplewithautism-2022', 'https://www.sciencedirect.com/science/article/abs/pii/S0957417422003980', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Using Consumer Feedback from Location-based Services in PoI Recommender Systems for People with Autism [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2022_ESWA_Autism.pdf\"\n     onclick=\"log_download('mauro-ardissono-cocomazzi-cena-usingconsumerfeedbackfromlocationbasedservicesinpoirecommendersystemsforpeoplewithautism-2022', 'http://www.di.unito.it/~mauro/publications/2022_ESWA_Autism.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Using Consumer Feedback from Location-based Services in PoI Recommender Systems for People with Autism [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1016/j.eswa.2022.116972\"\n     onclick=\"log_download('mauro-ardissono-cocomazzi-cena-usingconsumerfeedbackfromlocationbasedservicesinpoirecommendersystemsforpeoplewithautism-2022', 'http://doi.org/10.1016/j.eswa.2022.116972', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mauro-ardissono-cocomazzi-cena-usingconsumerfeedbackfromlocationbasedservicesinpoirecommendersystemsforpeoplewithautism-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>2 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mauro-ardissono-cocomazzi-cena-usingconsumerfeedbackfromlocationbasedservicesinpoirecommendersystemsforpeoplewithautism-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{Mauro-etal:22b,  \r\ntitle = {Using Consumer Feedback from Location-based Services in PoI Recommender Systems for People with Autism},\r\njournal = {Expert Systems with Applications},\r\nvolume = {199},\r\npages = {116972},\r\nyear = {2022},\r\nissn = {0957-4174},\r\ndoi = {10.1016/j.eswa.2022.116972},\r\nauthor = {Noemi Mauro and Liliana Ardissono and Stefano Cocomazzi and Federica Cena},\r\nkeywords = {Sensory features from reviews, Autism, Recommender systems},\r\nabstract = {When suggesting Points of Interest (PoIs) to people with autism spectrum disorders, we must take into account that they have idiosyncratic sensory aversions to noise, brightness and other features that influence the way they perceive places. Therefore, recommender systems must deal with these aspects. However, the retrieval of sensory data about PoIs is a real challenge because most geographical information servers fail to provide this data. Moreover, ad-hoc crowdsourcing campaigns do not guarantee to cover large geographical areas and lack sustainability. Thus, we investigate the extraction of sensory data about places from the consumer feedback collected by location-based services, on which people spontaneously post reviews from all over the world. Specifically, we propose a model for the extraction of sensory data from the reviews about PoIs, and its integration in recommender systems to predict item ratings by considering both user preferences and compatibility information. We tested our approach with autistic and neurotypical people by integrating it into diverse recommendation algorithms. For the test, we used a dataset built in a crowdsourcing campaign and another one extracted from TripAdvisor reviews. The results show that the algorithms obtain the highest accuracy and ranking capability when using TripAdvisor data. Moreover, by jointly using these two datasets, the algorithms further improve their performance. These results encourage the use of consumer feedback as a reliable source of information about places in the development of inclusive recommender systems.},\r\nurl_Link = {https://www.sciencedirect.com/science/article/abs/pii/S0957417422003980},\r\nurl_Paper = {2022_ESWA_Autism.pdf},\r\n}\r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  When suggesting Points of Interest (PoIs) to people with autism spectrum disorders, we must take into account that they have idiosyncratic sensory aversions to noise, brightness and other features that influence the way they perceive places. Therefore, recommender systems must deal with these aspects. However, the retrieval of sensory data about PoIs is a real challenge because most geographical information servers fail to provide this data. Moreover, ad-hoc crowdsourcing campaigns do not guarantee to cover large geographical areas and lack sustainability. Thus, we investigate the extraction of sensory data about places from the consumer feedback collected by location-based services, on which people spontaneously post reviews from all over the world. Specifically, we propose a model for the extraction of sensory data from the reviews about PoIs, and its integration in recommender systems to predict item ratings by considering both user preferences and compatibility information. We tested our approach with autistic and neurotypical people by integrating it into diverse recommendation algorithms. For the test, we used a dataset built in a crowdsourcing campaign and another one extracted from TripAdvisor reviews. The results show that the algorithms obtain the highest accuracy and ranking capability when using TripAdvisor data. Moreover, by jointly using these two datasets, the algorithms further improve their performance. These results encourage the use of consumer feedback as a reliable source of information about places in the development of inclusive recommender systems.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"mauro-hu-ardissono-serviceawarepersonalizeditemrecommendation-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2022_IEEE_Access_Service.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'mauro-hu-ardissono-serviceawarepersonalizeditemrecommendation-2022', 'http://www.di.unito.it/~mauro/publications/2022_IEEE_Access_Service.pdf', event);\">\n    Service-Aware Personalized Item Recommendation.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>; Hu, Z. F.;  and Ardissono, L.\n</span>\n\n  \n\n</span>\n\n  <i>IEEE Access</i>, 10: 26715-26729.  2022.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://ieeexplore.ieee.org/abstract/document/9729739\"\n     onclick=\"log_download('mauro-hu-ardissono-serviceawarepersonalizeditemrecommendation-2022', 'https://ieeexplore.ieee.org/abstract/document/9729739', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Service-Aware Personalized Item Recommendation [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2022_IEEE_Access_Service.pdf\"\n     onclick=\"log_download('mauro-hu-ardissono-serviceawarepersonalizeditemrecommendation-2022', 'http://www.di.unito.it/~mauro/publications/2022_IEEE_Access_Service.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Service-Aware Personalized Item Recommendation [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1109/ACCESS.2022.3157442\"\n     onclick=\"log_download('mauro-hu-ardissono-serviceawarepersonalizeditemrecommendation-2022', 'http://doi.org/10.1109/ACCESS.2022.3157442', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mauro-hu-ardissono-serviceawarepersonalizeditemrecommendation-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mauro-hu-ardissono-serviceawarepersonalizeditemrecommendation-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{Mauro-etal:22a,  \r\nauthor={Mauro, Noemi and Hu, Zhongli Filippo and Ardissono, Liliana},  \r\njournal={IEEE Access},   \r\ntitle={Service-Aware Personalized Item Recommendation},   \r\nyear={2022},  \r\nvolume={10},  \r\nnumber={},  \r\npages={26715-26729},  \r\ndoi={10.1109/ACCESS.2022.3157442},\r\nabstract = {Current recommender systems employ item-centric properties to estimate ratings and present the results to the user. However, recent studies highlight the fact that the stages of item fruition also involve extrinsic factors, such as the interaction with the service provider before, during and after item selection. In other words, a holistic view of consumer experience, including local properties of items, as well as consumers’ perceptions of item fruition, should be adopted to enhance user awareness and decision-making. In this work, we integrate recommender systems with service models to reason about the different stages of item fruition. By exploiting the Service Journey Maps to define service-based item and user profiles, we develop a novel family of recommender systems that evaluate items by taking preference management and overall consumer experience into account. Moreover, we introduce a two-level visual model to provide users with different information about recommendation results: (i) the higher level summarizes consumer experience about items and supports the identification of promising suggestions within a possibly long list of results; (ii) the lower level enables the exploration of detailed data about the local properties of items. In a user test instantiated in the home-booking domain, we compared our models to standard recommender systems. We found that the service-based algorithms that only use item fruition experience excel in ranking and minimize the error in rating estimation. Moreover, the combination of data about item fruition experience and item properties achieves slightly lower recommendation performance; however, it enhances users’ perceptions of the awareness and the decision-making support provided by the system. These results encourage the adoption of service-based models to summarize user preferences and experience in recommender systems.},\r\nurl_Link = {https://ieeexplore.ieee.org/abstract/document/9729739},\r\nurl_Paper = {2022_IEEE_Access_Service.pdf},\r\n}\r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Current recommender systems employ item-centric properties to estimate ratings and present the results to the user. However, recent studies highlight the fact that the stages of item fruition also involve extrinsic factors, such as the interaction with the service provider before, during and after item selection. In other words, a holistic view of consumer experience, including local properties of items, as well as consumers’ perceptions of item fruition, should be adopted to enhance user awareness and decision-making. In this work, we integrate recommender systems with service models to reason about the different stages of item fruition. By exploiting the Service Journey Maps to define service-based item and user profiles, we develop a novel family of recommender systems that evaluate items by taking preference management and overall consumer experience into account. Moreover, we introduce a two-level visual model to provide users with different information about recommendation results: (i) the higher level summarizes consumer experience about items and supports the identification of promising suggestions within a possibly long list of results; (ii) the lower level enables the exploration of detailed data about the local properties of items. In a user test instantiated in the home-booking domain, we compared our models to standard recommender systems. We found that the service-based algorithms that only use item fruition experience excel in ranking and minimize the error in rating estimation. Moreover, the combination of data about item fruition experience and item properties achieves slightly lower recommendation performance; however, it enhances users’ perceptions of the awareness and the decision-making support provided by the system. These results encourage the adoption of service-based models to summarize user preferences and experience in recommender systems.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"mauro-ardissono-cena-supportingpeoplewithautismspectrumdisordersintheexplorationofpoisaninclusiverecommendersystem-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2022_CACM.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'mauro-ardissono-cena-supportingpeoplewithautismspectrumdisordersintheexplorationofpoisaninclusiverecommendersystem-2022', 'http://www.di.unito.it/~mauro/publications/2022_CACM.pdf', event);\">\n    Supporting People with Autism Spectrum Disorders in the Exploration of PoIs: An Inclusive Recommender System.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>; Ardissono, L.;  and Cena, F.\n</span>\n\n  \n\n</span>\n\n  <i>Communications of the ACM</i>, 65(2): 101–109.  2022.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://dl.acm.org/doi/10.1145/3505267\"\n     onclick=\"log_download('mauro-ardissono-cena-supportingpeoplewithautismspectrumdisordersintheexplorationofpoisaninclusiverecommendersystem-2022', 'https://dl.acm.org/doi/10.1145/3505267', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Supporting People with Autism Spectrum Disorders in the Exploration of PoIs: An Inclusive Recommender System [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2022_CACM.pdf\"\n     onclick=\"log_download('mauro-ardissono-cena-supportingpeoplewithautismspectrumdisordersintheexplorationofpoisaninclusiverecommendersystem-2022', 'http://www.di.unito.it/~mauro/publications/2022_CACM.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Supporting People with Autism Spectrum Disorders in the Exploration of PoIs: An Inclusive Recommender System [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1145/3505267\"\n     onclick=\"log_download('mauro-ardissono-cena-supportingpeoplewithautismspectrumdisordersintheexplorationofpoisaninclusiverecommendersystem-2022', 'http://doi.org/10.1145/3505267', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mauro-ardissono-cena-supportingpeoplewithautismspectrumdisordersintheexplorationofpoisaninclusiverecommendersystem-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mauro-ardissono-cena-supportingpeoplewithautismspectrumdisordersintheexplorationofpoisaninclusiverecommendersystem-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{Mauro-etal:22,\r\nauthor = {Mauro, Noemi and Ardissono, Liliana and Cena, Federica},\r\ntitle = {Supporting People with Autism Spectrum Disorders in the Exploration of PoIs: An Inclusive Recommender System},\r\nyear = {2022},\r\nissue_date = {February 2022},\r\npublisher = {Association for Computing Machinery},\r\naddress = {New York, NY, USA},\r\nvolume = {65},\r\nnumber = {2},\r\nissn = {0001-0782},\r\ndoi = {10.1145/3505267},\r\nabstract = {The suggestion of Points of Interest (PoIs) to people with autism spectrum disorders challenges the research about recommender systems by introducing an explicit need to consider both user preferences and aversions in item evaluation. The reason is that autistic users&#x27; perception of places is influenced by sensory aversions, which can cause stress and anxiety when they visit the suggested PoIs. Therefore, the management of individual preferences is not enough to provide these people with suitable recommendations.To address this issue, we propose a Top-N recommendation model that combines information about the user&#x27;s idiosyncratic aversions with her/his preferences in a personalized way. The goal is that of suggesting the places that (s)he can like and smoothly experience at the same time. We are interested in finding a user-specific balance of compatibility and interest within a recommendation model that integrates heterogeneous evaluation criteria to appropriately take these aspects into account.We tested our model on 148 adults, 20 of which were people with autism spectrum disorders. The evaluation results show that, on both groups, our model achieves superior accuracy and ranking results than the recommender systems based on item compatibility, on user preferences, or which integrate these aspects using a uniform evaluation model. These findings encourage us to use our model as a basis for the development of inclusive recommender systems.},\r\njournal = {Communications of the ACM},\r\npages = {101–109},\r\nnumpages = {9},\r\nurl_Link = {https://dl.acm.org/doi/10.1145/3505267},\r\nurl_Paper = {2022_CACM.pdf},\r\n}\r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  The suggestion of Points of Interest (PoIs) to people with autism spectrum disorders challenges the research about recommender systems by introducing an explicit need to consider both user preferences and aversions in item evaluation. The reason is that autistic users' perception of places is influenced by sensory aversions, which can cause stress and anxiety when they visit the suggested PoIs. Therefore, the management of individual preferences is not enough to provide these people with suitable recommendations.To address this issue, we propose a Top-N recommendation model that combines information about the user's idiosyncratic aversions with her/his preferences in a personalized way. The goal is that of suggesting the places that (s)he can like and smoothly experience at the same time. We are interested in finding a user-specific balance of compatibility and interest within a recommendation model that integrates heterogeneous evaluation criteria to appropriately take these aspects into account.We tested our model on 148 adults, 20 of which were people with autism spectrum disorders. The evaluation results show that, on both groups, our model achieves superior accuracy and ranking results than the recommender systems based on item compatibility, on user preferences, or which integrate these aspects using a uniform evaluation model. These findings encourage us to use our model as a basis for the development of inclusive recommender systems.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"mauro-geninatticossatin-cravero-ardissono-magnano-giardino-exploringsemanticallyinterlacedculturalheritagenarratives-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://doi.org/10.1145/3511095.3536366\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'mauro-geninatticossatin-cravero-ardissono-magnano-giardino-exploringsemanticallyinterlacedculturalheritagenarratives-2022', 'https://doi.org/10.1145/3511095.3536366', event);\">\n    Exploring Semantically Interlaced Cultural Heritage Narratives.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>; Geninatti Cossatin, A.; Cravero, E.; Ardissono, L.; Magnano, G.;  and Giardino, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 33rd ACM Conference on Hypertext and Social Media</i>, of <i>HT '22</i>, pages 192–197, New York, NY, USA,  2022. Association for Computing Machinery\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1145/3511095.3536366\"\n     onclick=\"log_download('mauro-geninatticossatin-cravero-ardissono-magnano-giardino-exploringsemanticallyinterlacedculturalheritagenarratives-2022', 'https://doi.org/10.1145/3511095.3536366', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Exploring Semantically Interlaced Cultural Heritage Narratives [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2022_HT_Triangolazioni\"\n     onclick=\"log_download('mauro-geninatticossatin-cravero-ardissono-magnano-giardino-exploringsemanticallyinterlacedculturalheritagenarratives-2022', 'http://www.di.unito.it/~mauro/publications/2022_HT_Triangolazioni', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Exploring Semantically Interlaced Cultural Heritage Narratives [link]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1145/3511095.3536366\"\n     onclick=\"log_download('mauro-geninatticossatin-cravero-ardissono-magnano-giardino-exploringsemanticallyinterlacedculturalheritagenarratives-2022', 'http://doi.org/10.1145/3511095.3536366', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mauro-geninatticossatin-cravero-ardissono-magnano-giardino-exploringsemanticallyinterlacedculturalheritagenarratives-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mauro-geninatticossatin-cravero-ardissono-magnano-giardino-exploringsemanticallyinterlacedculturalheritagenarratives-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{10.1145/3511095.3536366,\r\nauthor = {Mauro, Noemi and Geninatti Cossatin, Angelo and Cravero, Ester and Ardissono, Liliana and Magnano, Guido and Giardino, Marco},\r\ntitle = {Exploring Semantically Interlaced Cultural Heritage Narratives},\r\nyear = {2022},\r\nisbn = {9781450392334},\r\npublisher = {Association for Computing Machinery},\r\naddress = {New York, NY, USA},\r\ndoi = {10.1145/3511095.3536366},\r\nabstract = {While traditional mobile guides propose itineraries underlying the presentation of individual narrations, a broad view of Cultural Heritage should take into account that Points of Interests, historical characters and objects are frequently related in different stories linking art, history and science. Moreover, stories could be associated through their common themes. Thus, a focus on individual narrations is not enough to provide users with a holistic view of the places they visit. In this paper, we investigate the presentation of interlaced Cultural Heritage information to make users aware about the connections among such stories. For this purpose, we propose an exploration model that enables the user to take side walks in semantically-related narrations concerning Points of Interest. This is based on a semantic knowledge representation where two types of relations connect entities within individual stories, and stories through their common themes. Based on this representation, we developed the Triangolazioni mobile guide that presents multimedia information about Cultural Heritage in Torino city. A user study has shown that participants perceived the app, and its ”side walking” support, as highly usable. Moreover, they appreciated the storytelling capabilities of the app.},\r\nbooktitle = {Proceedings of the 33rd ACM Conference on Hypertext and Social Media},\r\npages = {192–197},\r\nnumpages = {6},\r\nkeywords = {Cultural Heritage, hypertext models, mobile guides},\r\nlocation = {Barcelona, Spain},\r\nseries = {HT &#x27;22},\r\nurl_Link = {https://doi.org/10.1145/3511095.3536366},\r\nurl_Paper = {2022_HT_Triangolazioni}\r\n}\r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  While traditional mobile guides propose itineraries underlying the presentation of individual narrations, a broad view of Cultural Heritage should take into account that Points of Interests, historical characters and objects are frequently related in different stories linking art, history and science. Moreover, stories could be associated through their common themes. Thus, a focus on individual narrations is not enough to provide users with a holistic view of the places they visit. In this paper, we investigate the presentation of interlaced Cultural Heritage information to make users aware about the connections among such stories. For this purpose, we propose an exploration model that enables the user to take side walks in semantically-related narrations concerning Points of Interest. This is based on a semantic knowledge representation where two types of relations connect entities within individual stories, and stories through their common themes. Based on this representation, we developed the Triangolazioni mobile guide that presents multimedia information about Cultural Heritage in Torino city. A user study has shown that participants perceived the app, and its ”side walking” support, as highly usable. Moreover, they appreciated the storytelling capabilities of the app.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"mauro-geninatticossatin-cravero-ardissono-magnano-giardino-mattutino-amobileguidetoexploreinterconnectionsbetweenscienceartandterritory-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://doi.org/10.1145/3511047.3537649\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'mauro-geninatticossatin-cravero-ardissono-magnano-giardino-mattutino-amobileguidetoexploreinterconnectionsbetweenscienceartandterritory-2022', 'https://doi.org/10.1145/3511047.3537649', event);\">\n    A Mobile Guide to Explore Interconnections between Science, Art and Territory.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>; Geninatti Cossatin, A.; Cravero, E.; Ardissono, L.; Magnano, G.; Giardino, M.;  and Mattutino, C.\n</span>\n\n  \n\n</span>\n\n  In <i>Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization</i>, of <i>UMAP '22 Adjunct</i>, pages 397–401, New York, NY, USA,  2022. Association for Computing Machinery\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1145/3511047.3537649\"\n     onclick=\"log_download('mauro-geninatticossatin-cravero-ardissono-magnano-giardino-mattutino-amobileguidetoexploreinterconnectionsbetweenscienceartandterritory-2022', 'https://doi.org/10.1145/3511047.3537649', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"A Mobile Guide to Explore Interconnections between Science, Art and Territory [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2022_PATCH_Triangolazioni\"\n     onclick=\"log_download('mauro-geninatticossatin-cravero-ardissono-magnano-giardino-mattutino-amobileguidetoexploreinterconnectionsbetweenscienceartandterritory-2022', 'http://www.di.unito.it/~mauro/publications/2022_PATCH_Triangolazioni', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"A Mobile Guide to Explore Interconnections between Science, Art and Territory [link]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1145/3511047.3537649\"\n     onclick=\"log_download('mauro-geninatticossatin-cravero-ardissono-magnano-giardino-mattutino-amobileguidetoexploreinterconnectionsbetweenscienceartandterritory-2022', 'http://doi.org/10.1145/3511047.3537649', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mauro-geninatticossatin-cravero-ardissono-magnano-giardino-mattutino-amobileguidetoexploreinterconnectionsbetweenscienceartandterritory-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mauro-geninatticossatin-cravero-ardissono-magnano-giardino-mattutino-amobileguidetoexploreinterconnectionsbetweenscienceartandterritory-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{Mauro-etal:22c,\r\nauthor = {Mauro, Noemi and Geninatti Cossatin, Angelo and Cravero, Ester and Ardissono, Liliana and Magnano, Guido and Giardino, Marco and Mattutino, Claudio},\r\ntitle = {A Mobile Guide to Explore Interconnections between Science, Art and Territory},\r\nyear = {2022},\r\nisbn = {9781450392327},\r\npublisher = {Association for Computing Machinery},\r\naddress = {New York, NY, USA},\r\ndoi = {10.1145/3511047.3537649},\r\nabstract = {Most Cultural Heritage mobile guides are developed using a location-based hypertext model that guides the exploration of individual itineraries. However, Cultural Heritage places are often immersed in parallel and interlaced stories about art, history and science, which might be relevant to the tourist. Therefore, we are interested in investigating the semantic connections between the narratives that involve different Point of Interests to provide tourists with interconnected views of the Cultural Heritage of a place. As a first step in this direction, we present the Triangolazioni mobile guide, which allows users to thematically explore places through the navigation of narratives, and to connect narratives to each other based on topic similarity. Triangolazioni can be accessed from mobile phone, tablet and desktop, and supports the physical and virtual exploration of Points of Interest in the area around Torino, Italy.},\r\nbooktitle = {Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization},\r\npages = {397–401},\r\nnumpages = {5},\r\nkeywords = {Cultural Heritage, mobile guides},\r\nlocation = {Barcelona, Spain},\r\nseries = {UMAP &#x27;22 Adjunct},\r\nurl_Link = {https://doi.org/10.1145/3511047.3537649},\r\nurl_Paper = {2022_PATCH_Triangolazioni}\r\n}\r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Most Cultural Heritage mobile guides are developed using a location-based hypertext model that guides the exploration of individual itineraries. However, Cultural Heritage places are often immersed in parallel and interlaced stories about art, history and science, which might be relevant to the tourist. Therefore, we are interested in investigating the semantic connections between the narratives that involve different Point of Interests to provide tourists with interconnected views of the Cultural Heritage of a place. As a first step in this direction, we present the Triangolazioni mobile guide, which allows users to thematically explore places through the navigation of narratives, and to connect narratives to each other based on topic similarity. Triangolazioni can be accessed from mobile phone, tablet and desktop, and supports the physical and virtual exploration of Points of Interest in the area around Torino, Italy.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"kuflik-mauro-raptis-wecker-13thinternationalworkshoponpersonalizedaccesstoculturalheritagepatch2022towardshybridchexperience-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://doi.org/10.1145/3511047.3536341\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'kuflik-mauro-raptis-wecker-13thinternationalworkshoponpersonalizedaccesstoculturalheritagepatch2022towardshybridchexperience-2022', 'https://doi.org/10.1145/3511047.3536341', event);\">\n    13th International Workshop on Personalized Access to Cultural Heritage (PATCH 2022) - Towards Hybrid CH Experience.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Kuflik, T.; <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>; Raptis, G. E.;  and Wecker, A.\n</span>\n\n  \n\n</span>\n\n  In <i>Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization</i>, of <i>UMAP '22 Adjunct</i>, pages 371–373, New York, NY, USA,  2022. Association for Computing Machinery\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1145/3511047.3536341\"\n     onclick=\"log_download('kuflik-mauro-raptis-wecker-13thinternationalworkshoponpersonalizedaccesstoculturalheritagepatch2022towardshybridchexperience-2022', 'https://doi.org/10.1145/3511047.3536341', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"13th International Workshop on Personalized Access to Cultural Heritage (PATCH 2022) - Towards Hybrid CH Experience [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1145/3511047.3536341\"\n     onclick=\"log_download('kuflik-mauro-raptis-wecker-13thinternationalworkshoponpersonalizedaccesstoculturalheritagepatch2022towardshybridchexperience-2022', 'http://doi.org/10.1145/3511047.3536341', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/kuflik-mauro-raptis-wecker-13thinternationalworkshoponpersonalizedaccesstoculturalheritagepatch2022towardshybridchexperience-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('kuflik-mauro-raptis-wecker-13thinternationalworkshoponpersonalizedaccesstoculturalheritagepatch2022towardshybridchexperience-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{10.1145/3511047.3536341,\r\nauthor = {Kuflik, Tsvika and Mauro, Noemi and Raptis, George E. and Wecker, Alan},\r\ntitle = {13th International Workshop on Personalized Access to Cultural Heritage (PATCH 2022) - Towards Hybrid CH Experience},\r\nyear = {2022},\r\nisbn = {9781450392327},\r\npublisher = {Association for Computing Machinery},\r\naddress = {New York, NY, USA},\r\nurl_Link = {https://doi.org/10.1145/3511047.3536341},\r\ndoi = {10.1145/3511047.3536341},\r\nabstract = {ACM PATCH 2022, the 13th International Workshop on Personalized Access to Cultural Heritage, is organized in conjunction with the 30th International Conference on User Modeling, Adaptation and Personalization. It is the meeting point between researchers and practitioners working on personalization in cultural heritage, aiming to enhance the user experience in digital and physical Cultural Heritage sites. The PATCH workshops started in 2007 and they are typically held in conjunction with UMAP, IUI and recently AVI Conference series. This paper summarizes the main ideas addressed in the papers accepted for presentation at PATCH 2022 and for publication in the workshop proceedings.},\r\nbooktitle = {Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization},\r\npages = {371–373},\r\nnumpages = {3},\r\nkeywords = {Cultural Heritage, Personalization, User Modeling.},\r\nlocation = {Barcelona, Spain},\r\nseries = {UMAP &#x27;22 Adjunct}\r\n}\r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  ACM PATCH 2022, the 13th International Workshop on Personalized Access to Cultural Heritage, is organized in conjunction with the 30th International Conference on User Modeling, Adaptation and Personalization. It is the meeting point between researchers and practitioners working on personalization in cultural heritage, aiming to enhance the user experience in digital and physical Cultural Heritage sites. The PATCH workshops started in 2007 and they are typically held in conjunction with UMAP, IUI and recently AVI Conference series. This paper summarizes the main ideas addressed in the papers accepted for presentation at PATCH 2022 and for publication in the workshop proceedings.\n</div>\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2021\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2021')\"\n      onkeypress=\"toggleGroup('group_2021')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2021</span>\n      <span class=\"bibbase_group_count\">\n        \n        (10)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"latifi-mauro-jannach-sessionawarerecommendationasurprisingquestforthestateoftheart-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2021_IS_Session-aware.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'latifi-mauro-jannach-sessionawarerecommendationasurprisingquestforthestateoftheart-2021', 'http://www.di.unito.it/~mauro/publications/2021_IS_Session-aware.pdf', event);\">\n    Session-aware Recommendation: A Surprising Quest for the State-of-the-art.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Latifi, S.; <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>;  and Jannach, D.\n</span>\n\n  \n\n</span>\n\n  <i>Information Sciences</i>, 573: 291-315.  2021.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.sciencedirect.com/science/article/pii/S0020025521005089\"\n     onclick=\"log_download('latifi-mauro-jannach-sessionawarerecommendationasurprisingquestforthestateoftheart-2021', 'https://www.sciencedirect.com/science/article/pii/S0020025521005089', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Session-aware Recommendation: A Surprising Quest for the State-of-the-art [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2021_IS_Session-aware.pdf\"\n     onclick=\"log_download('latifi-mauro-jannach-sessionawarerecommendationasurprisingquestforthestateoftheart-2021', 'http://www.di.unito.it/~mauro/publications/2021_IS_Session-aware.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Session-aware Recommendation: A Surprising Quest for the State-of-the-art [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1016/j.ins.2021.05.048\"\n     onclick=\"log_download('latifi-mauro-jannach-sessionawarerecommendationasurprisingquestforthestateoftheart-2021', 'http://doi.org/10.1016/j.ins.2021.05.048', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/latifi-mauro-jannach-sessionawarerecommendationasurprisingquestforthestateoftheart-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('latifi-mauro-jannach-sessionawarerecommendationasurprisingquestforthestateoftheart-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{Latifi-etal:21,\r\nauthor = {Sara Latifi and Noemi Mauro and Dietmar Jannach},\r\ntitle = {Session-aware Recommendation: A Surprising Quest for the State-of-the-art},\r\njournal = {Information Sciences},\r\nvolume = {573},\r\npages = {291-315},\r\nyear = {2021},\r\nissn = {0020-0255},\r\ndoi = {10.1016/j.ins.2021.05.048},\r\nurl_Link = {https://www.sciencedirect.com/science/article/pii/S0020025521005089},\r\nurl_Paper = {2021_IS_Session-aware.pdf},\r\nkeywords = {Session-aware Recommendation, Evaluation, Reproducibility},\r\nabstract = {Recommender systems are designed to help users in situations of information overload. In recent years we observed increased interest in session-based recommendation scenarios, where the problem is to make item suggestions to users based only on interactions observed in an ongoing session, e.g., on an e-commerce site. However, in cases where interactions from previous user sessions are also available, the recommendations can be personalized according to the users’ long-term preferences, a process called session-aware recommendation. Today, research in this area is scattered, and many works only compare a newly proposed session-aware with existing session-based models. This makes it challenging to understand what represents the state-of-the-art. To close this research gap, we benchmarked recent session-aware algorithms against each other and against a number of session-based recommendation algorithms along with heuristic extensions thereof. Our comparison, to some surprise, revealed that (i) simple techniques based on nearest neighbors consistently outperform recent neural techniques and that (ii) session-aware models were mostly not better than approaches that do not use long-term preference information. Our work therefore points to potential methodological issues where new methods are compared to weak baselines, and it also indicates that there remains a huge potential for more sophisticated session-aware recommendation algorithms.}\r\n}\r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Recommender systems are designed to help users in situations of information overload. In recent years we observed increased interest in session-based recommendation scenarios, where the problem is to make item suggestions to users based only on interactions observed in an ongoing session, e.g., on an e-commerce site. However, in cases where interactions from previous user sessions are also available, the recommendations can be personalized according to the users’ long-term preferences, a process called session-aware recommendation. Today, research in this area is scattered, and many works only compare a newly proposed session-aware with existing session-based models. This makes it challenging to understand what represents the state-of-the-art. To close this research gap, we benchmarked recent session-aware algorithms against each other and against a number of session-based recommendation algorithms along with heuristic extensions thereof. Our comparison, to some surprise, revealed that (i) simple techniques based on nearest neighbors consistently outperform recent neural techniques and that (ii) session-aware models were mostly not better than approaches that do not use long-term preference information. Our work therefore points to potential methodological issues where new methods are compared to weak baselines, and it also indicates that there remains a huge potential for more sophisticated session-aware recommendation algorithms.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"mauro-ardissono-petrone-useranditemawareestimationofreviewhelpfulness-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2021_IPAM_Helpfulness.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'mauro-ardissono-petrone-useranditemawareestimationofreviewhelpfulness-2021', 'http://www.di.unito.it/~mauro/publications/2021_IPAM_Helpfulness.pdf', event);\">\n    User and Item-aware Estimation of Review Helpfulness.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>; Ardissono, L.;  and Petrone, G.\n</span>\n\n  \n\n</span>\n\n  <i>Information Processing & Management</i>, 58(1): 102434.  2021.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.sciencedirect.com/science/article/pii/S0306457320309274\"\n     onclick=\"log_download('mauro-ardissono-petrone-useranditemawareestimationofreviewhelpfulness-2021', 'http://www.sciencedirect.com/science/article/pii/S0306457320309274', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"User and Item-aware Estimation of Review Helpfulness [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2021_IPAM_Helpfulness.pdf\"\n     onclick=\"log_download('mauro-ardissono-petrone-useranditemawareestimationofreviewhelpfulness-2021', 'http://www.di.unito.it/~mauro/publications/2021_IPAM_Helpfulness.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"User and Item-aware Estimation of Review Helpfulness [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1016/j.ipm.2020.102434\"\n     onclick=\"log_download('mauro-ardissono-petrone-useranditemawareestimationofreviewhelpfulness-2021', 'http://doi.org/10.1016/j.ipm.2020.102434', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mauro-ardissono-petrone-useranditemawareestimationofreviewhelpfulness-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mauro-ardissono-petrone-useranditemawareestimationofreviewhelpfulness-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{Mauro-etal:21b,\r\nauthor = &quot;Noemi Mauro and Liliana Ardissono and Giovanna Petrone&quot;,\r\ntitle = &quot;User and Item-aware Estimation of Review Helpfulness&quot;,\r\njournal = &quot;Information Processing \\&amp; Management&quot;,\r\nvolume = &quot;58&quot;,\r\nnumber = &quot;1&quot;,\r\npages = &quot;102434&quot;,\r\nyear = &quot;2021&quot;,\r\nissn = &quot;0306-4573&quot;,\r\ndoi = &quot;10.1016/j.ipm.2020.102434&quot;,\r\nurl_Link = &quot;http://www.sciencedirect.com/science/article/pii/S0306457320309274&quot;,\r\nurl_Paper = {2021_IPAM_Helpfulness.pdf},\r\nkeywords = {Review helpfulness, Helpfulness determinants, Regression analysis, Helpfulness-aware personalized item recommendation},\r\nabstract = {In online review sites, the analysis of user feedback for assessing its helpfulness for decision-making is usually carried out by locally studying the properties of individual reviews. However, global properties should be considered as well to precisely evaluate the quality of user feedback. In this paper we investigate the role of deviations in the properties of reviews as helpfulness determinants with the intuition that “out of the core” feedback helps item evaluation. We propose a novel helpfulness estimation model that extends previous ones with the analysis of deviations in rating, length and polarity with respect to the reviews written by the same person, or concerning the same item. A regression analysis carried out on two large datasets of reviews extracted from Yelp social network shows that user-based deviations in review length and rating clearly influence perceived helpfulness. Moreover, an experiment on the same datasets shows that the integration of our helpfulness estimation model improves the performance of a collaborative recommender system by enhancing the selection of high-quality data for rating estimation. Our model is thus an effective tool to select relevant user feedback for decision-making.}\r\n}\r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  In online review sites, the analysis of user feedback for assessing its helpfulness for decision-making is usually carried out by locally studying the properties of individual reviews. However, global properties should be considered as well to precisely evaluate the quality of user feedback. In this paper we investigate the role of deviations in the properties of reviews as helpfulness determinants with the intuition that “out of the core” feedback helps item evaluation. We propose a novel helpfulness estimation model that extends previous ones with the analysis of deviations in rating, length and polarity with respect to the reviews written by the same person, or concerning the same item. A regression analysis carried out on two large datasets of reviews extracted from Yelp social network shows that user-based deviations in review length and rating clearly influence perceived helpfulness. Moreover, an experiment on the same datasets shows that the integration of our helpfulness estimation model improves the performance of a collaborative recommender system by enhancing the selection of high-quality data for rating estimation. Our model is thus an effective tool to select relevant user feedback for decision-making.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"ludewig-mauro-latifi-jannach-empiricalanalysisofsessionbasedrecommendationalgorithms-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2021_UMUAI_Empirical.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'ludewig-mauro-latifi-jannach-empiricalanalysisofsessionbasedrecommendationalgorithms-2021', 'http://www.di.unito.it/~mauro/publications/2021_UMUAI_Empirical.pdf', event);\">\n    Empirical Analysis of Session-based Recommendation Algorithms.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Ludewig, M.; <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>; Latifi, S.;  and Jannach, D.\n</span>\n\n  \n\n</span>\n\n  <i>User Modeling and User-Adapted Interaction</i>.  2021.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://link.springer.com/article/10.1007/s11257-020-09277-1\"\n     onclick=\"log_download('ludewig-mauro-latifi-jannach-empiricalanalysisofsessionbasedrecommendationalgorithms-2021', 'https://link.springer.com/article/10.1007/s11257-020-09277-1', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Empirical Analysis of Session-based Recommendation Algorithms [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2021_UMUAI_Empirical.pdf\"\n     onclick=\"log_download('ludewig-mauro-latifi-jannach-empiricalanalysisofsessionbasedrecommendationalgorithms-2021', 'http://www.di.unito.it/~mauro/publications/2021_UMUAI_Empirical.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Empirical Analysis of Session-based Recommendation Algorithms [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1007/s11257-020-09277-1\"\n     onclick=\"log_download('ludewig-mauro-latifi-jannach-empiricalanalysisofsessionbasedrecommendationalgorithms-2021', 'http://doi.org/10.1007/s11257-020-09277-1', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ludewig-mauro-latifi-jannach-empiricalanalysisofsessionbasedrecommendationalgorithms-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ludewig-mauro-latifi-jannach-empiricalanalysisofsessionbasedrecommendationalgorithms-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{Ludewig-etal:21b,\r\n  author = {Ludewig, Malte and Mauro, Noemi and Latifi, Sara and Jannach, Dietmar},\r\n  title = {Empirical Analysis of Session-based Recommendation Algorithms},\r\n  journal={User Modeling and User-Adapted Interaction},\r\n  year = {2021},\r\n  issn={1573-1391},\r\n  doi={10.1007/s11257-020-09277-1},\r\n  url_Link={https://link.springer.com/article/10.1007/s11257-020-09277-1},\r\n  url_Paper = {2021_UMUAI_Empirical.pdf},\r\n  keywords = {Session-based recommendation, Performance evaluation, Reproducibility},\r\n  abstract = {Recommender systems are tools that support online users by pointing them to potential items of interest in situations of information overload. In recent years, the class of session-based recommendation algorithms received more attention in the research literature. These algorithms base their recommendations solely on the observed interactions with the user in an ongoing session and do not require the existence of long-term preference profiles. Most recently, a number of deep learning-based (“neural”) approaches to session-based recommendations have been proposed. However, previous research indicates that today’s complex neural recommendation methods are not always better than comparably simple algorithms in terms of prediction accuracy. With this work, our goal is to shed light on the state of the art in the area of session-based recommendation and on the progress that is made with neural approaches. For this purpose, we compare twelve algorithmic approaches, among them six recent neural methods, under identical conditions on various datasets. We find that the progress in terms of prediction accuracy that is achieved with neural methods is still limited. In most cases, our experiments show that simple heuristic methods based on nearest-neighbors schemes are preferable over conceptually and computationally more complex methods. Observations from a user study furthermore indicate that recommendations based on heuristic methods were also well accepted by the study participants. To support future progress and reproducibility in this area, we publicly share the SESSION-REC evaluation framework that was used in our research.}\r\n} \r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Recommender systems are tools that support online users by pointing them to potential items of interest in situations of information overload. In recent years, the class of session-based recommendation algorithms received more attention in the research literature. These algorithms base their recommendations solely on the observed interactions with the user in an ongoing session and do not require the existence of long-term preference profiles. Most recently, a number of deep learning-based (“neural”) approaches to session-based recommendations have been proposed. However, previous research indicates that today’s complex neural recommendation methods are not always better than comparably simple algorithms in terms of prediction accuracy. With this work, our goal is to shed light on the state of the art in the area of session-based recommendation and on the progress that is made with neural approaches. For this purpose, we compare twelve algorithmic approaches, among them six recent neural methods, under identical conditions on various datasets. We find that the progress in terms of prediction accuracy that is achieved with neural methods is still limited. In most cases, our experiments show that simple heuristic methods based on nearest-neighbors schemes are preferable over conceptually and computationally more complex methods. Observations from a user study furthermore indicate that recommendations based on heuristic methods were also well accepted by the study participants. To support future progress and reproducibility in this area, we publicly share the SESSION-REC evaluation framework that was used in our research.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"mauro-hu-ardissono-serviceorientedjustificationofrecommendersystemsuggestions-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2021_INTERACT.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'mauro-hu-ardissono-serviceorientedjustificationofrecommendersystemsuggestions-2021', 'http://www.di.unito.it/~mauro/publications/2021_INTERACT.pdf', event);\">\n    Service-Oriented Justification of Recommender System Suggestions.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>; Hu, Z. F.;  and Ardissono, L.\n</span>\n\n  \n\n</span>\n\n  In <i>Human-Computer Interaction – INTERACT 2021</i>, pages 321–330, Cham,  2021. Springer International Publishing\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://link.springer.com/chapter/10.1007/978-3-030-85613-7_23\"\n     onclick=\"log_download('mauro-hu-ardissono-serviceorientedjustificationofrecommendersystemsuggestions-2021', 'https://link.springer.com/chapter/10.1007/978-3-030-85613-7_23', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Service-Oriented Justification of Recommender System Suggestions [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2021_INTERACT.pdf\"\n     onclick=\"log_download('mauro-hu-ardissono-serviceorientedjustificationofrecommendersystemsuggestions-2021', 'http://www.di.unito.it/~mauro/publications/2021_INTERACT.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Service-Oriented Justification of Recommender System Suggestions [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mauro-hu-ardissono-serviceorientedjustificationofrecommendersystemsuggestions-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mauro-hu-ardissono-serviceorientedjustificationofrecommendersystemsuggestions-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{Mauro-etal:21f,\r\nauthor={Mauro, Noemi\r\nand Hu, Zhongli Filippo\r\nand Ardissono, Liliana},\r\ntitle={Service-Oriented Justification of Recommender System Suggestions},\r\nbooktitle={Human-Computer Interaction -- INTERACT 2021},\r\nyear={2021},\r\npublisher={Springer International Publishing},\r\naddress={Cham},\r\npages={321--330},\r\nisbn={978-3-030-85613-7},\r\nurl_Link = {https://link.springer.com/chapter/10.1007/978-3-030-85613-7_23},\r\nurl_Paper = {2021_INTERACT.pdf},\r\nabstract={In the selection of products or services, overviewing the list of options to identify the most promising ones is key to decision-making. However, current models for the justification of recommender systems results poorly support this task because, as they exclusively focus on item properties, they generate detailed justifications that are lengthy to skim. Moreover, they overlook the existence of a complex item fruition process which can impact customer satisfaction as well. For instance, consumer feedback shows that relevant factors in home booking include both the properties of apartments, and previous customers&#x27; perceptions of the interaction with the personnel who manages the homes. To address this issue, we propose a visual model that exploits an explicit representation of the service underlying item fruition to generate a high-level, holistic summary of previous consumers&#x27; opinions about the suggested items. From this overview, the user can identify the relevant items and retrieve detailed information about them, in a selective way, thus reducing information load. Our model is instantiated on the Airbnb experiences domain and uses the Service Blueprints to identify evaluation dimensions for the incremental presentation of data about items. A preliminary user study has shown that our model supports user awareness about items by enabling people to quickly filter out the unsuitable recommendations, so that they can analyze in detail the most relevant options.},\r\n}\r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  In the selection of products or services, overviewing the list of options to identify the most promising ones is key to decision-making. However, current models for the justification of recommender systems results poorly support this task because, as they exclusively focus on item properties, they generate detailed justifications that are lengthy to skim. Moreover, they overlook the existence of a complex item fruition process which can impact customer satisfaction as well. For instance, consumer feedback shows that relevant factors in home booking include both the properties of apartments, and previous customers' perceptions of the interaction with the personnel who manages the homes. To address this issue, we propose a visual model that exploits an explicit representation of the service underlying item fruition to generate a high-level, holistic summary of previous consumers' opinions about the suggested items. From this overview, the user can identify the relevant items and retrieve detailed information about them, in a selective way, thus reducing information load. Our model is instantiated on the Airbnb experiences domain and uses the Service Blueprints to identify evaluation dimensions for the incremental presentation of data about items. A preliminary user study has shown that our model supports user awareness about items by enabling people to quickly filter out the unsuitable recommendations, so that they can analyze in detail the most relevant options.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"cena-rapp-mattutino-mauro-ardissono-cuccurullo-brighenti-keller-etal-apersonalisedinteractivemobileappforpeoplewithautismspectrumdisorder-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2021_INTERACT_PIUMA.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'cena-rapp-mattutino-mauro-ardissono-cuccurullo-brighenti-keller-etal-apersonalisedinteractivemobileappforpeoplewithautismspectrumdisorder-2021', 'http://www.di.unito.it/~mauro/publications/2021_INTERACT_PIUMA.pdf', event);\">\n    A Personalised Interactive Mobile App for People with Autism Spectrum Disorder.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Cena, F.; Rapp, A.; Mattutino, C.; <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>; Ardissono, L.; Cuccurullo, S.; Brighenti, S.; Keller, R.;  and Tirassa, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Human-Computer-Interaction – INTERACT 2021</i>, pages 313–317, Cham,  2021. Springer International Publishing\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://link.springer.com/chapter/10.1007/978-3-030-85607-6_28\"\n     onclick=\"log_download('cena-rapp-mattutino-mauro-ardissono-cuccurullo-brighenti-keller-etal-apersonalisedinteractivemobileappforpeoplewithautismspectrumdisorder-2021', 'https://link.springer.com/chapter/10.1007/978-3-030-85607-6_28', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"A Personalised Interactive Mobile App for People with Autism Spectrum Disorder [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2021_INTERACT_PIUMA.pdf\"\n     onclick=\"log_download('cena-rapp-mattutino-mauro-ardissono-cuccurullo-brighenti-keller-etal-apersonalisedinteractivemobileappforpeoplewithautismspectrumdisorder-2021', 'http://www.di.unito.it/~mauro/publications/2021_INTERACT_PIUMA.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"A Personalised Interactive Mobile App for People with Autism Spectrum Disorder [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/cena-rapp-mattutino-mauro-ardissono-cuccurullo-brighenti-keller-etal-apersonalisedinteractivemobileappforpeoplewithautismspectrumdisorder-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('cena-rapp-mattutino-mauro-ardissono-cuccurullo-brighenti-keller-etal-apersonalisedinteractivemobileappforpeoplewithautismspectrumdisorder-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{Cena-etal:21,\r\nauthor=&quot;Cena, Federica\r\nand Rapp, Amon\r\nand Mattutino, Claudio\r\nand Mauro, Noemi\r\nand Ardissono, Liliana\r\nand Cuccurullo, Simone\r\nand Brighenti, Stefania\r\nand Keller, Roberto\r\nand Tirassa, Maurizio&quot;,\r\ntitle=&quot;A Personalised Interactive Mobile App for People with Autism Spectrum Disorder&quot;,\r\nbooktitle=&quot;Human-Computer-Interaction -- INTERACT 2021&quot;,\r\nyear=&quot;2021&quot;,\r\npublisher=&quot;Springer International Publishing&quot;,\r\naddress=&quot;Cham&quot;,\r\npages=&quot;313--317&quot;,\r\nisbn=&quot;978-3-030-85607-6&quot;,\r\nurl_Link = {https://link.springer.com/chapter/10.1007/978-3-030-85607-6_28},\r\nurl_Paper = {2021_INTERACT_PIUMA.pdf},\r\nabstract=&quot;The PIUMA app aims at allowing users with autism to explore their city, finding new places that can be interesting for them but at the same time do not annoy them. Users can navigate the city through an interactive map that is both personalized and crowdsourced.&quot;,\r\n}\r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  The PIUMA app aims at allowing users with autism to explore their city, finding new places that can be interesting for them but at the same time do not annoy them. Users can navigate the city through an interactive map that is both personalized and crowdsourced.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"mauro-ardissono-torrielli-izzi-mattutino-lucenteforte-segnan-nearmedynamicexplorationofgeographicalareas-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2021_HCI_INTERNATIONAL.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'mauro-ardissono-torrielli-izzi-mattutino-lucenteforte-segnan-nearmedynamicexplorationofgeographicalareas-2021', 'http://www.di.unito.it/~mauro/publications/2021_HCI_INTERNATIONAL.pdf', event);\">\n    NearMe: Dynamic Exploration of Geographical Areas.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>; Ardissono, L.; Torrielli, F.; Izzi, G.; Mattutino, C.; Lucenteforte, M.;  and Segnan, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Human Interface and the Management of Information. Information Presentation and Visualization</i>, pages 206–217, Cham,  2021. Springer International Publishing\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://link.springer.com/chapter/10.1007/978-3-030-78321-1_16\"\n     onclick=\"log_download('mauro-ardissono-torrielli-izzi-mattutino-lucenteforte-segnan-nearmedynamicexplorationofgeographicalareas-2021', 'https://link.springer.com/chapter/10.1007/978-3-030-78321-1_16', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"NearMe: Dynamic Exploration of Geographical Areas [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2021_HCI_INTERNATIONAL.pdf\"\n     onclick=\"log_download('mauro-ardissono-torrielli-izzi-mattutino-lucenteforte-segnan-nearmedynamicexplorationofgeographicalareas-2021', 'http://www.di.unito.it/~mauro/publications/2021_HCI_INTERNATIONAL.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"NearMe: Dynamic Exploration of Geographical Areas [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mauro-ardissono-torrielli-izzi-mattutino-lucenteforte-segnan-nearmedynamicexplorationofgeographicalareas-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mauro-ardissono-torrielli-izzi-mattutino-lucenteforte-segnan-nearmedynamicexplorationofgeographicalareas-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{Mauro-etal:21e,\r\nauthor=&quot;Mauro, Noemi\r\nand Ardissono, Liliana\r\nand Torrielli, Federico\r\nand Izzi, Gianmarco\r\nand Mattutino, Claudio\r\nand Lucenteforte, Maurizio\r\nand Segnan, Marino&quot;,\r\ntitle=&quot;NearMe: Dynamic Exploration of Geographical Areas&quot;,\r\nbooktitle=&quot;Human Interface and the Management of Information. Information Presentation and Visualization&quot;,\r\nyear=&quot;2021&quot;,\r\npublisher=&quot;Springer International Publishing&quot;,\r\naddress=&quot;Cham&quot;,\r\npages=&quot;206--217&quot;,\r\nurl_Link = {https://link.springer.com/chapter/10.1007/978-3-030-78321-1_16},\r\nurl_Paper = {2021_HCI_INTERNATIONAL.pdf},\r\nabstract=&quot;Web GIS offer precious data to explore geographic areas but they might overload the user with large amounts of information if (s)he is unable to specify efficient search queries. Services such as OpenStreetMap and Google Maps support focused information search, which requires people to exactly define what they are looking for. However, what can be searched within a specific area mainly depends on what is located there. Thus, the question is how to provide the user with an overview of the available data (s)he can look for, instead of forcing her/him to search for information in a blind way.&quot;,\r\nisbn=&quot;978-3-030-78321-1&quot;\r\n}\r\n\r\n\r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Web GIS offer precious data to explore geographic areas but they might overload the user with large amounts of information if (s)he is unable to specify efficient search queries. Services such as OpenStreetMap and Google Maps support focused information search, which requires people to exactly define what they are looking for. However, what can be searched within a specific area mainly depends on what is located there. Thus, the question is how to provide the user with an overview of the available data (s)he can look for, instead of forcing her/him to search for information in a blind way.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"mauro-hu-ardissono-izzi-aserviceorientedperspectiveonthesummarizationofrecommendationspreliminaryexperiment-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2021_ExUM_Airbnb.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'mauro-hu-ardissono-izzi-aserviceorientedperspectiveonthesummarizationofrecommendationspreliminaryexperiment-2021', 'http://www.di.unito.it/~mauro/publications/2021_ExUM_Airbnb.pdf', event);\">\n    A Service-Oriented Perspective on the Summarization of Recommendations: Preliminary Experiment.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>; Hu, Z. F. F.; Ardissono, L.;  and Izzi, G.\n</span>\n\n  \n\n</span>\n\n  In <i>Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization</i>, of <i>UMAP '21</i>, pages 213–219, New York, NY, USA,  2021. Association for Computing Machinery\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1145/3450614.3464475\"\n     onclick=\"log_download('mauro-hu-ardissono-izzi-aserviceorientedperspectiveonthesummarizationofrecommendationspreliminaryexperiment-2021', 'https://doi.org/10.1145/3450614.3464475', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"A Service-Oriented Perspective on the Summarization of Recommendations: Preliminary Experiment [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2021_ExUM_Airbnb.pdf\"\n     onclick=\"log_download('mauro-hu-ardissono-izzi-aserviceorientedperspectiveonthesummarizationofrecommendationspreliminaryexperiment-2021', 'http://www.di.unito.it/~mauro/publications/2021_ExUM_Airbnb.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"A Service-Oriented Perspective on the Summarization of Recommendations: Preliminary Experiment [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1145/3450614.3464475\"\n     onclick=\"log_download('mauro-hu-ardissono-izzi-aserviceorientedperspectiveonthesummarizationofrecommendationspreliminaryexperiment-2021', 'http://doi.org/10.1145/3450614.3464475', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mauro-hu-ardissono-izzi-aserviceorientedperspectiveonthesummarizationofrecommendationspreliminaryexperiment-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mauro-hu-ardissono-izzi-aserviceorientedperspectiveonthesummarizationofrecommendationspreliminaryexperiment-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{Mauro-etal:21c,\r\nauthor = {Mauro, Noemi and Hu, Zhongli Filippo Filippo and Ardissono, Liliana and Izzi, Gianmarco},\r\ntitle = {A Service-Oriented Perspective on the Summarization of Recommendations: Preliminary Experiment},\r\nyear = {2021},\r\nisbn = {9781450383677},\r\npublisher = {Association for Computing Machinery},\r\naddress = {New York, NY, USA},\r\nurl_Link = {https://doi.org/10.1145/3450614.3464475},\r\nurl_Paper = {2021_ExUM_Airbnb.pdf},\r\ndoi = {10.1145/3450614.3464475},\r\nabstract = {The explanation and justification of recommender systems’ results are challenging research tasks. On the one hand, a model-based description that clarifies the reasoning approach behind the suggestions might be difficult to understand, or it might fail to convince the user, if (s)he does not agree on the applied inference mechanism. On the other hand, an aspect-based justification based on few characteristics might provide a partial view of items or, if more detailed, it might overload the user with too much information. In order to address these issues, we propose a visual model aimed at justifying recommendations from a holistic perspective. Our model is based on a service-oriented summary of consumers’ experience with items. We use the Service Journey Maps to extract data about the experience with services from online reviews, and to generate a visual summary of such feedback, based on evaluation dimensions that refer to all the stages of service fruition. Thanks to a graphical representation of these dimensions (based on bar graphs), and on the provision of on-demand data about the associated aspects of items, our model enables the user to overview the recommendation list and to quickly identify the subset of results that deserve to be inspected in detail for a final selection decision. A preliminary user study, based on the Apartment Monitoring application, has provided encouraging results about the usefulness and efficacy of our model to enhance user awareness and decision-making in the presence of medium-size recommendation lists.},\r\nbooktitle = {Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization},\r\npages = {213–219},\r\nnumpages = {7},\r\nkeywords = {justification or results, summarization of recommendation lists, Service Journey Maps, review-based recommender systems},\r\nlocation = {Utrecht, Netherlands},\r\nseries = {UMAP &#x27;21}\r\n}\r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  The explanation and justification of recommender systems’ results are challenging research tasks. On the one hand, a model-based description that clarifies the reasoning approach behind the suggestions might be difficult to understand, or it might fail to convince the user, if (s)he does not agree on the applied inference mechanism. On the other hand, an aspect-based justification based on few characteristics might provide a partial view of items or, if more detailed, it might overload the user with too much information. In order to address these issues, we propose a visual model aimed at justifying recommendations from a holistic perspective. Our model is based on a service-oriented summary of consumers’ experience with items. We use the Service Journey Maps to extract data about the experience with services from online reviews, and to generate a visual summary of such feedback, based on evaluation dimensions that refer to all the stages of service fruition. Thanks to a graphical representation of these dimensions (based on bar graphs), and on the provision of on-demand data about the associated aspects of items, our model enables the user to overview the recommendation list and to quickly identify the subset of results that deserve to be inspected in detail for a final selection decision. A preliminary user study, based on the Apartment Monitoring application, has provided encouraging results about the usefulness and efficacy of our model to enhance user awareness and decision-making in the presence of medium-size recommendation lists.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"mauro-ardissono-petrone-geninatticossatin-mattutino-beyondtraditionalculturalheritagerecommendersystemssuggestingairbnbexperiencestousers-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://doi.org/10.1145/3450614.3463385\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'mauro-ardissono-petrone-geninatticossatin-mattutino-beyondtraditionalculturalheritagerecommendersystemssuggestingairbnbexperiencestousers-2021', 'https://doi.org/10.1145/3450614.3463385', event);\">\n    Beyond Traditional Cultural Heritage Recommender Systems: Suggesting Airbnb Experiences to Users.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>; Ardissono, L.; Petrone, G.; Geninatti Cossatin, A.;  and Mattutino, C.\n</span>\n\n  \n\n</span>\n\n  In <i>Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization</i>, of <i>UMAP '21</i>, pages 203–207, New York, NY, USA,  2021. Association for Computing Machinery\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1145/3450614.3463385\"\n     onclick=\"log_download('mauro-ardissono-petrone-geninatticossatin-mattutino-beyondtraditionalculturalheritagerecommendersystemssuggestingairbnbexperiencestousers-2021', 'https://doi.org/10.1145/3450614.3463385', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Beyond Traditional Cultural Heritage Recommender Systems: Suggesting Airbnb Experiences to Users [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2021_PATCH_Airbnb\"\n     onclick=\"log_download('mauro-ardissono-petrone-geninatticossatin-mattutino-beyondtraditionalculturalheritagerecommendersystemssuggestingairbnbexperiencestousers-2021', 'http://www.di.unito.it/~mauro/publications/2021_PATCH_Airbnb', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Beyond Traditional Cultural Heritage Recommender Systems: Suggesting Airbnb Experiences to Users [link]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1145/3450614.3463385\"\n     onclick=\"log_download('mauro-ardissono-petrone-geninatticossatin-mattutino-beyondtraditionalculturalheritagerecommendersystemssuggestingairbnbexperiencestousers-2021', 'http://doi.org/10.1145/3450614.3463385', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mauro-ardissono-petrone-geninatticossatin-mattutino-beyondtraditionalculturalheritagerecommendersystemssuggestingairbnbexperiencestousers-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mauro-ardissono-petrone-geninatticossatin-mattutino-beyondtraditionalculturalheritagerecommendersystemssuggestingairbnbexperiencestousers-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{Mauro-etal:21d,\r\nauthor = {Mauro, Noemi and Ardissono, Liliana and Petrone, Giovanna and Geninatti Cossatin, Angelo and Mattutino, Claudio},\r\ntitle = {Beyond Traditional Cultural Heritage Recommender Systems: Suggesting Airbnb Experiences to Users},\r\nyear = {2021},\r\nisbn = {9781450383677},\r\npublisher = {Association for Computing Machinery},\r\naddress = {New York, NY, USA},\r\nurl_Link = {https://doi.org/10.1145/3450614.3463385},\r\nurl_Paper = {2021_PATCH_Airbnb},\r\ndoi = {10.1145/3450614.3463385},\r\nabstract = {Traditional recommender systems suggest Cultural and Natural Heritage items to visitors by matching the target user to the available options, one-to-one. However, the increasing diffusion of informal activities and events, supported by location-based services such as Airbnb, extends personalized recommendation to a many-to-one match-making task. Airbnb experiences, which any citizen can propose to offer geographic tours and thematic activities, are composed of at least two entities to be evaluated: the former is the experience itself (in terms of topic, cost, etc.); the latter is the host, who directly interacts with guests during the management of the planned activities. As both entities can dramatically influence guests’ perceptions, they should be jointly taken into account by recommender systems. This paper presents our preliminary work aimed at extending the personalized suggestion of Cultural Heritage items to such composite objects.},\r\nbooktitle = {Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization},\r\npages = {203–207},\r\nnumpages = {5},\r\nkeywords = {Cultural Heritage, experience modeling, review-based recommender systems},\r\nlocation = {Utrecht, Netherlands},\r\nseries = {UMAP &#x27;21}\r\n}\r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Traditional recommender systems suggest Cultural and Natural Heritage items to visitors by matching the target user to the available options, one-to-one. However, the increasing diffusion of informal activities and events, supported by location-based services such as Airbnb, extends personalized recommendation to a many-to-one match-making task. Airbnb experiences, which any citizen can propose to offer geographic tours and thematic activities, are composed of at least two entities to be evaluated: the former is the experience itself (in terms of topic, cost, etc.); the latter is the host, who directly interacts with guests during the management of the planned activities. As both entities can dramatically influence guests’ perceptions, they should be jointly taken into account by recommender systems. This paper presents our preliminary work aimed at extending the personalized suggestion of Cultural Heritage items to such composite objects.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"ardissono-gena-kuflik-mauro-eraptis-wecker-internationalworkshoponpersonalizedaccesstoculturalheritage-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://doi.org/10.1145/3450614.3461456\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'ardissono-gena-kuflik-mauro-eraptis-wecker-internationalworkshoponpersonalizedaccesstoculturalheritage-2021', 'https://doi.org/10.1145/3450614.3461456', event);\">\n    International Workshop on Personalized Access to Cultural Heritage.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Ardissono, L.; Gena, C.; Kuflik, T.; <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>; E. Raptis, G. E.;  and Wecker, A.\n</span>\n\n  \n\n</span>\n\n  In <i>Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization</i>, of <i>UMAP '21</i>, pages 184–185, New York, NY, USA,  2021. Association for Computing Machinery\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1145/3450614.3461456\"\n     onclick=\"log_download('ardissono-gena-kuflik-mauro-eraptis-wecker-internationalworkshoponpersonalizedaccesstoculturalheritage-2021', 'https://doi.org/10.1145/3450614.3461456', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"International Workshop on Personalized Access to Cultural Heritage [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1145/3450614.3461456\"\n     onclick=\"log_download('ardissono-gena-kuflik-mauro-eraptis-wecker-internationalworkshoponpersonalizedaccesstoculturalheritage-2021', 'http://doi.org/10.1145/3450614.3461456', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ardissono-gena-kuflik-mauro-eraptis-wecker-internationalworkshoponpersonalizedaccesstoculturalheritage-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ardissono-gena-kuflik-mauro-eraptis-wecker-internationalworkshoponpersonalizedaccesstoculturalheritage-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{patch:2021b,\r\nauthor = {Ardissono, Liliana and Gena, Cristina and Kuflik, Tsvika and Mauro, Noemi and E. Raptis, George E. and Wecker, Alan},\r\ntitle = {International Workshop on Personalized Access to Cultural Heritage},\r\nyear = {2021},\r\npublisher = {Association for Computing Machinery},\r\naddress = {New York, NY, USA},\r\ndoi = {10.1145/3450614.3461456},\r\nurl_Link = {https://doi.org/10.1145/3450614.3461456},\r\nabstract = {ACM PATCH 2021, organized in conjunction with the 29th International Conference on User Modeling, Adaptation and Personalization, is the meeting point between researchers and practitioners of personalization in cultural heritage, aiming to enhance the user experience in digital and physical Cultural Heritage sites. The PATCH workshops started in 2007 and they are typically held in conjunction with UMAP, IUI and recently AVI Conference series. This paper summarizes the main ideas addressed in the articles accepted for presentation at PATCH 2021 and for publication in the workshop proceedings.},\r\nbooktitle = {Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization},\r\npages = {184–185},\r\nnumpages = {2},\r\nkeywords = {User Modeling., Personalization, Cultural Heritage},\r\nlocation = {Utrecht, Netherlands},\r\nseries = {UMAP &#x27;21}\r\n}\r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  ACM PATCH 2021, organized in conjunction with the 29th International Conference on User Modeling, Adaptation and Personalization, is the meeting point between researchers and practitioners of personalization in cultural heritage, aiming to enhance the user experience in digital and physical Cultural Heritage sites. The PATCH workshops started in 2007 and they are typically held in conjunction with UMAP, IUI and recently AVI Conference series. This paper summarizes the main ideas addressed in the articles accepted for presentation at PATCH 2021 and for publication in the workshop proceedings.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"mauro-ardissono-cena-cocomazzi-informationextractionforinclusiverecommendersystems-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://ceur-ws.org/Vol-2903/IUI21WS-SOCIALIZE-7.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'mauro-ardissono-cena-cocomazzi-informationextractionforinclusiverecommendersystems-2021', 'http://ceur-ws.org/Vol-2903/IUI21WS-SOCIALIZE-7.pdf', event);\">\n    Information Extraction for Inclusive Recommender Systems.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>; Ardissono, L.; Cena, F.;  and Cocomazzi, S.\n</span>\n\n  \n\n</span>\n\n  In <i>Joint Proceedings of the ACM IUI 2021 Workshops - Workshop on Social and Cultural Interaction with Personalized Interfaces (SOCIALIZE)</i>, volume 2903, of <i>CEUR Workshop Proceedings</i>, Online,  2021. CEUR-WS.org\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://ceur-ws.org/Vol-2903/IUI21WS-SOCIALIZE-7.pdf\"\n     onclick=\"log_download('mauro-ardissono-cena-cocomazzi-informationextractionforinclusiverecommendersystems-2021', 'http://ceur-ws.org/Vol-2903/IUI21WS-SOCIALIZE-7.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Information Extraction for Inclusive Recommender Systems [pdf]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2021_SOCIALIZE_Autism\"\n     onclick=\"log_download('mauro-ardissono-cena-cocomazzi-informationextractionforinclusiverecommendersystems-2021', 'http://www.di.unito.it/~mauro/publications/2021_SOCIALIZE_Autism', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Information Extraction for Inclusive Recommender Systems [link]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/http://ceur-ws.org/Vol-2903/IUI21WS-SOCIALIZE-7.pdf\"\n     onclick=\"log_download('mauro-ardissono-cena-cocomazzi-informationextractionforinclusiverecommendersystems-2021', 'http://doi.org/http://ceur-ws.org/Vol-2903/IUI21WS-SOCIALIZE-7.pdf', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mauro-ardissono-cena-cocomazzi-informationextractionforinclusiverecommendersystems-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mauro-ardissono-cena-cocomazzi-informationextractionforinclusiverecommendersystems-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{Mauro:21c,\r\n  author = {Noemi Mauro and Liliana Ardissono and Federica Cena and Stefano Cocomazzi},\r\n  title = {Information Extraction for Inclusive Recommender Systems},\r\n  year = {2021},\r\n  booktitle = {Joint Proceedings of the ACM IUI 2021 Workshops - Workshop on Social and Cultural Interaction with Personalized Interfaces (SOCIALIZE)},\r\n  address = {Online},\r\n  series    = {{CEUR} Workshop Proceedings},\r\n  volume    = {2903},\r\n  publisher = {CEUR-WS.org},\r\n  url_Link       = {http://ceur-ws.org/Vol-2903/IUI21WS-SOCIALIZE-7.pdf},\r\n  url_Paper = {2021_SOCIALIZE_Autism},\r\n  doi       = {http://ceur-ws.org/Vol-2903/IUI21WS-SOCIALIZE-7.pdf},\r\n  keywords = {Recommender Systems, Geographic Information Systems, People with Autism},\r\n  abstract = {Inclusive recommender systems should take both user preferences and the compatibility of items with the user into account in order to generate suggestions that can be appreciated and smoothly experienced at the same time. For instance, considering people in the Autism Spectrum Disorder, the sensory features of a place that is potentially interesting to the user are important to predict whether it might make her/him uncomfortable when visiting it. However, information about users’ experience with items can\r\nhardly be found in the metadata provided by online geographic sources.\r\nIn order to address this issue, we suggest to retrieve it from the consumer feedback collected by location-based services that publish item reviews. This type of feedback represents a sustainable information source because it is supported by people through a continuous reviewing activity. Thus, it deserves special attention as a potential data source. In this paper, we outline how this type of information can be retrieved and we discuss its benefits to Top-N recommendation of Points of Interest.\r\n}\r\n}\r\n\r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Inclusive recommender systems should take both user preferences and the compatibility of items with the user into account in order to generate suggestions that can be appreciated and smoothly experienced at the same time. For instance, considering people in the Autism Spectrum Disorder, the sensory features of a place that is potentially interesting to the user are important to predict whether it might make her/him uncomfortable when visiting it. However, information about users’ experience with items can hardly be found in the metadata provided by online geographic sources. In order to address this issue, we suggest to retrieve it from the consumer feedback collected by location-based services that publish item reviews. This type of feedback represents a sustainable information source because it is supported by people through a continuous reviewing activity. Thus, it deserves special attention as a potential data source. In this paper, we outline how this type of information can be retrieved and we discuss its benefits to Top-N recommendation of Points of Interest. \n</div>\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2020\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2020')\"\n      onkeypress=\"toggleGroup('group_2020')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2020</span>\n      <span class=\"bibbase_group_count\">\n        \n        (9)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"ardissono-mauro-acompositionalmodelofmultifacetedtrustforpersonalizeditemrecommendation-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2020_ESWA_Trust.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'ardissono-mauro-acompositionalmodelofmultifacetedtrustforpersonalizeditemrecommendation-2020', 'http://www.di.unito.it/~mauro/publications/2020_ESWA_Trust.pdf', event);\">\n    A Compositional Model of Multi-faceted Trust for Personalized Item Recommendation.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Ardissono, L.;  and <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>\n</span>\n\n  \n\n</span>\n\n  <i>Expert Systems with Applications</i>, 140: 112880.  2020.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.sciencedirect.com/science/article/pii/S0957417419305901\"\n     onclick=\"log_download('ardissono-mauro-acompositionalmodelofmultifacetedtrustforpersonalizeditemrecommendation-2020', 'https://www.sciencedirect.com/science/article/pii/S0957417419305901', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"A Compositional Model of Multi-faceted Trust for Personalized Item Recommendation [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2020_ESWA_Trust.pdf\"\n     onclick=\"log_download('ardissono-mauro-acompositionalmodelofmultifacetedtrustforpersonalizeditemrecommendation-2020', 'http://www.di.unito.it/~mauro/publications/2020_ESWA_Trust.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"A Compositional Model of Multi-faceted Trust for Personalized Item Recommendation [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1016/j.eswa.2019.112880\"\n     onclick=\"log_download('ardissono-mauro-acompositionalmodelofmultifacetedtrustforpersonalizeditemrecommendation-2020', 'http://doi.org/10.1016/j.eswa.2019.112880', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ardissono-mauro-acompositionalmodelofmultifacetedtrustforpersonalizeditemrecommendation-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ardissono-mauro-acompositionalmodelofmultifacetedtrustforpersonalizeditemrecommendation-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{Ardissono-Mauro:20,\r\ntitle = {A Compositional Model of Multi-faceted Trust for Personalized Item Recommendation},\r\njournal = {Expert Systems with Applications},\r\nvolume = {140},\r\npages = {112880},\r\nyear = {2020},\r\nissn = {0957-4174},\r\ndoi = {10.1016/j.eswa.2019.112880},\r\nurl_Link = {https://www.sciencedirect.com/science/article/pii/S0957417419305901},\r\nurl_Paper={2020_ESWA_Trust.pdf},\r\nauthor = {Liliana Ardissono and Noemi Mauro},\r\nkeywords = {Multi-faceted trust, Trust-based recommender systems, Compositional trust model, Matrix factorization},\r\nabstract = {Trust-based recommender systems improve rating prediction with respect to Collaborative Filtering by leveraging the additional information provided by a trust network among users to deal with the cold start problem. However, they are challenged by recent studies according to which people generally perceive the usage of data about social relations as a violation of their own privacy. In order to address this issue, we extend trust-based recommender systems with additional evidence about trust, based on public anonymous information, and we make them configurable with respect to the data that can be used in the given application domain: 1. We propose the Multi-faceted Trust Model (MTM) to define trust among users in a compositional way, possibly including or excluding the types of information it contains. MTM flexibly integrates social links with public anonymous feedback received by user profiles and user contributions in social networks. 2. We propose LOCABAL+, based on MTM, which extends the LOCABAL trust-based recommender system with multi-faceted trust and trust-based social regularization. Experiments carried out on two public datasets of item reviews show that, with a minor loss of user coverage, LOCABAL+ outperforms state-of-the art trust-based recommender systems and Collaborative Filtering in accuracy, ranking of items and error minimization both when it uses complete information about trust and when it ignores social relations. The combination of MTM with LOCABAL+ thus represents a promising alternative to state-of-the-art trust-based recommender systems.}\r\n}\r\n\r\n\r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Trust-based recommender systems improve rating prediction with respect to Collaborative Filtering by leveraging the additional information provided by a trust network among users to deal with the cold start problem. However, they are challenged by recent studies according to which people generally perceive the usage of data about social relations as a violation of their own privacy. In order to address this issue, we extend trust-based recommender systems with additional evidence about trust, based on public anonymous information, and we make them configurable with respect to the data that can be used in the given application domain: 1. We propose the Multi-faceted Trust Model (MTM) to define trust among users in a compositional way, possibly including or excluding the types of information it contains. MTM flexibly integrates social links with public anonymous feedback received by user profiles and user contributions in social networks. 2. We propose LOCABAL+, based on MTM, which extends the LOCABAL trust-based recommender system with multi-faceted trust and trust-based social regularization. Experiments carried out on two public datasets of item reviews show that, with a minor loss of user coverage, LOCABAL+ outperforms state-of-the art trust-based recommender systems and Collaborative Filtering in accuracy, ranking of items and error minimization both when it uses complete information about trust and when it ignores social relations. The combination of MTM with LOCABAL+ thus represents a promising alternative to state-of-the-art trust-based recommender systems.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"mauro-ardissono-lucenteforte-facetedsearchofheterogeneousgeographicinformationfordynamicmapprojection-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2020_IPAM_Faceted.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'mauro-ardissono-lucenteforte-facetedsearchofheterogeneousgeographicinformationfordynamicmapprojection-2020', 'http://www.di.unito.it/~mauro/publications/2020_IPAM_Faceted.pdf', event);\">\n    Faceted Search of Heterogeneous Geographic Information for Dynamic Map Projection.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>; Ardissono, L.;  and Lucenteforte, M.\n</span>\n\n  \n\n</span>\n\n  <i>Information Processing & Management</i>, 57(4): 102257.  2020.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.sciencedirect.com/science/article/abs/pii/S0306457319311987\"\n     onclick=\"log_download('mauro-ardissono-lucenteforte-facetedsearchofheterogeneousgeographicinformationfordynamicmapprojection-2020', 'https://www.sciencedirect.com/science/article/abs/pii/S0306457319311987', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Faceted Search of Heterogeneous Geographic Information for Dynamic Map Projection [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2020_IPAM_Faceted.pdf\"\n     onclick=\"log_download('mauro-ardissono-lucenteforte-facetedsearchofheterogeneousgeographicinformationfordynamicmapprojection-2020', 'http://www.di.unito.it/~mauro/publications/2020_IPAM_Faceted.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Faceted Search of Heterogeneous Geographic Information for Dynamic Map Projection [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1016/j.ipm.2020.102257\"\n     onclick=\"log_download('mauro-ardissono-lucenteforte-facetedsearchofheterogeneousgeographicinformationfordynamicmapprojection-2020', 'http://doi.org/10.1016/j.ipm.2020.102257', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mauro-ardissono-lucenteforte-facetedsearchofheterogeneousgeographicinformationfordynamicmapprojection-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mauro-ardissono-lucenteforte-facetedsearchofheterogeneousgeographicinformationfordynamicmapprojection-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{Mauro-etal:20,\r\ntitle = &quot;Faceted Search of Heterogeneous Geographic Information for Dynamic Map Projection&quot;,\r\njournal = &quot;Information Processing \\&amp; Management&quot;,\r\nvolume = &quot;57&quot;,\r\nnumber = &quot;4&quot;,\r\npages = &quot;102257&quot;,\r\nyear = &quot;2020&quot;,\r\nissn = &quot;0306-4573&quot;,\r\ndoi = &quot;10.1016/j.ipm.2020.102257&quot;,\r\nurl_Link = &quot;https://www.sciencedirect.com/science/article/abs/pii/S0306457319311987&quot;,\r\nurl_Paper = &quot;2020_IPAM_Faceted.pdf&quot;,\r\nauthor = &quot;Noemi Mauro and Liliana Ardissono and Maurizio Lucenteforte&quot;,\r\nkeywords = {Faceted information exploration, Dynamic projection of geographic maps, GIS, Geographic information search},\r\nabstract = {This paper proposes a faceted information exploration model that supports coarse-grained and fine-grained focusing of geographic maps by offering a graphical representation of data attributes within interactive widgets. The proposed approach enables (i) a multi-category projection of long-lasting geographic maps, based on the proposal of efficient facets for data exploration in sparse and noisy datasets, and (ii) an interactive representation of the search context based on widgets that support data visualization, faceted exploration, category-based information hiding and transparency of results at the same time. The integration of our model with a semantic representation of geographical knowledge supports the exploration of information retrieved from heterogeneous data sources, such as Public Open Data and OpenStreetMap. We evaluated our model with users in the OnToMap collaborative Web GIS. The experimental results show that, when working on geographic maps populated with multiple data categories, it outperforms simple category-based map projection and traditional faceted search tools, such as checkboxes, in both user performance and experience.}\r\n}\r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  This paper proposes a faceted information exploration model that supports coarse-grained and fine-grained focusing of geographic maps by offering a graphical representation of data attributes within interactive widgets. The proposed approach enables (i) a multi-category projection of long-lasting geographic maps, based on the proposal of efficient facets for data exploration in sparse and noisy datasets, and (ii) an interactive representation of the search context based on widgets that support data visualization, faceted exploration, category-based information hiding and transparency of results at the same time. The integration of our model with a semantic representation of geographical knowledge supports the exploration of information retrieved from heterogeneous data sources, such as Public Open Data and OpenStreetMap. We evaluated our model with users in the OnToMap collaborative Web GIS. The experimental results show that, when working on geographic maps populated with multiple data categories, it outperforms simple category-based map projection and traditional faceted search tools, such as checkboxes, in both user performance and experience.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"mauro-ardissono-capecchi-galioto-serviceawareinteractivepresentationofitemsfordecisionmaking-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2020_APPLIEDSC_Apart_Mon.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'mauro-ardissono-capecchi-galioto-serviceawareinteractivepresentationofitemsfordecisionmaking-2020', 'http://www.di.unito.it/~mauro/publications/2020_APPLIEDSC_Apart_Mon.pdf', event);\">\n    Service-Aware Interactive Presentation of Items for Decision-Making.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>; Ardissono, L.; Capecchi, S.;  and Galioto, R.\n</span>\n\n  \n\n</span>\n\n  <i>Applied Sciences</i>, 10(16): 5599.  2020.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.mdpi.com/2076-3417/10/16/5599\"\n     onclick=\"log_download('mauro-ardissono-capecchi-galioto-serviceawareinteractivepresentationofitemsfordecisionmaking-2020', 'https://www.mdpi.com/2076-3417/10/16/5599', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Service-Aware Interactive Presentation of Items for Decision-Making [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2020_APPLIEDSC_Apart_Mon.pdf\"\n     onclick=\"log_download('mauro-ardissono-capecchi-galioto-serviceawareinteractivepresentationofitemsfordecisionmaking-2020', 'http://www.di.unito.it/~mauro/publications/2020_APPLIEDSC_Apart_Mon.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Service-Aware Interactive Presentation of Items for Decision-Making [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.3390/app10165599\"\n     onclick=\"log_download('mauro-ardissono-capecchi-galioto-serviceawareinteractivepresentationofitemsfordecisionmaking-2020', 'http://doi.org/10.3390/app10165599', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mauro-ardissono-capecchi-galioto-serviceawareinteractivepresentationofitemsfordecisionmaking-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mauro-ardissono-capecchi-galioto-serviceawareinteractivepresentationofitemsfordecisionmaking-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{Mauro-etal:20a,\r\ntitle = &quot;Service-Aware Interactive Presentation of Items for Decision-Making&quot;,\r\njournal = &quot;Applied Sciences&quot;,\r\nvolume = &quot;10&quot;,\r\nnumber = &quot;16&quot;,\r\npages = &quot;5599&quot;,\r\nyear = &quot;2020&quot;,\r\nissn = &quot;&quot;,\r\ndoi = &quot;10.3390/app10165599&quot;,\r\nurl_Link = &quot;https://www.mdpi.com/2076-3417/10/16/5599&quot;,\r\nurl_Paper = &quot;2020_APPLIEDSC_Apart_Mon.pdf&quot;,\r\nauthor = &quot;Noemi Mauro and Liliana Ardissono and Sara Capecchi and Rosario Galioto&quot;,\r\nkeywords =&quot;Interactive information exploration; Information visualization; Service design; Service Journey Maps&quot;,\r\nabstract = &quot;Current information exploration models present low-level features or technical aspects related to the paradigm used to generate results. While this may increase transparency, it does not help the user form a personal opinion about items because it does not describe the overall experience with them. In order to address this issue, we propose the INTERactivE viSualizaTion model (INTEREST) that supports the exploration and analysis of search results by means of a graphical representation of consumer feedback aimed at making the user aware of the service properties in all the stages of fruition, focusing on the data that is most relevant to her/him. INTEREST is based on the Service Journey Maps for the design and description of user experience with services. We applied it to the home booking domain by developing the Apartment Monitoring application that supports overviewing and analyzing online reviews about rented homes. In a user study, we compared the decision-making support provided by our application with that of a baseline model that enables a temporal filtering of consumer feedback. We found out that Apartment Monitoring outperforms the baseline in user experience, user awareness of item properties, and user control during the interaction with the system. In particular, according to the participants of the study, Apartment Monitoring describes the expectations about the homes and it supports their selection in a more effective way than the baseline. These findings encourage moving from a low-level description of item properties to a service-oriented one in order to improve users’ decision-making capabilities.&quot;\r\n}\r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Current information exploration models present low-level features or technical aspects related to the paradigm used to generate results. While this may increase transparency, it does not help the user form a personal opinion about items because it does not describe the overall experience with them. In order to address this issue, we propose the INTERactivE viSualizaTion model (INTEREST) that supports the exploration and analysis of search results by means of a graphical representation of consumer feedback aimed at making the user aware of the service properties in all the stages of fruition, focusing on the data that is most relevant to her/him. INTEREST is based on the Service Journey Maps for the design and description of user experience with services. We applied it to the home booking domain by developing the Apartment Monitoring application that supports overviewing and analyzing online reviews about rented homes. In a user study, we compared the decision-making support provided by our application with that of a baseline model that enables a temporal filtering of consumer feedback. We found out that Apartment Monitoring outperforms the baseline in user experience, user awareness of item properties, and user control during the interaction with the system. In particular, according to the participants of the study, Apartment Monitoring describes the expectations about the homes and it supports their selection in a more effective way than the baseline. These findings encourage moving from a low-level description of item properties to a service-oriented one in order to improve users’ decision-making capabilities.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"mauro-ardissono-cena-personalizedrecommendationofpoistopeoplewithautism-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2020_UMAP_Autism.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'mauro-ardissono-cena-personalizedrecommendationofpoistopeoplewithautism-2020', 'http://www.di.unito.it/~mauro/publications/2020_UMAP_Autism.pdf', event);\">\n    Personalized Recommendation of PoIs to People with Autism.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>; Ardissono, L.;  and Cena, F.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization</i>, of <i>UMAP '20</i>, pages 163–172, New York, NY, USA,  2020. Association for Computing Machinery\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1145/3340631.3394845\"\n     onclick=\"log_download('mauro-ardissono-cena-personalizedrecommendationofpoistopeoplewithautism-2020', 'https://doi.org/10.1145/3340631.3394845', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Personalized Recommendation of PoIs to People with Autism [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2020_UMAP_Autism.pdf\"\n     onclick=\"log_download('mauro-ardissono-cena-personalizedrecommendationofpoistopeoplewithautism-2020', 'http://www.di.unito.it/~mauro/publications/2020_UMAP_Autism.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Personalized Recommendation of PoIs to People with Autism [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1145/3340631.3394845\"\n     onclick=\"log_download('mauro-ardissono-cena-personalizedrecommendationofpoistopeoplewithautism-2020', 'http://doi.org/10.1145/3340631.3394845', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mauro-ardissono-cena-personalizedrecommendationofpoistopeoplewithautism-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mauro-ardissono-cena-personalizedrecommendationofpoistopeoplewithautism-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{Mauro:2020,\r\nauthor = {Mauro, Noemi and Ardissono, Liliana and Cena, Federica},\r\ntitle = {Personalized Recommendation of PoIs to People with Autism},\r\nyear = {2020},\r\nisbn = {9781450368612},\r\npublisher = {Association for Computing Machinery},\r\naddress = {New York, NY, USA},\r\nurl_Link = {https://doi.org/10.1145/3340631.3394845},\r\nurl_Paper = {2020_UMAP_Autism.pdf},\r\ndoi = {10.1145/3340631.3394845},\r\nabstract = {The suggestion of Points of Interest to people with Autism Spectrum Disorder (ASD) challenges recommender systems research because these users&#x27; perception of places is influenced by idiosyncratic sensory aversions which can mine their experience by causing stress and anxiety. Therefore, managing individual preferences is not enough to provide these people with suitable recommendations. In order to address this issue, we propose a Top-N recommendation model that combines the user&#x27;s idiosyncratic aversions with her/his preferences in a personalized way to suggest the most compatible and likable Points of Interest for her/him. We are interested in finding a user-specific balance of compatibility and interest within a recommendation model that integrates heterogeneous evaluation criteria to appropriately take these aspects into account. We tested our model on both ASD and &quot;neurotypical&quot; people. The evaluation results show that, on both groups, our model outperforms in accuracy and ranking capability the recommender systems based on item compatibility, on user preferences, or which integrate these two aspects by means of a uniform evaluation model.},\r\nbooktitle = {Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization},\r\npages = {163–172},\r\nnumpages = {10},\r\nkeywords = {autism spectrum disorder, recommender systems, accessibility},\r\nlocation = {Genoa, Italy},\r\nseries = {UMAP &#x27;20}\r\n}\r\n\r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  The suggestion of Points of Interest to people with Autism Spectrum Disorder (ASD) challenges recommender systems research because these users' perception of places is influenced by idiosyncratic sensory aversions which can mine their experience by causing stress and anxiety. Therefore, managing individual preferences is not enough to provide these people with suitable recommendations. In order to address this issue, we propose a Top-N recommendation model that combines the user's idiosyncratic aversions with her/his preferences in a personalized way to suggest the most compatible and likable Points of Interest for her/him. We are interested in finding a user-specific balance of compatibility and interest within a recommendation model that integrates heterogeneous evaluation criteria to appropriately take these aspects into account. We tested our model on both ASD and \"neurotypical\" people. The evaluation results show that, on both groups, our model outperforms in accuracy and ranking capability the recommender systems based on item compatibility, on user preferences, or which integrate these two aspects by means of a uniform evaluation model.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"cena-mauro-ardissono-mattutino-rapp-cocomazzi-brighenti-keller-personalizedtouristguideforpeoplewithautism-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2020_PATCH_Autism.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'cena-mauro-ardissono-mattutino-rapp-cocomazzi-brighenti-keller-personalizedtouristguideforpeoplewithautism-2020', 'http://www.di.unito.it/~mauro/publications/2020_PATCH_Autism.pdf', event);\">\n    Personalized Tourist Guide for People with Autism.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Cena, F.; <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>; Ardissono, L.; Mattutino, C.; Rapp, A.; Cocomazzi, S.; Brighenti, S.;  and Keller, R.\n</span>\n\n  \n\n</span>\n\n  In <i>Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization</i>, of <i>UMAP ’20 Adjunct</i>, pages 347–351, Genoa, Italy,  2020. Association for Computing Machinery\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1145/3386392.3399280\"\n     onclick=\"log_download('cena-mauro-ardissono-mattutino-rapp-cocomazzi-brighenti-keller-personalizedtouristguideforpeoplewithautism-2020', 'https://doi.org/10.1145/3386392.3399280', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Personalized Tourist Guide for People with Autism [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2020_PATCH_Autism.pdf\"\n     onclick=\"log_download('cena-mauro-ardissono-mattutino-rapp-cocomazzi-brighenti-keller-personalizedtouristguideforpeoplewithautism-2020', 'http://www.di.unito.it/~mauro/publications/2020_PATCH_Autism.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Personalized Tourist Guide for People with Autism [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1145/3386392.3399280\"\n     onclick=\"log_download('cena-mauro-ardissono-mattutino-rapp-cocomazzi-brighenti-keller-personalizedtouristguideforpeoplewithautism-2020', 'http://doi.org/10.1145/3386392.3399280', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/cena-mauro-ardissono-mattutino-rapp-cocomazzi-brighenti-keller-personalizedtouristguideforpeoplewithautism-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('cena-mauro-ardissono-mattutino-rapp-cocomazzi-brighenti-keller-personalizedtouristguideforpeoplewithautism-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{Cena:20,\r\nauthor = {Cena, Federica and Mauro, Noemi and Ardissono, Liliana and Mattutino, Claudio and Rapp, Amon and Cocomazzi, Stefano and Brighenti, Stefania and Keller, Roberto},\r\ntitle = {Personalized Tourist Guide for People with Autism},\r\nyear = {2020},\r\nisbn = {9781450379502},\r\npublisher = {Association for Computing Machinery},\r\nlocation = {New York, NY, USA},\r\nurl_Link = {https://doi.org/10.1145/3386392.3399280},\r\nurl_Paper = {2020_PATCH_Autism.pdf},\r\ndoi = {10.1145/3386392.3399280},\r\nbooktitle = {Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization},\r\npages = {347–351},\r\nnumpages = {5},\r\nkeywords = {autism spectrum disorder, accessibility, recommender systems, cultural heritage exploration, tourism},\r\naddress = {Genoa, Italy},\r\nseries = {UMAP ’20 Adjunct},\r\nabstract = {Cultural Heritage exploration is interesting for the development of inclusive tourist guides because it exposes visitors to different types of challenges, from steering content recommendation to visitors&#x27; interests and cognitive capabilities, to the suggestion of places that can be effectively reached and visited under different types of constraints: e.g., temporal and physical ones. In this work we are interested in the needs of people with Autism in order to support them in the exploration of a geographic area. Specifically, this paper presents a mobile tourist guide that we are developing to help people in visiting new places. The app is an evolution of PIUMA (Personalised Interactive Urban Maps for Autism), conceived to help autistic citizens in their everyday movements. It shows a map tailored to users with Autism Spectrum Disorder. In particular, it presents a personalized selection of safe Points of Interest, i.e., places that are, at the same time, interesting for the user and have &quot;safe&quot; characteristics from the sensory point of view, such as being quiet, scarcely crowded, or with smooth lights. In this paper, we present how we intend to extend PIUMA to support tourists.},\r\n}\r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Cultural Heritage exploration is interesting for the development of inclusive tourist guides because it exposes visitors to different types of challenges, from steering content recommendation to visitors' interests and cognitive capabilities, to the suggestion of places that can be effectively reached and visited under different types of constraints: e.g., temporal and physical ones. In this work we are interested in the needs of people with Autism in order to support them in the exploration of a geographic area. Specifically, this paper presents a mobile tourist guide that we are developing to help people in visiting new places. The app is an evolution of PIUMA (Personalised Interactive Urban Maps for Autism), conceived to help autistic citizens in their everyday movements. It shows a map tailored to users with Autism Spectrum Disorder. In particular, it presents a personalized selection of safe Points of Interest, i.e., places that are, at the same time, interesting for the user and have \"safe\" characteristics from the sensory point of view, such as being quiet, scarcely crowded, or with smooth lights. In this paper, we present how we intend to extend PIUMA to support tourists.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"rapp-cena-mattutino-schifanella-mauro-ardissono-boella-brighenti-etal-howcanweengagepeopletomapplacessuitablefortheautisticpopulationacrowdsourcedapproach-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://ceur-ws.org/Vol-2730/paper4.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'rapp-cena-mattutino-schifanella-mauro-ardissono-boella-brighenti-etal-howcanweengagepeopletomapplacessuitablefortheautisticpopulationacrowdsourcedapproach-2020', 'http://ceur-ws.org/Vol-2730/paper4.pdf', event);\">\n    How Can We Engage People to Map Places Suitable for the Autistic Population? A Crowdsourced Approach.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Rapp, A.; Cena, F.; Mattutino, C.; Schifanella, C.; <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>; Ardissono, L.; Boella, G.; Brighenti, S.; Castaldo, R.; Keller, R.; Boldi, A.;  and Tirassa, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the Second Symposium on Psychology-Based Technologies (PSYCHOBIT 2020)</i>, volume 2730, of <i>CEUR Workshop Proceedings</i>, Naples, Italy,  2020. CEUR-WS.org\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://ceur-ws.org/Vol-2730/paper4.pdf\"\n     onclick=\"log_download('rapp-cena-mattutino-schifanella-mauro-ardissono-boella-brighenti-etal-howcanweengagepeopletomapplacessuitablefortheautisticpopulationacrowdsourcedapproach-2020', 'http://ceur-ws.org/Vol-2730/paper4.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"How Can We Engage People to Map Places Suitable for the Autistic Population? A Crowdsourced Approach [pdf]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2020_PSYCHOBIT.pdf\"\n     onclick=\"log_download('rapp-cena-mattutino-schifanella-mauro-ardissono-boella-brighenti-etal-howcanweengagepeopletomapplacessuitablefortheautisticpopulationacrowdsourcedapproach-2020', 'http://www.di.unito.it/~mauro/publications/2020_PSYCHOBIT.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"How Can We Engage People to Map Places Suitable for the Autistic Population? A Crowdsourced Approach [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/http://ceur-ws.org/Vol-2730/paper4.pdf\"\n     onclick=\"log_download('rapp-cena-mattutino-schifanella-mauro-ardissono-boella-brighenti-etal-howcanweengagepeopletomapplacessuitablefortheautisticpopulationacrowdsourcedapproach-2020', 'http://doi.org/http://ceur-ws.org/Vol-2730/paper4.pdf', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/rapp-cena-mattutino-schifanella-mauro-ardissono-boella-brighenti-etal-howcanweengagepeopletomapplacessuitablefortheautisticpopulationacrowdsourcedapproach-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('rapp-cena-mattutino-schifanella-mauro-ardissono-boella-brighenti-etal-howcanweengagepeopletomapplacessuitablefortheautisticpopulationacrowdsourcedapproach-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{Rapp:20,\r\n  author = {Amon Rapp and Federica Cena and Claudio Mattutino and Claudio Schifanella and Noemi Mauro and Liliana Ardissono and Guido Boella and  Stefania Brighenti and Romina Castaldo and Roberto Keller and Arianna Boldi and Maurizio Tirassa},\r\n  title = {How Can We Engage People to Map Places Suitable for the Autistic Population? {A} Crowdsourced Approach},\r\n  year = {2020},\r\n  booktitle = {Proceedings of the Second Symposium on Psychology-Based Technologies (PSYCHOBIT 2020)},\r\n  address = {Naples, Italy},\r\n  series    = {{CEUR} Workshop Proceedings},\r\n  volume    = {2730},\r\n  publisher = {CEUR-WS.org},\r\n  url_Link       = {http://ceur-ws.org/Vol-2730/paper4.pdf},\r\n  url_Paper = {2020_PSYCHOBIT.pdf},\r\n  doi       = {http://ceur-ws.org/Vol-2730/paper4.pdf},\r\n  keywords = {Autism, Crowdsourcing, Maps},\r\n  abstract = {The crowdsourcing paradigm applied to the urban environment (i.e.,\r\n  people while moving can provide data from different places) may play a fundamental\r\n  role in transforming users in significant actors of the places in which\r\n  they live. In the last years, several crowdsourcing services have been developed\r\n  to allow citizens to collaborate, by collecting data about urban accessibility.\r\n  This effort, however, focused mainly on physical disabilities. We aim to help\r\n  people with Autism Spectrum Disorder (ASD) move across and live in urban\r\n  environments by means of a crowdsourced personalized map. The map is populated\r\n  with comments and reviews by people with ASD and caregivers, in order\r\n  to highlight places, routes, and activities (e.g., less crowded routes, quiet places)\r\n  to make ASD people’s daily lives more comfortable.}\r\n}\r\n\r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  The crowdsourcing paradigm applied to the urban environment (i.e., people while moving can provide data from different places) may play a fundamental role in transforming users in significant actors of the places in which they live. In the last years, several crowdsourcing services have been developed to allow citizens to collaborate, by collecting data about urban accessibility. This effort, however, focused mainly on physical disabilities. We aim to help people with Autism Spectrum Disorder (ASD) move across and live in urban environments by means of a crowdsourced personalized map. The map is populated with comments and reviews by people with ASD and caregivers, in order to highlight places, routes, and activities (e.g., less crowded routes, quiet places) to make ASD people’s daily lives more comfortable.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"mauro-izzi-pellegrino-ardissono-grandi-lucenteforte-segnan-facetedexplorationofculturalheritage-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2020_PATCH_Faceted.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'mauro-izzi-pellegrino-ardissono-grandi-lucenteforte-segnan-facetedexplorationofculturalheritage-2020', 'http://www.di.unito.it/~mauro/publications/2020_PATCH_Faceted.pdf', event);\">\n    Faceted Exploration of Cultural Heritage.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>; Izzi, G.; Pellegrino, M.; Ardissono, L.; Grandi, C.; Lucenteforte, M.;  and Segnan, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization</i>, of <i>UMAP ’20 Adjunct</i>, pages 340–346, Genoa, Italy,  2020. Association for Computing Machinery\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1145/3386392.3399279\"\n     onclick=\"log_download('mauro-izzi-pellegrino-ardissono-grandi-lucenteforte-segnan-facetedexplorationofculturalheritage-2020', 'https://doi.org/10.1145/3386392.3399279', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Faceted Exploration of Cultural Heritage [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2020_PATCH_Faceted.pdf\"\n     onclick=\"log_download('mauro-izzi-pellegrino-ardissono-grandi-lucenteforte-segnan-facetedexplorationofculturalheritage-2020', 'http://www.di.unito.it/~mauro/publications/2020_PATCH_Faceted.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Faceted Exploration of Cultural Heritage [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1145/3386392.3399279\"\n     onclick=\"log_download('mauro-izzi-pellegrino-ardissono-grandi-lucenteforte-segnan-facetedexplorationofculturalheritage-2020', 'http://doi.org/10.1145/3386392.3399279', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mauro-izzi-pellegrino-ardissono-grandi-lucenteforte-segnan-facetedexplorationofculturalheritage-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mauro-izzi-pellegrino-ardissono-grandi-lucenteforte-segnan-facetedexplorationofculturalheritage-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{Mauro:20a,\r\nauthor = {Noemi Mauro and Izzi, Gianmarco and Pellegrino, Marco and Ardissono, Liliana and Grandi, Claudio and Lucenteforte, Maurizio and Segnan, Marino},\r\ntitle = {Faceted Exploration of Cultural Heritage},\r\nyear = {2020},\r\nisbn = {9781450379502},\r\npublisher = {Association for Computing Machinery},\r\nlocation = {New York, NY, USA},\r\nurl_Link = {https://doi.org/10.1145/3386392.3399279},\r\nurl_Paper={2020_PATCH_Faceted.pdf},\r\ndoi = {10.1145/3386392.3399279},\r\nbooktitle = {Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization},\r\npages = {340–346},\r\nnumpages = {7},\r\nkeywords = {dynamic projection of geographic maps, interactive user interfaces for ch applications, geographic information search, faceted information exploration},\r\naddress = {Genoa, Italy},\r\nseries = {UMAP ’20 Adjunct},\r\nabstract = {The richness of Cultural Heritage (CH) sites exposes tourists to an information overload which makes it difficult to efficiently select the items that they like and can practically visit within a tour.Faceted information exploration has been proposed as a solution to analyze large sets of data. However, most works focus on the inspection of a single type of information, e.g., hotels or music. In contrast, CH items are heterogeneous: they include natural and artificial monuments and different types of artworks which might be visited within a single tour. Moreover, CH sites are often visited in group, thus raising the expectation that all the involved people share information and decisions about what to do.In order to address this issue, we propose a map-based faceted exploration model that makes it possible to create custom, long-lasting maps representing a shared information space for user collaboration, and temporally project these maps on the basis of fine-grained filters which help users focus on items associated to short-term, specific interests. Our model supports the user in the organization and filtering of CH information on the basis of multiple perspectives related to the attributes of items. We propose graphical widgets to support interactive data visualization, faceted exploration, category-based information hiding and transparency of results at the same time. The widgets are based on the sunburst diagram, which compactly displays visualization criteria on data categories by showing facets and facet values in a circular structure.},\r\n}\r\n    \r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  The richness of Cultural Heritage (CH) sites exposes tourists to an information overload which makes it difficult to efficiently select the items that they like and can practically visit within a tour.Faceted information exploration has been proposed as a solution to analyze large sets of data. However, most works focus on the inspection of a single type of information, e.g., hotels or music. In contrast, CH items are heterogeneous: they include natural and artificial monuments and different types of artworks which might be visited within a single tour. Moreover, CH sites are often visited in group, thus raising the expectation that all the involved people share information and decisions about what to do.In order to address this issue, we propose a map-based faceted exploration model that makes it possible to create custom, long-lasting maps representing a shared information space for user collaboration, and temporally project these maps on the basis of fine-grained filters which help users focus on items associated to short-term, specific interests. Our model supports the user in the organization and filtering of CH information on the basis of multiple perspectives related to the attributes of items. We propose graphical widgets to support interactive data visualization, faceted exploration, category-based information hiding and transparency of results at the same time. The widgets are based on the sunburst diagram, which compactly displays visualization criteria on data categories by showing facets and facet values in a circular structure.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"ardissono-mauro-raptis-wecker-workshoponpersonalizedaccesstoculturalheritagepatch20chairswelcome-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://doi.org/10.1145/3386392.3399275\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'ardissono-mauro-raptis-wecker-workshoponpersonalizedaccesstoculturalheritagepatch20chairswelcome-2020', 'https://doi.org/10.1145/3386392.3399275', event);\">\n    Workshop on Personalized Access to Cultural Heritage: PATCH'20 Chairs' Welcome.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Ardissono, L.; <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>; Raptis, G. E.;  and Wecker, A.\n</span>\n\n  \n\n</span>\n\n  In <i>Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization</i>, of <i>UMAP '20 Adjunct</i>, pages 315–316, New York, NY, USA,  2020. Association for Computing Machinery\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1145/3386392.3399275\"\n     onclick=\"log_download('ardissono-mauro-raptis-wecker-workshoponpersonalizedaccesstoculturalheritagepatch20chairswelcome-2020', 'https://doi.org/10.1145/3386392.3399275', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Workshop on Personalized Access to Cultural Heritage: PATCH&#x27;20 Chairs&#x27; Welcome [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1145/3386392.3399275\"\n     onclick=\"log_download('ardissono-mauro-raptis-wecker-workshoponpersonalizedaccesstoculturalheritagepatch20chairswelcome-2020', 'http://doi.org/10.1145/3386392.3399275', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ardissono-mauro-raptis-wecker-workshoponpersonalizedaccesstoculturalheritagepatch20chairswelcome-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ardissono-mauro-raptis-wecker-workshoponpersonalizedaccesstoculturalheritagepatch20chairswelcome-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{patch2020b,\r\nauthor = {Ardissono, Liliana and Mauro, Noemi and Raptis, George E. and Wecker, Alan},\r\ntitle = {Workshop on Personalized Access to Cultural Heritage: PATCH&#x27;20 Chairs&#x27; Welcome},\r\nyear = {2020},\r\nisbn = {9781450379502},\r\npublisher = {Association for Computing Machinery},\r\naddress = {New York, NY, USA},\r\nurl_Link = {https://doi.org/10.1145/3386392.3399275},\r\ndoi = {10.1145/3386392.3399275},\r\nbooktitle = {Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization},\r\npages = {315–316},\r\nnumpages = {2},\r\nlocation = {Genoa, Italy},\r\nseries = {UMAP &#x27;20 Adjunct}\r\n}\r\n\r\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"ardissono-mauro-raptis-wecker-workshoponpersonalizedaccesstoculturalheritagepatch20-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://doi.org/10.1145/3340631.3398670\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'ardissono-mauro-raptis-wecker-workshoponpersonalizedaccesstoculturalheritagepatch20-2020', 'https://doi.org/10.1145/3340631.3398670', event);\">\n    Workshop on Personalized Access to Cultural Heritage: PATCH'20.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Ardissono, L.; <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>; Raptis, G. E.;  and Wecker, A.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization</i>, of <i>UMAP '20</i>, pages 396–397, New York, NY, USA,  2020. Association for Computing Machinery\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1145/3340631.3398670\"\n     onclick=\"log_download('ardissono-mauro-raptis-wecker-workshoponpersonalizedaccesstoculturalheritagepatch20-2020', 'https://doi.org/10.1145/3340631.3398670', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Workshop on Personalized Access to Cultural Heritage: PATCH&#x27;20 [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1145/3340631.3398670\"\n     onclick=\"log_download('ardissono-mauro-raptis-wecker-workshoponpersonalizedaccesstoculturalheritagepatch20-2020', 'http://doi.org/10.1145/3340631.3398670', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ardissono-mauro-raptis-wecker-workshoponpersonalizedaccesstoculturalheritagepatch20-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ardissono-mauro-raptis-wecker-workshoponpersonalizedaccesstoculturalheritagepatch20-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{patch2020a,\r\nauthor = {Ardissono, Liliana and Mauro, Noemi and Raptis, George E. and Wecker, Alan},\r\ntitle = {Workshop on Personalized Access to Cultural Heritage: PATCH&#x27;20},\r\nyear = {2020},\r\nisbn = {9781450368612},\r\npublisher = {Association for Computing Machinery},\r\naddress = {New York, NY, USA},\r\nurl_Link = {https://doi.org/10.1145/3340631.3398670},\r\ndoi = {10.1145/3340631.3398670},\r\nbooktitle = {Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization},\r\npages = {396–397},\r\nnumpages = {2},\r\nkeywords = {user modeling, cultural heritage, personalization},\r\nlocation = {Genoa, Italy},\r\nseries = {UMAP &#x27;20}\r\n}\r\n\r\n\r\n\r\n</pre>\n</div>\n\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2019\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2019')\"\n      onkeypress=\"toggleGroup('group_2019')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2019</span>\n      <span class=\"bibbase_group_count\">\n        \n        (5)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"ludewig-mauro-latifi-jannach-performancecomparisonofneuralandnonneuralapproachestosessionbasedrecommendation-2019\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2019_RecSys_Neural.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'ludewig-mauro-latifi-jannach-performancecomparisonofneuralandnonneuralapproachestosessionbasedrecommendation-2019', 'http://www.di.unito.it/~mauro/publications/2019_RecSys_Neural.pdf', event);\">\n    Performance Comparison of Neural and Non-neural Approaches to Session-based Recommendation.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://bibbase.org/show?msg=embed&bib=https://dblp.org/pid/184/2008.bib\">Ludewig, M.</a>; <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>; Latifi, S.;  and Jannach, D.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 13th ACM Conference on Recommender Systems</i>, of <i>RecSys '19</i>, pages 462–466, Copenhagen, Denmark,  2019. ACM\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://doi.acm.org/10.1145/3298689.3347041\"\n     onclick=\"log_download('ludewig-mauro-latifi-jannach-performancecomparisonofneuralandnonneuralapproachestosessionbasedrecommendation-2019', 'http://doi.acm.org/10.1145/3298689.3347041', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Performance Comparison of Neural and Non-neural Approaches to Session-based Recommendation [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2019_RecSys_Neural.pdf\"\n     onclick=\"log_download('ludewig-mauro-latifi-jannach-performancecomparisonofneuralandnonneuralapproachestosessionbasedrecommendation-2019', 'http://www.di.unito.it/~mauro/publications/2019_RecSys_Neural.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Performance Comparison of Neural and Non-neural Approaches to Session-based Recommendation [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1145/3298689.3347041\"\n     onclick=\"log_download('ludewig-mauro-latifi-jannach-performancecomparisonofneuralandnonneuralapproachestosessionbasedrecommendation-2019', 'http://doi.org/10.1145/3298689.3347041', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ludewig-mauro-latifi-jannach-performancecomparisonofneuralandnonneuralapproachestosessionbasedrecommendation-2019\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ludewig-mauro-latifi-jannach-performancecomparisonofneuralandnonneuralapproachestosessionbasedrecommendation-2019')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{Ludewig:2019,\r\n author = {Ludewig, Malte and Noemi Mauro and Latifi, Sara and Jannach, Dietmar},\r\n title = {Performance Comparison of Neural and Non-neural Approaches to Session-based Recommendation},\r\n booktitle = {Proceedings of the 13th ACM Conference on Recommender Systems},\r\n series = {RecSys &#x27;19},\r\n year = {2019},\r\n isbn = {978-1-4503-6243-6},\r\n address = {Copenhagen, Denmark},\r\n pages = {462--466},\r\n numpages = {5},\r\n url_Link = {http://doi.acm.org/10.1145/3298689.3347041},\r\n url_Paper = {2019_RecSys_Neural.pdf},\r\n doi = {10.1145/3298689.3347041},\r\n acmid = {3347041},\r\n publisher = {ACM},\r\n location = {New York, NY, USA},\r\n keywords = {evaluation, reproducibility, session-based recommendation},\r\n abstract = {The benefits of neural approaches are undisputed in many application areas. However, today&#x27;s research practice in applied machine learning---where researchers often use a variety of baselines, datasets, and evaluation procedures---can make it difficult to understand how much progress is actually achieved through novel technical approaches. In this work, we focus on the fast-developing area of session-based recommendation and aim to contribute to a better understanding of what represents the state-of-the-art.To that purpose, we have conducted an extensive set of experiments, using a variety of datasets, in which we benchmarked four neural approaches that were published in the last three years against each other and against a set of simpler baseline techniques, e.g., based on nearest neighbors. The evaluation of the algorithms under the exact same conditions revealed that the benefits of applying today&#x27;s neural approaches to session-based recommendations are still limited. In the majority of the cases, and in particular when precision and recall are used, it turned out that simple techniques in most cases outperform recent neural approaches. Our findings therefore point to certain major limitations of today&#x27;s research practice. By sharing our evaluation framework publicly, we hope that some of these limitations can be overcome in the future.},\r\n} \r\n\r\n\r\n\r\n  </pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  The benefits of neural approaches are undisputed in many application areas. However, today's research practice in applied machine learning—where researchers often use a variety of baselines, datasets, and evaluation procedures—can make it difficult to understand how much progress is actually achieved through novel technical approaches. In this work, we focus on the fast-developing area of session-based recommendation and aim to contribute to a better understanding of what represents the state-of-the-art.To that purpose, we have conducted an extensive set of experiments, using a variety of datasets, in which we benchmarked four neural approaches that were published in the last three years against each other and against a set of simpler baseline techniques, e.g., based on nearest neighbors. The evaluation of the algorithms under the exact same conditions revealed that the benefits of applying today's neural approaches to session-based recommendations are still limited. In the majority of the cases, and in particular when precision and recall are used, it turned out that simple techniques in most cases outperform recent neural approaches. Our findings therefore point to certain major limitations of today's research practice. By sharing our evaluation framework publicly, we hope that some of these limitations can be overcome in the future.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"mauro-ardissono-hu-multifacetedtrustbasedcollaborativefiltering-2019\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2019_UMAP_Trust.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'mauro-ardissono-hu-multifacetedtrustbasedcollaborativefiltering-2019', 'http://www.di.unito.it/~mauro/publications/2019_UMAP_Trust.pdf', event);\">\n    Multi-Faceted Trust-Based Collaborative Filtering.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>; Ardissono, L.;  and Hu, Z. F.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization</i>, of <i>UMAP ’19</i>, pages 216–224, Larnaca, Cyprus,  2019. Association for Computing Machinery\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1145/3320435.3320441\"\n     onclick=\"log_download('mauro-ardissono-hu-multifacetedtrustbasedcollaborativefiltering-2019', 'https://doi.org/10.1145/3320435.3320441', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Multi-Faceted Trust-Based Collaborative Filtering [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2019_UMAP_Trust.pdf\"\n     onclick=\"log_download('mauro-ardissono-hu-multifacetedtrustbasedcollaborativefiltering-2019', 'http://www.di.unito.it/~mauro/publications/2019_UMAP_Trust.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Multi-Faceted Trust-Based Collaborative Filtering [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1145/3320435.3320441\"\n     onclick=\"log_download('mauro-ardissono-hu-multifacetedtrustbasedcollaborativefiltering-2019', 'http://doi.org/10.1145/3320435.3320441', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mauro-ardissono-hu-multifacetedtrustbasedcollaborativefiltering-2019\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mauro-ardissono-hu-multifacetedtrustbasedcollaborativefiltering-2019')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{Mauro:2019b,\r\n author = {Noemi Mauro and Ardissono, Liliana and Hu, Zhongli Filippo},\r\n title = {Multi-Faceted Trust-Based Collaborative Filtering},\r\n year = {2019},\r\n isbn = {9781450360210},\r\n publisher = {Association for Computing Machinery},\r\n location = {New York, NY, USA},\r\n url_Link = {https://doi.org/10.1145/3320435.3320441},\r\n url_Paper = {2019_UMAP_Trust.pdf},\r\n doi = {10.1145/3320435.3320441},\r\n booktitle = {Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization},\r\n pages = {216–224},\r\n numpages = {9},\r\n keywords = {thematic maps, information search, personalization., session-based concept suggestion},\r\n address = {Larnaca, Cyprus},\r\n series = {UMAP ’19},\r\n abstract = {Many collaborative recommender systems leverage social correlation theories to improve suggestion performance. However, they focus on explicit relations between users and they leave out other types of information that can contribute to determine users&#x27; global reputation; e.g., public recognition of reviewers&#x27; quality.We are interested in understanding if and when these additional types of feedback improve Top-N recommendation. For this purpose, we propose a multi-faceted trust model to integrate local trust, represented by social links, with various types of global trust evidence provided by social networks. We aim at identifying general classes of data in order to make our model applicable to different case studies. Then, we test the model by applying it to a variant of User-to-User Collaborative filtering (U2UCF) which supports the fusion of rating similarity, local trust derived from social relations, and multi-faceted reputation for rating prediction.We test our model on two datasets: the Yelp one publishes generic friend relations between users but provides different types of trust feedback, including user profile endorsements. The LibraryThing dataset offers fewer types of feedback but it provides more selective friend relations aimed at content sharing. The results of our experiments show that, on the Yelp dataset, our model outperforms both U2UCF and state-of-the-art trust-based recommenders that only use rating similarity and social relations. Differently, in the LibraryThing dataset, the combination of social relations and rating similarity achieves the best results. The lesson we learn is that multi-faceted trust can be a valuable type of information for recommendation. However, before using it in an application domain, an analysis of the type and amount of available trust evidence has to be done to assess its real impact on recommendation performance.},\r\n}\r\n\r\n\r\n  </pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Many collaborative recommender systems leverage social correlation theories to improve suggestion performance. However, they focus on explicit relations between users and they leave out other types of information that can contribute to determine users' global reputation; e.g., public recognition of reviewers' quality.We are interested in understanding if and when these additional types of feedback improve Top-N recommendation. For this purpose, we propose a multi-faceted trust model to integrate local trust, represented by social links, with various types of global trust evidence provided by social networks. We aim at identifying general classes of data in order to make our model applicable to different case studies. Then, we test the model by applying it to a variant of User-to-User Collaborative filtering (U2UCF) which supports the fusion of rating similarity, local trust derived from social relations, and multi-faceted reputation for rating prediction.We test our model on two datasets: the Yelp one publishes generic friend relations between users but provides different types of trust feedback, including user profile endorsements. The LibraryThing dataset offers fewer types of feedback but it provides more selective friend relations aimed at content sharing. The results of our experiments show that, on the Yelp dataset, our model outperforms both U2UCF and state-of-the-art trust-based recommenders that only use rating similarity and social relations. Differently, in the LibraryThing dataset, the combination of social relations and rating similarity achieves the best results. The lesson we learn is that multi-faceted trust can be a valuable type of information for recommendation. However, before using it in an application domain, an analysis of the type and amount of available trust evidence has to be done to assess its real impact on recommendation performance.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"mauro-ardissono-extendingatagbasedcollaborativerecommenderwithcooccurringinformationinterests-2019\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2019_UMAP_Cat.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'mauro-ardissono-extendingatagbasedcollaborativerecommenderwithcooccurringinformationinterests-2019', 'http://www.di.unito.it/~mauro/publications/2019_UMAP_Cat.pdf', event);\">\n    Extending a Tag-Based Collaborative Recommender with Co-Occurring Information Interests.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>;  and Ardissono, L.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization</i>, of <i>UMAP ’19</i>, pages 181–190, Larnaca, Cyprus,  2019. Association for Computing Machinery\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1145/3320435.3320458\"\n     onclick=\"log_download('mauro-ardissono-extendingatagbasedcollaborativerecommenderwithcooccurringinformationinterests-2019', 'https://doi.org/10.1145/3320435.3320458', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Extending a Tag-Based Collaborative Recommender with Co-Occurring Information Interests [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2019_UMAP_Cat.pdf\"\n     onclick=\"log_download('mauro-ardissono-extendingatagbasedcollaborativerecommenderwithcooccurringinformationinterests-2019', 'http://www.di.unito.it/~mauro/publications/2019_UMAP_Cat.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Extending a Tag-Based Collaborative Recommender with Co-Occurring Information Interests [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1145/3320435.3320458\"\n     onclick=\"log_download('mauro-ardissono-extendingatagbasedcollaborativerecommenderwithcooccurringinformationinterests-2019', 'http://doi.org/10.1145/3320435.3320458', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mauro-ardissono-extendingatagbasedcollaborativerecommenderwithcooccurringinformationinterests-2019\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mauro-ardissono-extendingatagbasedcollaborativerecommenderwithcooccurringinformationinterests-2019')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{Mauro:2019a,\r\n author = {Noemi Mauro and Ardissono, Liliana},\r\n title = {Extending a Tag-Based Collaborative Recommender with Co-Occurring Information Interests},\r\n year = {2019},\r\n isbn = {9781450360210},\r\n publisher = {Association for Computing Machinery},\r\n location = {New York, NY, USA},\r\n url_Link = {https://doi.org/10.1145/3320435.3320458},\r\n url_Paper = {2019_UMAP_Cat.pdf},\r\n doi = {10.1145/3320435.3320458},\r\n booktitle = {Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization},\r\n pages = {181–190},\r\n numpages = {10},\r\n keywords = {collaborative filtering, category-based user profiles, tag-based recommender systems, preference co-occurrence in information search.},\r\n address = {Larnaca, Cyprus},\r\n series = {UMAP ’19},\r\n abstract = {Collaborative Filtering is largely applied to personalize item recommendation but its performance is affected by the sparsity of rating data. In order to address this issue, recent systems have been developed to improve recommendation by extracting latent factors from the rating matrices, or by exploiting trust relations established among users in social networks. In this work, we are interested in evaluating whether other sources of preference information than ratings and social ties can be used to improve recommendation performance. Specifically, we aim at testing whether the integration of frequently co-occurring interests in information search logs can improve recommendation performance in User-to-User Collaborative Filtering (U2UCF). For this purpose, we propose the Extended Category-based Collaborative Filtering (ECCF) recommender, which enriches category-based user profiles derived from the analysis of rating behavior with data categories that are frequently searched together by people in search sessions. We test our model using a big rating dataset and a log of a largely used search engine to extract the co-occurrence of interests. The experiments show that ECCF outperforms U2UCF and category-based collaborative recommendation in accuracy, MRR, diversity of recommendations and user coverage. Moreover, it outperforms the SVD++ Matrix Factorization algorithm in accuracy and diversity of recommendation lists.},\r\n}\r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Collaborative Filtering is largely applied to personalize item recommendation but its performance is affected by the sparsity of rating data. In order to address this issue, recent systems have been developed to improve recommendation by extracting latent factors from the rating matrices, or by exploiting trust relations established among users in social networks. In this work, we are interested in evaluating whether other sources of preference information than ratings and social ties can be used to improve recommendation performance. Specifically, we aim at testing whether the integration of frequently co-occurring interests in information search logs can improve recommendation performance in User-to-User Collaborative Filtering (U2UCF). For this purpose, we propose the Extended Category-based Collaborative Filtering (ECCF) recommender, which enriches category-based user profiles derived from the analysis of rating behavior with data categories that are frequently searched together by people in search sessions. We test our model using a big rating dataset and a log of a largely used search engine to extract the co-occurrence of interests. The experiments show that ECCF outperforms U2UCF and category-based collaborative recommendation in accuracy, MRR, diversity of recommendations and user coverage. Moreover, it outperforms the SVD++ Matrix Factorization algorithm in accuracy and diversity of recommendation lists.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"mauro-supportingtheexplorationofculturalheritageinformationviasearchbehavioranalysis-2019\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2019_PATCH_Topics.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'mauro-supportingtheexplorationofculturalheritageinformationviasearchbehavioranalysis-2019', 'http://www.di.unito.it/~mauro/publications/2019_PATCH_Topics.pdf', event);\">\n    Supporting the Exploration of Cultural Heritage Information via Search Behavior Analysis.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>\n</span>\n\n  \n\n</span>\n\n  In <i>Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization</i>, of <i>UMAP’19 Adjunct</i>, pages 371–376, Larnaca, Cyprus,  2019. Association for Computing Machinery\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1145/3314183.3323862\"\n     onclick=\"log_download('mauro-supportingtheexplorationofculturalheritageinformationviasearchbehavioranalysis-2019', 'https://doi.org/10.1145/3314183.3323862', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Supporting the Exploration of Cultural Heritage Information via Search Behavior Analysis [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2019_PATCH_Topics.pdf\"\n     onclick=\"log_download('mauro-supportingtheexplorationofculturalheritageinformationviasearchbehavioranalysis-2019', 'http://www.di.unito.it/~mauro/publications/2019_PATCH_Topics.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Supporting the Exploration of Cultural Heritage Information via Search Behavior Analysis [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1145/3314183.3323862\"\n     onclick=\"log_download('mauro-supportingtheexplorationofculturalheritageinformationviasearchbehavioranalysis-2019', 'http://doi.org/10.1145/3314183.3323862', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mauro-supportingtheexplorationofculturalheritageinformationviasearchbehavioranalysis-2019\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mauro-supportingtheexplorationofculturalheritageinformationviasearchbehavioranalysis-2019')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{Mauro:2019c,\r\n author = {Noemi Mauro},\r\n title = {Supporting the Exploration of Cultural Heritage Information via Search Behavior Analysis},\r\n year = {2019},\r\n isbn = {9781450367110},\r\n publisher = {Association for Computing Machinery},\r\n location = {New York, NY, USA},\r\n url_Link = {https://doi.org/10.1145/3314183.3323862},\r\n url_Paper = {2019_PATCH_Topics.pdf},\r\n doi = {10.1145/3314183.3323862},\r\n booktitle = {Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization},\r\n pages = {371–376},\r\n numpages = {6},\r\n keywords = {session-based concept suggestion, personalization, thematic maps, information search},\r\n address = {Larnaca, Cyprus},\r\n series = {UMAP’19 Adjunct},\r\n abstract = {Thematic maps, traditionally developed to present specific themes within defined geographical areas, are an interesting information presentation model for Cultural Heritage exploration because of the abstract view on the territory they provide. However, in order to cope with possibly heterogeneous user interests, they should be adapted to the individual user by including the relevant types of information, given her/his specific interests. In a previous paper, we proposed an approach to the integration of thematic maps in the OnToMap Participatory GIS (Geographic Information System), in order to support query expansion during an exploratory search task. The proposed maps were built on the basis of a survey in which we asked people to rate the relevance of a set of concepts to five main themes around which we developed the maps. In this paper we go one step forward and we propose a more general approach to information search support in order to automatically create thematic maps, based on the analysis of frequently co-occurring search interests in a search engine query log. This type of analysis supports the identification of clusters of concepts that people frequently search within the same sessions and helps the identification of co-occurring topics that can be proposed to users when exploring an information space. In this way, when the user browses a catalog of Cultural Heritage information, (s)he can both visualize the thematic maps relevant to the search context, and be guided in the navigation within types of information, looking for possibly complementary types of data to satisfy her/his needs.},\r\n}\r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Thematic maps, traditionally developed to present specific themes within defined geographical areas, are an interesting information presentation model for Cultural Heritage exploration because of the abstract view on the territory they provide. However, in order to cope with possibly heterogeneous user interests, they should be adapted to the individual user by including the relevant types of information, given her/his specific interests. In a previous paper, we proposed an approach to the integration of thematic maps in the OnToMap Participatory GIS (Geographic Information System), in order to support query expansion during an exploratory search task. The proposed maps were built on the basis of a survey in which we asked people to rate the relevance of a set of concepts to five main themes around which we developed the maps. In this paper we go one step forward and we propose a more general approach to information search support in order to automatically create thematic maps, based on the analysis of frequently co-occurring search interests in a search engine query log. This type of analysis supports the identification of clusters of concepts that people frequently search within the same sessions and helps the identification of co-occurring topics that can be proposed to users when exploring an information space. In this way, when the user browses a catalog of Cultural Heritage information, (s)he can both visualize the thematic maps relevant to the search context, and be guided in the navigation within types of information, looking for possibly complementary types of data to satisfy her/his needs.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"ardissono-gena-kuflik-mauro-umappatch2019chairswelcome-2019\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://doi.org/10.1145/3314183.3323860\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'ardissono-gena-kuflik-mauro-umappatch2019chairswelcome-2019', 'https://doi.org/10.1145/3314183.3323860', event);\">\n    UMAP PATCH 2019 Chairs' Welcome.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Ardissono, L.; Gena, C.; Kuflik, T.;  and <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>\n</span>\n\n  \n\n</span>\n\n  In <i>Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization</i>, of <i>UMAP'19 Adjunct</i>, pages 359–361, New York, NY, USA,  2019. Association for Computing Machinery\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1145/3314183.3323860\"\n     onclick=\"log_download('ardissono-gena-kuflik-mauro-umappatch2019chairswelcome-2019', 'https://doi.org/10.1145/3314183.3323860', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"UMAP PATCH 2019 Chairs&#x27; Welcome [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1145/3314183.3323860\"\n     onclick=\"log_download('ardissono-gena-kuflik-mauro-umappatch2019chairswelcome-2019', 'http://doi.org/10.1145/3314183.3323860', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ardissono-gena-kuflik-mauro-umappatch2019chairswelcome-2019\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ardissono-gena-kuflik-mauro-umappatch2019chairswelcome-2019')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{patch2019,\r\nauthor = {Ardissono, Liliana and Gena, Cristina and Kuflik, Tsvi and Mauro, Noemi},\r\ntitle = {UMAP PATCH 2019 Chairs&#x27; Welcome},\r\nyear = {2019},\r\nisbn = {9781450367110},\r\npublisher = {Association for Computing Machinery},\r\naddress = {New York, NY, USA},\r\nurl_Link = {https://doi.org/10.1145/3314183.3323860},\r\ndoi = {10.1145/3314183.3323860},\r\nbooktitle = {Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization},\r\npages = {359–361},\r\nnumpages = {3},\r\nkeywords = {recommender systems, personalization, cultural heritage, user modeling.},\r\nlocation = {Larnaca, Cyprus},\r\nseries = {UMAP&#x27;19 Adjunct}\r\n}\r\n\r\n</pre>\n</div>\n\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2018\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2018')\"\n      onkeypress=\"toggleGroup('group_2018')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2018</span>\n      <span class=\"bibbase_group_count\">\n        \n        (5)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"mauro-dirocco-ardissono-bertolotto-guerrini-impactofsemanticgranularityongeographicinformationsearchsupport-2018\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2018_WI_Granularity.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'mauro-dirocco-ardissono-bertolotto-guerrini-impactofsemanticgranularityongeographicinformationsearchsupport-2018', 'http://www.di.unito.it/~mauro/publications/2018_WI_Granularity.pdf', event);\">\n    Impact of Semantic Granularity on Geographic Information Search Support.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>; Di Rocco, L.; Ardissono, L.; Bertolotto, M.;  and Guerrini, G.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the International Conference on Web Intelligence</i>, of <i>WI '18</i>, Santiago De Chile, Chile,  2018. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://ieeexplore.ieee.org/document/8609610\"\n     onclick=\"log_download('mauro-dirocco-ardissono-bertolotto-guerrini-impactofsemanticgranularityongeographicinformationsearchsupport-2018', 'https://ieeexplore.ieee.org/document/8609610', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Impact of Semantic Granularity on Geographic Information Search Support [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2018_WI_Granularity.pdf\"\n     onclick=\"log_download('mauro-dirocco-ardissono-bertolotto-guerrini-impactofsemanticgranularityongeographicinformationsearchsupport-2018', 'http://www.di.unito.it/~mauro/publications/2018_WI_Granularity.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Impact of Semantic Granularity on Geographic Information Search Support [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1109/WI.2018.00-73\"\n     onclick=\"log_download('mauro-dirocco-ardissono-bertolotto-guerrini-impactofsemanticgranularityongeographicinformationsearchsupport-2018', 'http://doi.org/10.1109/WI.2018.00-73', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mauro-dirocco-ardissono-bertolotto-guerrini-impactofsemanticgranularityongeographicinformationsearchsupport-2018\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mauro-dirocco-ardissono-bertolotto-guerrini-impactofsemanticgranularityongeographicinformationsearchsupport-2018')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{Mauro:2018b,\r\n author = {Mauro, Noemi and Di Rocco, Laura and Ardissono, Liliana and Bertolotto, Michela and Guerrini, Giovanna},\r\n title = {Impact of Semantic Granularity on Geographic Information Search Support},\r\n booktitle = {Proceedings of the International Conference on Web Intelligence},\r\n series = {WI &#x27;18},\r\n year = {2018},\r\n url_Link = {https://ieeexplore.ieee.org/document/8609610},\r\n url_Paper = {2018_WI_Granularity.pdf},\r\n doi={10.1109/WI.2018.00-73},\r\n address = {Santiago De Chile, Chile},\r\n keywords = {geographical information retrieval, semantic granularity, session-based concept suggestion},\r\n abstract = {The Information Retrieval research has used semantics to provide accurate search results, but the analysis of conceptual abstraction has mainly focused on information integration. We consider session-based query expansion in Geographical Information Retrieval, and investigate the impact of semantic granularity (i.e., specificity of concepts representation) on the suggestion of relevant types of information to search for. We study how different levels of detail in knowledge representation influence the capability of guiding the user in the exploration of a complex information space. A comparative analysis of the performance of a query expansion model, using three spatial ontologies defined at different semantic granularity levels, reveals that a fine-grained representation enhances recall. However, precision depends on how closely the ontologies match the way people conceptualize and verbally describe the geographic space.}\r\n} \r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  The Information Retrieval research has used semantics to provide accurate search results, but the analysis of conceptual abstraction has mainly focused on information integration. We consider session-based query expansion in Geographical Information Retrieval, and investigate the impact of semantic granularity (i.e., specificity of concepts representation) on the suggestion of relevant types of information to search for. We study how different levels of detail in knowledge representation influence the capability of guiding the user in the exploration of a complex information space. A comparative analysis of the performance of a query expansion model, using three spatial ontologies defined at different semantic granularity levels, reveals that a fine-grained representation enhances recall. However, precision depends on how closely the ontologies match the way people conceptualize and verbally describe the geographic space.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"ardissono-delsanto-lucenteforte-mauro-savoca-scanu-mapbasedvisualizationof2d3dspatialdataviastylizationandtuningofinformationemphasis-2018\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2018_AVI_3D_Short.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'ardissono-delsanto-lucenteforte-mauro-savoca-scanu-mapbasedvisualizationof2d3dspatialdataviastylizationandtuningofinformationemphasis-2018', 'http://www.di.unito.it/~mauro/publications/2018_AVI_3D_Short.pdf', event);\">\n    Map-Based Visualization of 2D/3D Spatial Data via Stylization and Tuning of Information Emphasis.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Ardissono, L.; Delsanto, M.; Lucenteforte, M.; <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>; Savoca, A.;  and Scanu, D.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 2018 International Conference on Advanced Visual Interfaces</i>, of <i>AVI '18</i>, pages 38:1–38:5, New York, NY, USA,  2018. Association for Computing Machinery\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1145/3206505.3206516\"\n     onclick=\"log_download('ardissono-delsanto-lucenteforte-mauro-savoca-scanu-mapbasedvisualizationof2d3dspatialdataviastylizationandtuningofinformationemphasis-2018', 'https://doi.org/10.1145/3206505.3206516', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Map-Based Visualization of 2D/3D Spatial Data via Stylization and Tuning of Information Emphasis [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2018_AVI_3D_Short.pdf\"\n     onclick=\"log_download('ardissono-delsanto-lucenteforte-mauro-savoca-scanu-mapbasedvisualizationof2d3dspatialdataviastylizationandtuningofinformationemphasis-2018', 'http://www.di.unito.it/~mauro/publications/2018_AVI_3D_Short.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Map-Based Visualization of 2D/3D Spatial Data via Stylization and Tuning of Information Emphasis [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1145/3206505.3206516\"\n     onclick=\"log_download('ardissono-delsanto-lucenteforte-mauro-savoca-scanu-mapbasedvisualizationof2d3dspatialdataviastylizationandtuningofinformationemphasis-2018', 'http://doi.org/10.1145/3206505.3206516', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ardissono-delsanto-lucenteforte-mauro-savoca-scanu-mapbasedvisualizationof2d3dspatialdataviastylizationandtuningofinformationemphasis-2018\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ardissono-delsanto-lucenteforte-mauro-savoca-scanu-mapbasedvisualizationof2d3dspatialdataviastylizationandtuningofinformationemphasis-2018')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{Ardissono-etal:18,\r\nauthor = {Ardissono, Liliana and Delsanto, Matteo and Lucenteforte, Maurizio and Mauro, Noemi and Savoca, Adriano and Scanu, Daniele},\r\ntitle = {Map-Based Visualization of 2D/3D Spatial Data via Stylization and Tuning of Information Emphasis},\r\nyear = {2018},\r\nisbn = {9781450356169},\r\npublisher = {Association for Computing Machinery},\r\naddress = {New York, NY, USA},\r\n pages = {38:1--38:5},\r\nurl_Link = {https://doi.org/10.1145/3206505.3206516},\r\nurl_Paper = {2018_AVI_3D_Short.pdf},\r\ndoi = {10.1145/3206505.3206516},\r\nabstract = {In Geographical Information search, map visualization can challenge the user because results can consist of a large set of heterogeneous items, increasing visual complexity. We propose a novel visualization model to address this issue. Our model represents results as markers, or as geometric objects, on 2D/3D layers, using stylized and highly colored shapes to enhance their visibility. Moreover, the model supports interactive information filtering in the map by enabling the user to focus on different data categories, using transparency sliders to tune the opacity, and thus the emphasis, of the corresponding data items. A test with users provided positive results concerning the efficacy of the model.},\r\nbooktitle = {Proceedings of the 2018 International Conference on Advanced Visual Interfaces},\r\narticleno = {38},\r\nnumpages = {5},\r\nkeywords = {visual information filtering, search results visualization, opacity tuning, 2D/3D geographical maps},\r\nlocation = {Castiglione della Pescaia, Grosseto, Italy},\r\nseries = {AVI &#x27;18}\r\n}\r\n\r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  In Geographical Information search, map visualization can challenge the user because results can consist of a large set of heterogeneous items, increasing visual complexity. We propose a novel visualization model to address this issue. Our model represents results as markers, or as geometric objects, on 2D/3D layers, using stylized and highly colored shapes to enhance their visibility. Moreover, the model supports interactive information filtering in the map by enabling the user to focus on different data categories, using transparency sliders to tune the opacity, and thus the emphasis, of the corresponding data items. A test with users provided positive results concerning the efficacy of the model.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"ardissono-delsanto-lucenteforte-mauro-savoca-scanu-transparencybasedinformationfilteringon2d3dgeographicalmaps-2018\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2018_AVI_3D_Demo.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'ardissono-delsanto-lucenteforte-mauro-savoca-scanu-transparencybasedinformationfilteringon2d3dgeographicalmaps-2018', 'http://www.di.unito.it/~mauro/publications/2018_AVI_3D_Demo.pdf', event);\">\n    Transparency-Based Information Filtering on 2D/3D Geographical Maps.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Ardissono, L.; Delsanto, M.; Lucenteforte, M.; <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>; Savoca, A.;  and Scanu, D.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 2018 International Conference on Advanced Visual Interfaces</i>, of <i>AVI '18</i>, pages 56:1–56:3, New York, NY, USA,  2018. Association for Computing Machinery\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1145/3206505.3206566\"\n     onclick=\"log_download('ardissono-delsanto-lucenteforte-mauro-savoca-scanu-transparencybasedinformationfilteringon2d3dgeographicalmaps-2018', 'https://doi.org/10.1145/3206505.3206566', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Transparency-Based Information Filtering on 2D/3D Geographical Maps [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2018_AVI_3D_Demo.pdf\"\n     onclick=\"log_download('ardissono-delsanto-lucenteforte-mauro-savoca-scanu-transparencybasedinformationfilteringon2d3dgeographicalmaps-2018', 'http://www.di.unito.it/~mauro/publications/2018_AVI_3D_Demo.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Transparency-Based Information Filtering on 2D/3D Geographical Maps [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1145/3206505.3206566\"\n     onclick=\"log_download('ardissono-delsanto-lucenteforte-mauro-savoca-scanu-transparencybasedinformationfilteringon2d3dgeographicalmaps-2018', 'http://doi.org/10.1145/3206505.3206566', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ardissono-delsanto-lucenteforte-mauro-savoca-scanu-transparencybasedinformationfilteringon2d3dgeographicalmaps-2018\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ardissono-delsanto-lucenteforte-mauro-savoca-scanu-transparencybasedinformationfilteringon2d3dgeographicalmaps-2018')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{Ardissono-etal:18b,\r\nauthor = {Ardissono, Liliana and Delsanto, Matteo and Lucenteforte, Maurizio and Mauro, Noemi and Savoca, Adriano and Scanu, Daniele},\r\ntitle = {Transparency-Based Information Filtering on 2D/3D Geographical Maps},\r\nyear = {2018},\r\nisbn = {9781450356169},\r\npublisher = {Association for Computing Machinery},\r\naddress = {New York, NY, USA},\r\nurl_Link = {https://doi.org/10.1145/3206505.3206566},\r\nurl_Paper = {2018_AVI_3D_Demo.pdf},\r\ndoi = {10.1145/3206505.3206566},\r\n pages = {56:1--56:3},\r\nabstract = {The presentation of search results in GIS can expose the user to cluttered geographical maps, challenging the identification of relevant information. In order to address this issue, we propose a visualization model supporting interactive information filtering on 2D/3D maps. Our model is based on the introduction of transparency sliders that enable the user to tune the opacity, and thus the emphasis, of data categories in the map. In this way, he or she can focus the maps on the most relevant types of information for the task to be performed. A test with users provided positive results concerning the efficacy of our model.},\r\nbooktitle = {Proceedings of the 2018 International Conference on Advanced Visual Interfaces},\r\narticleno = {56},\r\nnumpages = {3},\r\nkeywords = {visual information filtering, search results visualization, opacity tuning, 2D/3D geographical maps},\r\nlocation = {Castiglione della Pescaia, Grosseto, Italy},\r\nseries = {AVI &#x27;18}\r\n}\r\n\r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  The presentation of search results in GIS can expose the user to cluttered geographical maps, challenging the identification of relevant information. In order to address this issue, we propose a visualization model supporting interactive information filtering on 2D/3D maps. Our model is based on the introduction of transparency sliders that enable the user to tune the opacity, and thus the emphasis, of data categories in the map. In this way, he or she can focus the maps on the most relevant types of information for the task to be performed. A test with users provided positive results concerning the efficacy of our model.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"mauro-ardissono-sessionbasedsuggestionoftopicsforgeographicexploratorysearch-2018\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2018_IUI_Topics.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'mauro-ardissono-sessionbasedsuggestionoftopicsforgeographicexploratorysearch-2018', 'http://www.di.unito.it/~mauro/publications/2018_IUI_Topics.pdf', event);\">\n    Session-Based Suggestion of Topics for Geographic Exploratory Search.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>;  and Ardissono, L.\n</span>\n\n  \n\n</span>\n\n  In <i>23rd International Conference on Intelligent User Interfaces</i>, of <i>IUI '18</i>, pages 341–352, New York, NY, USA,  2018. Association for Computing Machinery\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1145/3172944.3172957\"\n     onclick=\"log_download('mauro-ardissono-sessionbasedsuggestionoftopicsforgeographicexploratorysearch-2018', 'https://doi.org/10.1145/3172944.3172957', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Session-Based Suggestion of Topics for Geographic Exploratory Search [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2018_IUI_Topics.pdf\"\n     onclick=\"log_download('mauro-ardissono-sessionbasedsuggestionoftopicsforgeographicexploratorysearch-2018', 'http://www.di.unito.it/~mauro/publications/2018_IUI_Topics.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Session-Based Suggestion of Topics for Geographic Exploratory Search [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1145/3172944.3172957\"\n     onclick=\"log_download('mauro-ardissono-sessionbasedsuggestionoftopicsforgeographicexploratorysearch-2018', 'http://doi.org/10.1145/3172944.3172957', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mauro-ardissono-sessionbasedsuggestionoftopicsforgeographicexploratorysearch-2018\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mauro-ardissono-sessionbasedsuggestionoftopicsforgeographicexploratorysearch-2018')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{Mauro:2018,\r\nauthor = {Mauro, Noemi and Ardissono, Liliana},\r\ntitle = {Session-Based Suggestion of Topics for Geographic Exploratory Search},\r\nyear = {2018},\r\nisbn = {9781450349451},\r\npublisher = {Association for Computing Machinery},\r\naddress = {New York, NY, USA},\r\nurl_Link = {https://doi.org/10.1145/3172944.3172957},\r\nurl_Paper= {2018_IUI_Topics.pdf},\r\ndoi = {10.1145/3172944.3172957},\r\nabstract = {Exploratory information search can challenge users in the formulation of efficacious search queries. Moreover, complex information spaces, such as those managed by Geographical Information Systems, can disorient people, making it difficult to find relevant data. In order to address these issues, we developed a session-based suggestion model that proposes concepts as a em &quot;you might also be interested in»» function, by taking the user»s previous queries into account. Our model can be applied to incrementally generate suggestions in interactive search. It can be used for query expansion, and in general to guide users in the exploration of possibly complex spaces of data categories. Our model is based on a concept co-occurrence graph that describes how frequently concepts are searched together in search sessions. Starting from an ontological domain representation, we generated the graph by analyzing the query log of a major search engine. Moreover, we identified clusters of ontology concepts which frequently co-occur in the sessions of the log via community detection on the graph. The evaluation of our model provided satisfactory accuracy results.},\r\nbooktitle = {23rd International Conference on Intelligent User Interfaces},\r\npages = {341–352},\r\nnumpages = {12},\r\nkeywords = {query expansion, geographical information retrieval, session-based concept suggestion},\r\nlocation = {Tokyo, Japan},\r\nseries = {IUI &#x27;18}\r\n}\r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Exploratory information search can challenge users in the formulation of efficacious search queries. Moreover, complex information spaces, such as those managed by Geographical Information Systems, can disorient people, making it difficult to find relevant data. In order to address these issues, we developed a session-based suggestion model that proposes concepts as a em \"you might also be interested in»» function, by taking the user»s previous queries into account. Our model can be applied to incrementally generate suggestions in interactive search. It can be used for query expansion, and in general to guide users in the exploration of possibly complex spaces of data categories. Our model is based on a concept co-occurrence graph that describes how frequently concepts are searched together in search sessions. Starting from an ontological domain representation, we generated the graph by analyzing the query log of a major search engine. Moreover, we identified clusters of ontology concepts which frequently co-occur in the sessions of the log via community detection on the graph. The evaluation of our model provided satisfactory accuracy results.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"mauro-suggestionmodelsingeographicexploratorysearch-2018\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2018_IUI_DC.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'mauro-suggestionmodelsingeographicexploratorysearch-2018', 'http://www.di.unito.it/~mauro/publications/2018_IUI_DC.pdf', event);\">\n    Suggestion Models in Geographic Exploratory Search.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>\n</span>\n\n  \n\n</span>\n\n  In <i>23rd International Conference on Intelligent User Interfaces</i>, of <i>IUI '18</i>, pages 669–670, New York, NY, USA,  2018. Association for Computing Machinery\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1145/3172944.3173148\"\n     onclick=\"log_download('mauro-suggestionmodelsingeographicexploratorysearch-2018', 'https://doi.org/10.1145/3172944.3173148', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Suggestion Models in Geographic Exploratory Search [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2018_IUI_DC.pdf\"\n     onclick=\"log_download('mauro-suggestionmodelsingeographicexploratorysearch-2018', 'http://www.di.unito.it/~mauro/publications/2018_IUI_DC.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Suggestion Models in Geographic Exploratory Search [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1145/3172944.3173148\"\n     onclick=\"log_download('mauro-suggestionmodelsingeographicexploratorysearch-2018', 'http://doi.org/10.1145/3172944.3173148', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mauro-suggestionmodelsingeographicexploratorysearch-2018\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mauro-suggestionmodelsingeographicexploratorysearch-2018')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{Mauro:2018a,\r\nauthor = {Mauro, Noemi},\r\ntitle = {Suggestion Models in Geographic Exploratory Search},\r\nyear = {2018},\r\nisbn = {9781450349451},\r\npublisher = {Association for Computing Machinery},\r\naddress = {New York, NY, USA},\r\nurl_Link = {https://doi.org/10.1145/3172944.3173148},\r\nurl_Paper = {2018_IUI_DC.pdf},\r\ndoi = {10.1145/3172944.3173148},\r\nabstract = {My PhD project focuses on the suggestion of information categories in exploratory search in a geographical domain. Geographical maps may challenge the user in the exploration of possibly complex information spaces, making difficult to find all the relevant data for the completion of her/his search task. I propose different models for concepts suggestion which, given a search query, allow the creation of clusters of categories useful for query expansion as a &quot;you might be interested in&quot; function. The training of these models is done by exploiting different types of information: search sessions, users» preferences and social data coming from Twitter.},\r\nbooktitle = {23rd International Conference on Intelligent User Interfaces},\r\npages = {669–670},\r\nnumpages = {2},\r\nkeywords = {geographical information retrieval and search, query expansion, session-based concept suggestion},\r\nlocation = {Tokyo, Japan},\r\nseries = {IUI &#x27;18}\r\n}\r\n\r\n\r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  My PhD project focuses on the suggestion of information categories in exploratory search in a geographical domain. Geographical maps may challenge the user in the exploration of possibly complex information spaces, making difficult to find all the relevant data for the completion of her/his search task. I propose different models for concepts suggestion which, given a search query, allow the creation of clusters of categories useful for query expansion as a \"you might be interested in\" function. The training of these models is done by exploiting different types of information: search sessions, users» preferences and social data coming from Twitter.\n</div>\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2017\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2017')\"\n      onkeypress=\"toggleGroup('group_2017')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2017</span>\n      <span class=\"bibbase_group_count\">\n        \n        (8)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"ardissono-lucenteforte-mauro-savoca-voghera-personalisedcommunitymaps-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://doi.org/10.1504/IJEG.2017.084648\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'ardissono-lucenteforte-mauro-savoca-voghera-personalisedcommunitymaps-2017', 'https://doi.org/10.1504/IJEG.2017.084648', event);\">\n    Personalised Community Maps.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Ardissono, L.; Lucenteforte, M.; <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>; Savoca, A.;  and Voghera, A.\n</span>\n\n  \n\n</span>\n\n  <i>International Journal of Electronic Governance</i>, 9(1-2): 156-178.  2017.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1504/IJEG.2017.084648\"\n     onclick=\"log_download('ardissono-lucenteforte-mauro-savoca-voghera-personalisedcommunitymaps-2017', 'https://doi.org/10.1504/IJEG.2017.084648', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Personalised Community Maps [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1504/IJEG.2017.084648\"\n     onclick=\"log_download('ardissono-lucenteforte-mauro-savoca-voghera-personalisedcommunitymaps-2017', 'http://doi.org/10.1504/IJEG.2017.084648', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ardissono-lucenteforte-mauro-savoca-voghera-personalisedcommunitymaps-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ardissono-lucenteforte-mauro-savoca-voghera-personalisedcommunitymaps-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{Ardissono-etal:17e,\r\n   author = {Liliana Ardissono and Maurizio Lucenteforte and Noemi Mauro and Adriano Savoca and Angioletta Voghera},\r\n   title = {Personalised Community Maps},\r\n   journal = {International Journal of Electronic Governance},\r\n   publisher = {Inderscience},\r\n   volume = {9},\r\n   number = {1-2},\r\n   pages = {156-178},\r\n   year = {2017},\r\n    doi = {10.1504/IJEG.2017.084648},\r\n    url_Link = {https://doi.org/10.1504/IJEG.2017.084648},\r\n    abstract = {Abstract: With the convergence of geographical information systems (GIS) and internet technology, the public administration is starting to use online maps as a web-based bidirectional communication channel with the population: maps are used: i) in public portals, for publishing and crowdsourcing information about the territory; ii) in policy-making, for defining a community vision of the territory and for involving people in public choices. Both cases raise challenges related to the large amount of data handled in the maps, and to their lack of group collaboration support. We attempted to address these issues by developing an information-sharing model, and a testbed software application, that support group management and the generation of persistent, custom community maps focused on the user&#x27;s interests. Our model builds on tag-based user profiles and on information filtering. This paper describes our model and the results of an evaluation of the GroupMapping application, based on it.}\r\n}\r\n\r\n\r\n\r\n </pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Abstract: With the convergence of geographical information systems (GIS) and internet technology, the public administration is starting to use online maps as a web-based bidirectional communication channel with the population: maps are used: i) in public portals, for publishing and crowdsourcing information about the territory; ii) in policy-making, for defining a community vision of the territory and for involving people in public choices. Both cases raise challenges related to the large amount of data handled in the maps, and to their lack of group collaboration support. We attempted to address these issues by developing an information-sharing model, and a testbed software application, that support group management and the generation of persistent, custom community maps focused on the user's interests. Our model builds on tag-based user profiles and on information filtering. This paper describes our model and the results of an evaluation of the GroupMapping application, based on it.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"mauro-ardissono-savoca-conceptawaregeographicinformationretrieval-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2017_WI_Search.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'mauro-ardissono-savoca-conceptawaregeographicinformationretrieval-2017', 'http://www.di.unito.it/~mauro/publications/2017_WI_Search.pdf', event);\">\n    Concept-Aware Geographic Information Retrieval.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>; Ardissono, L.;  and Savoca, A.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the International Conference on Web Intelligence</i>, of <i>WI '17</i>, pages 34–41, New York, NY, USA,  2017. Association for Computing Machinery\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1145/3106426.3106498\"\n     onclick=\"log_download('mauro-ardissono-savoca-conceptawaregeographicinformationretrieval-2017', 'https://doi.org/10.1145/3106426.3106498', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Concept-Aware Geographic Information Retrieval [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2017_WI_Search.pdf\"\n     onclick=\"log_download('mauro-ardissono-savoca-conceptawaregeographicinformationretrieval-2017', 'http://www.di.unito.it/~mauro/publications/2017_WI_Search.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Concept-Aware Geographic Information Retrieval [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1145/3106426.3106498\"\n     onclick=\"log_download('mauro-ardissono-savoca-conceptawaregeographicinformationretrieval-2017', 'http://doi.org/10.1145/3106426.3106498', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mauro-ardissono-savoca-conceptawaregeographicinformationretrieval-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mauro-ardissono-savoca-conceptawaregeographicinformationretrieval-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{Mauro:2017b,\r\nauthor = {Mauro, Noemi and Ardissono, Liliana and Savoca, Adriano},\r\ntitle = {Concept-Aware Geographic Information Retrieval},\r\nyear = {2017},\r\nisbn = {9781450349512},\r\npublisher = {Association for Computing Machinery},\r\naddress = {New York, NY, USA},\r\nurl_Link = {https://doi.org/10.1145/3106426.3106498},\r\nurl_Paper = {2017_WI_Search.pdf},\r\ndoi = {10.1145/3106426.3106498},\r\nabstract = {Textual queries are largely employed in information retrieval to let users specify search goals in a natural way. However, differences in user and system terminologies can challenge the identification of the user&#x27;s information needs, and thus the generation of relevant results. We argue that the explicit management of ontological knowledge, and of the meaning of concepts (by integrating linguistic and encyclopaedic knowledge in the system ontology), can improve the analysis of search queries, because it enables a flexible identification of the topics the user is searching for, regardless of the adopted vocabulary. This paper proposes an information retrieval support model based on semantic concept identification. Starting from the recognition of the ontology concepts that the search query refers to, this model exploits the qualifiers specified in the query to select information items on the basis of possibly fine-grained features. Moreover, it supports query expansion and reformulation by suggesting the exploration of semantically similar concepts, as well as of concepts related to those referred in the query through thematic relations. A test on a data-set collected using the OnToMap Participatory GIS has shown that this approach provides accurate results.},\r\nbooktitle = {Proceedings of the International Conference on Web Intelligence},\r\npages = {34–41},\r\nnumpages = {8},\r\nkeywords = {ontologies, information search, participatory GIS, linked data},\r\nlocation = {Leipzig, Germany},\r\nseries = {WI &#x27;17}\r\n}\r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Textual queries are largely employed in information retrieval to let users specify search goals in a natural way. However, differences in user and system terminologies can challenge the identification of the user's information needs, and thus the generation of relevant results. We argue that the explicit management of ontological knowledge, and of the meaning of concepts (by integrating linguistic and encyclopaedic knowledge in the system ontology), can improve the analysis of search queries, because it enables a flexible identification of the topics the user is searching for, regardless of the adopted vocabulary. This paper proposes an information retrieval support model based on semantic concept identification. Starting from the recognition of the ontology concepts that the search query refers to, this model exploits the qualifiers specified in the query to select information items on the basis of possibly fine-grained features. Moreover, it supports query expansion and reformulation by suggesting the exploration of semantically similar concepts, as well as of concepts related to those referred in the query through thematic relations. A test on a data-set collected using the OnToMap Participatory GIS has shown that this approach provides accurate results.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"ardissono-lucenteforte-mauro-savoca-voghera-lariccia-ontomapsemanticcommunitymapsforknowledgesharing-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2017_HT_Demo_Ontomap.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'ardissono-lucenteforte-mauro-savoca-voghera-lariccia-ontomapsemanticcommunitymapsforknowledgesharing-2017', 'http://www.di.unito.it/~mauro/publications/2017_HT_Demo_Ontomap.pdf', event);\">\n    OnToMap: Semantic Community Maps for Knowledge Sharing.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Ardissono, L.; Lucenteforte, M.; <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>; Savoca, A.; Voghera, A.;  and La Riccia, L.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 28th ACM Conference on Hypertext and Social Media</i>, of <i>HT '17</i>, pages 317–318, New York, NY, USA,  2017. Association for Computing Machinery\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1145/3078714.3078747\"\n     onclick=\"log_download('ardissono-lucenteforte-mauro-savoca-voghera-lariccia-ontomapsemanticcommunitymapsforknowledgesharing-2017', 'https://doi.org/10.1145/3078714.3078747', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"OnToMap: Semantic Community Maps for Knowledge Sharing [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2017_HT_Demo_Ontomap.pdf\"\n     onclick=\"log_download('ardissono-lucenteforte-mauro-savoca-voghera-lariccia-ontomapsemanticcommunitymapsforknowledgesharing-2017', 'http://www.di.unito.it/~mauro/publications/2017_HT_Demo_Ontomap.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"OnToMap: Semantic Community Maps for Knowledge Sharing [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1145/3078714.3078747\"\n     onclick=\"log_download('ardissono-lucenteforte-mauro-savoca-voghera-lariccia-ontomapsemanticcommunitymapsforknowledgesharing-2017', 'http://doi.org/10.1145/3078714.3078747', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ardissono-lucenteforte-mauro-savoca-voghera-lariccia-ontomapsemanticcommunitymapsforknowledgesharing-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ardissono-lucenteforte-mauro-savoca-voghera-lariccia-ontomapsemanticcommunitymapsforknowledgesharing-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{Ardissono:2017c,\r\nauthor = {Ardissono, Liliana and Lucenteforte, Maurizio and Mauro, Noemi and Savoca, Adriano and Voghera, Angioletta and La Riccia, Luigi},\r\ntitle = {OnToMap: Semantic Community Maps for Knowledge Sharing},\r\nyear = {2017},\r\nisbn = {9781450347082},\r\npublisher = {Association for Computing Machinery},\r\naddress = {New York, NY, USA},\r\nurl_Link = {https://doi.org/10.1145/3078714.3078747},\r\nurl_Paper = {2017_HT_Demo_Ontomap.pdf},\r\ndoi = {10.1145/3078714.3078747},\r\nabstract = {We present the information retrieval model adopted in the OnToMap Participatory GIS. The model addresses the limitations of keyword-based and category-based search by semantically interpreting the information needs specified in free-text search queries. The model is based on an ontological representation of linguistic and encyclopaedic knowledge, which makes it possible to exploit terms and synonyms occurring in the definitions of concepts to flexibly match the user&#x27;s and system&#x27;s terminologies. This feature enables users to query the application using their own vocabulary.},\r\nbooktitle = {Proceedings of the 28th ACM Conference on Hypertext and Social Media},\r\npages = {317–318},\r\nnumpages = {2},\r\nkeywords = {ontologies, linked data, information search, participatory gis},\r\nlocation = {Prague, Czech Republic},\r\nseries = {HT &#x27;17}\r\n}\r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  We present the information retrieval model adopted in the OnToMap Participatory GIS. The model addresses the limitations of keyword-based and category-based search by semantically interpreting the information needs specified in free-text search queries. The model is based on an ontological representation of linguistic and encyclopaedic knowledge, which makes it possible to exploit terms and synonyms occurring in the definitions of concepts to flexibly match the user's and system's terminologies. This feature enables users to query the application using their own vocabulary.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"mauro-personalizationingeographicalinformationsearch-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2017_FDIA.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'mauro-personalizationingeographicalinformationsearch-2017', 'http://www.di.unito.it/~mauro/publications/2017_FDIA.pdf', event);\">\n    Personalization in Geographical Information Search.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>\n</span>\n\n  \n\n</span>\n\n  In <i>Seventh BCS-IRSG Symposium on Future Directions in Information Access</i>, of <i>FDIA 2017</i>, pages 1–4, Barcelona, Spain,  2017. eWiC Series\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://dx.doi.org/10.14236/ewic/FDIA2017.5\"\n     onclick=\"log_download('mauro-personalizationingeographicalinformationsearch-2017', 'http://dx.doi.org/10.14236/ewic/FDIA2017.5', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Personalization in Geographical Information Search [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2017_FDIA.pdf\"\n     onclick=\"log_download('mauro-personalizationingeographicalinformationsearch-2017', 'http://www.di.unito.it/~mauro/publications/2017_FDIA.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Personalization in Geographical Information Search [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.14236/ewic/FDIA2017.5\"\n     onclick=\"log_download('mauro-personalizationingeographicalinformationsearch-2017', 'http://doi.org/10.14236/ewic/FDIA2017.5', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mauro-personalizationingeographicalinformationsearch-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mauro-personalizationingeographicalinformationsearch-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{Mauro:2017a,\r\n author = {Noemi Mauro},\r\n title = {Personalization in Geographical Information Search},\r\n booktitle = {Seventh BCS-IRSG Symposium on Future Directions in Information Access},\r\n series = {FDIA 2017},\r\n year = {2017},\r\n address = {Barcelona, Spain},\r\n pages = {1--4},\r\n numpages = {4},\r\n url_Link = {http://dx.doi.org/10.14236/ewic/FDIA2017.5},\r\n url_Paper = {2017_FDIA.pdf},\r\n doi = {10.14236/ewic/FDIA2017.5},\r\n publisher = {eWiC Series},\r\n keywords = {Semantic search, personalization, user model, participatory GIS, linked data, ontologies},\r\n abstract = {My PhD project focuses on the personalization of Participatory GIS (PGIS). In the project I analyze two methodologies to offer personalized search results in community maps and a natural interaction with the system. The first consists of automatically gathering the users interests at a concept level in order to generate clusters of concepts useful for the presentation of thematic maps. This is done by creating ontology-based user models mapped to the domain ontology adopted by the PGIS. The second concerns the creation of content-based user models useful for filtering the items belonging to each concept in a multifaceted way: the goal is that of reducing and adapting the information space presented in the map. In the project I also analyze how these techniques may be jointly used during the query expansion process to retrieve more accurate and relevant search results.}\r\n} \r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  My PhD project focuses on the personalization of Participatory GIS (PGIS). In the project I analyze two methodologies to offer personalized search results in community maps and a natural interaction with the system. The first consists of automatically gathering the users interests at a concept level in order to generate clusters of concepts useful for the presentation of thematic maps. This is done by creating ontology-based user models mapped to the domain ontology adopted by the PGIS. The second concerns the creation of content-based user models useful for filtering the items belonging to each concept in a multifaceted way: the goal is that of reducing and adapting the information space presented in the map. In the project I also analyze how these techniques may be jointly used during the query expansion process to retrieve more accurate and relevant search results.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"mauro-ardissono-thematicmapsforgeographicalinformationsearch-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2017_PATCH_Thematic_Maps.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'mauro-ardissono-thematicmapsforgeographicalinformationsearch-2017', 'http://www.di.unito.it/~mauro/publications/2017_PATCH_Thematic_Maps.pdf', event);\">\n    Thematic Maps for Geographical Information Search.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>;  and Ardissono, L.\n</span>\n\n  \n\n</span>\n\n  In <i>Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization</i>, of <i>UMAP '17</i>, pages 337–342, New York, NY, USA,  2017. Association for Computing Machinery\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1145/3099023.3099087\"\n     onclick=\"log_download('mauro-ardissono-thematicmapsforgeographicalinformationsearch-2017', 'https://doi.org/10.1145/3099023.3099087', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Thematic Maps for Geographical Information Search [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2017_PATCH_Thematic_Maps.pdf\"\n     onclick=\"log_download('mauro-ardissono-thematicmapsforgeographicalinformationsearch-2017', 'http://www.di.unito.it/~mauro/publications/2017_PATCH_Thematic_Maps.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Thematic Maps for Geographical Information Search [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1145/3099023.3099087\"\n     onclick=\"log_download('mauro-ardissono-thematicmapsforgeographicalinformationsearch-2017', 'http://doi.org/10.1145/3099023.3099087', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mauro-ardissono-thematicmapsforgeographicalinformationsearch-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mauro-ardissono-thematicmapsforgeographicalinformationsearch-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{Mauro:2017c,\r\nauthor = {Mauro, Noemi and Ardissono, Liliana},\r\ntitle = {Thematic Maps for Geographical Information Search},\r\nyear = {2017},\r\nisbn = {9781450350679},\r\npublisher = {Association for Computing Machinery},\r\naddress = {New York, NY, USA},\r\nurl_Link = {https://doi.org/10.1145/3099023.3099087},\r\nurl_Paper = {2017_PATCH_Thematic_Maps.pdf},\r\ndoi = {10.1145/3099023.3099087},\r\nabstract = {The exploration of cultural heritage information is challenged by the fact that most data provided by online resources is fragmented and it is repository or application-centered. In order to address this issue, a data integration approach should be adopted, that makes it possible to generate custom views, focused on the user&#x27;s information needs, but easily extensible to support the inspection of topically related contents.In this paper, we present a model supporting the management of thematic maps for information exploration, and their integration with query expansion during the interaction with the user. Our model is based on: (i) an ontological domain knowledge representation for describing the meaning of concepts and their semantic relations; (ii) a semantic interpretation model for identifying the concepts referenced in the user&#x27;s queries. We are experimenting our model in the OnToMap Participatory GIS, which manages interactive community maps for information sharing and participatory decision-making.},\r\nbooktitle = {Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization},\r\npages = {337–342},\r\nnumpages = {6},\r\nkeywords = {thematic maps, personalization, information search},\r\nlocation = {Bratislava, Slovakia},\r\nseries = {UMAP &#x27;17}\r\n}\r\n\r\n\r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  The exploration of cultural heritage information is challenged by the fact that most data provided by online resources is fragmented and it is repository or application-centered. In order to address this issue, a data integration approach should be adopted, that makes it possible to generate custom views, focused on the user's information needs, but easily extensible to support the inspection of topically related contents.In this paper, we present a model supporting the management of thematic maps for information exploration, and their integration with query expansion during the interaction with the user. Our model is based on: (i) an ontological domain knowledge representation for describing the meaning of concepts and their semantic relations; (ii) a semantic interpretation model for identifying the concepts referenced in the user's queries. We are experimenting our model in the OnToMap Participatory GIS, which manages interactive community maps for information sharing and participatory decision-making.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"ardissono-lucenteforte-mauro-savoca-voghera-lariccia-semanticinterpretationofsearchqueriesforpersonalization-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2017_UMAP_Poster_Ontomap.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'ardissono-lucenteforte-mauro-savoca-voghera-lariccia-semanticinterpretationofsearchqueriesforpersonalization-2017', 'http://www.di.unito.it/~mauro/publications/2017_UMAP_Poster_Ontomap.pdf', event);\">\n    Semantic Interpretation of Search Queries for Personalization.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Ardissono, L.; Lucenteforte, M.; <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>; Savoca, A.; Voghera, A.;  and La Riccia, L.\n</span>\n\n  \n\n</span>\n\n  In <i>Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization</i>, of <i>UMAP '17</i>, pages 101–102, New York, NY, USA,  2017. Association for Computing Machinery\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1145/3099023.3099030\"\n     onclick=\"log_download('ardissono-lucenteforte-mauro-savoca-voghera-lariccia-semanticinterpretationofsearchqueriesforpersonalization-2017', 'https://doi.org/10.1145/3099023.3099030', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Semantic Interpretation of Search Queries for Personalization [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2017_UMAP_Poster_Ontomap.pdf\"\n     onclick=\"log_download('ardissono-lucenteforte-mauro-savoca-voghera-lariccia-semanticinterpretationofsearchqueriesforpersonalization-2017', 'http://www.di.unito.it/~mauro/publications/2017_UMAP_Poster_Ontomap.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Semantic Interpretation of Search Queries for Personalization [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1145/3099023.3099030\"\n     onclick=\"log_download('ardissono-lucenteforte-mauro-savoca-voghera-lariccia-semanticinterpretationofsearchqueriesforpersonalization-2017', 'http://doi.org/10.1145/3099023.3099030', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ardissono-lucenteforte-mauro-savoca-voghera-lariccia-semanticinterpretationofsearchqueriesforpersonalization-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ardissono-lucenteforte-mauro-savoca-voghera-lariccia-semanticinterpretationofsearchqueriesforpersonalization-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{Ardissono:2017b,\r\nauthor = {Ardissono, Liliana and Lucenteforte, Maurizio and Mauro, Noemi and Savoca, Adriano and Voghera, Angioletta and La Riccia, Luigi},\r\ntitle = {Semantic Interpretation of Search Queries for Personalization},\r\nyear = {2017},\r\nisbn = {9781450350679},\r\npublisher = {Association for Computing Machinery},\r\naddress = {New York, NY, USA},\r\nurl_Link = {https://doi.org/10.1145/3099023.3099030},\r\nurl_Paper = {2017_UMAP_Poster_Ontomap.pdf},\r\ndoi = {10.1145/3099023.3099030},\r\nabstract = {This demo paper describes the semantic query interpretation model adopted in the OnToMap Participatory GIS and presents its benefits to information retrieval and personalized information presentation.},\r\nbooktitle = {Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization},\r\npages = {101–102},\r\nnumpages = {2},\r\nkeywords = {information search, ontologies, user modeling},\r\nlocation = {Bratislava, Slovakia},\r\nseries = {UMAP &#x27;17}\r\n}\r\n\r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  This demo paper describes the semantic query interpretation model adopted in the OnToMap Participatory GIS and presents its benefits to information retrieval and personalized information presentation.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"mauro-intelligentandpersonalizedcommunitymaps-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2017_IUI_DC.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'mauro-intelligentandpersonalizedcommunitymaps-2017', 'http://www.di.unito.it/~mauro/publications/2017_IUI_DC.pdf', event);\">\n    Intelligent and Personalized Community Maps.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 22nd International Conference on Intelligent User Interfaces Companion</i>, of <i>IUI '17 Companion</i>, pages 181–184, New York, NY, USA,  2017. Association for Computing Machinery\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1145/3030024.3038282\"\n     onclick=\"log_download('mauro-intelligentandpersonalizedcommunitymaps-2017', 'https://doi.org/10.1145/3030024.3038282', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Intelligent and Personalized Community Maps [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2017_IUI_DC.pdf\"\n     onclick=\"log_download('mauro-intelligentandpersonalizedcommunitymaps-2017', 'http://www.di.unito.it/~mauro/publications/2017_IUI_DC.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Intelligent and Personalized Community Maps [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1145/3030024.3038282\"\n     onclick=\"log_download('mauro-intelligentandpersonalizedcommunitymaps-2017', 'http://doi.org/10.1145/3030024.3038282', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mauro-intelligentandpersonalizedcommunitymaps-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mauro-intelligentandpersonalizedcommunitymaps-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{Mauro:2017d,\r\nauthor = {Mauro, Noemi},\r\ntitle = {Intelligent and Personalized Community Maps},\r\nyear = {2017},\r\nisbn = {9781450348935},\r\npublisher = {Association for Computing Machinery},\r\naddress = {New York, NY, USA},\r\nurl_Link = {https://doi.org/10.1145/3030024.3038282},\r\nurl_Paper = {2017_IUI_DC.pdf},\r\ndoi = {10.1145/3030024.3038282},\r\nabstract = {My PhD project focuses on Participatory GIS (PGIS). In the project I analyze two methodologies to offer personalized search results in community maps and a natural interaction with the system. The first consists of automatically gathering the terms according to which the users express their information needs, in order to enrich the domain conceptualization of a PGIS, giving common definitions for places. The second concerns the creation of ontology-based user models that reflect the interests, lexicon and modality of expression adopted by each person, mapped to the domain ontology adopted by the PGIS. In the project I also analyze how these techniques may be jointly used during the query expansion process to retrieve more accurate and relevant search results.},\r\nbooktitle = {Proceedings of the 22nd International Conference on Intelligent User Interfaces Companion},\r\npages = {181–184},\r\nnumpages = {4},\r\nkeywords = {linked data, semantic search, ontologies, personalization, ontology-based user model, participatory GIS},\r\nlocation = {Limassol, Cyprus},\r\nseries = {IUI &#x27;17 Companion}\r\n}\r\n\r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  My PhD project focuses on Participatory GIS (PGIS). In the project I analyze two methodologies to offer personalized search results in community maps and a natural interaction with the system. The first consists of automatically gathering the terms according to which the users express their information needs, in order to enrich the domain conceptualization of a PGIS, giving common definitions for places. The second concerns the creation of ontology-based user models that reflect the interests, lexicon and modality of expression adopted by each person, mapped to the domain ontology adopted by the PGIS. In the project I also analyze how these techniques may be jointly used during the query expansion process to retrieve more accurate and relevant search results.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"ardissono-mauro-savoca-supportingknowledgesharingandlearningviasemanticgeographicalmaps-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2017_SMART_LEARN.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'ardissono-mauro-savoca-supportingknowledgesharingandlearningviasemanticgeographicalmaps-2017', 'http://www.di.unito.it/~mauro/publications/2017_SMART_LEARN.pdf', event);\">\n    Supporting Knowledge Sharing and Learning via Semantic Geographical Maps.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Ardissono, L.; <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>;  and Savoca, A.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 2017 ACM Workshop on Intelligent Interfaces for Ubiquitous and Smart Learning</i>, of <i>SmartLearn '17</i>, pages 3–6, New York, NY, USA,  2017. Association for Computing Machinery\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1145/3038535.3038537\"\n     onclick=\"log_download('ardissono-mauro-savoca-supportingknowledgesharingandlearningviasemanticgeographicalmaps-2017', 'https://doi.org/10.1145/3038535.3038537', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Supporting Knowledge Sharing and Learning via Semantic Geographical Maps [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2017_SMART_LEARN.pdf\"\n     onclick=\"log_download('ardissono-mauro-savoca-supportingknowledgesharingandlearningviasemanticgeographicalmaps-2017', 'http://www.di.unito.it/~mauro/publications/2017_SMART_LEARN.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Supporting Knowledge Sharing and Learning via Semantic Geographical Maps [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1145/3038535.3038537\"\n     onclick=\"log_download('ardissono-mauro-savoca-supportingknowledgesharingandlearningviasemanticgeographicalmaps-2017', 'http://doi.org/10.1145/3038535.3038537', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ardissono-mauro-savoca-supportingknowledgesharingandlearningviasemanticgeographicalmaps-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ardissono-mauro-savoca-supportingknowledgesharingandlearningviasemanticgeographicalmaps-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{Ardissono:2017,\r\nauthor = {Ardissono, Liliana and Mauro, Noemi and Savoca, Adriano},\r\ntitle = {Supporting Knowledge Sharing and Learning via Semantic Geographical Maps},\r\nyear = {2017},\r\nisbn = {9781450349048},\r\npublisher = {Association for Computing Machinery},\r\naddress = {New York, NY, USA},\r\nurl_Link = {https://doi.org/10.1145/3038535.3038537},\r\nurl_Paper = {2017_SMART_LEARN.pdf},\r\ndoi = {10.1145/3038535.3038537},\r\nabstract = {Map-based applications are a good starting point for helping teachers in the preparation of learning material and students in their researches in social sciences. However, they offer basic information filtering support to the generation of dynamic maps. In this paper, we investigate the adoption of semantic knowledge representation and cooperative work approaches for managing thematic maps in group-based learning activities. Moreover, we present a possible solution, based on the OnToMap Participatory GIS, which uses an ontological representation of geographical information to support multi-faceted information retrieval, crowdsourcing, and map creation.},\r\nbooktitle = {Proceedings of the 2017 ACM Workshop on Intelligent Interfaces for Ubiquitous and Smart Learning},\r\npages = {3–6},\r\nnumpages = {4},\r\nkeywords = {ontologies, participatory gis, collaborative information sharing, interactive geographical maps for learning},\r\nlocation = {Limassol, Cyprus},\r\nseries = {SmartLearn &#x27;17}\r\n}\r\n\r\n\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Map-based applications are a good starting point for helping teachers in the preparation of learning material and students in their researches in social sciences. However, they offer basic information filtering support to the generation of dynamic maps. In this paper, we investigate the adoption of semantic knowledge representation and cooperative work approaches for managing thematic maps in group-based learning activities. Moreover, we present a possible solution, based on the OnToMap Participatory GIS, which uses an ontological representation of geographical information to support multi-faceted information retrieval, crowdsourcing, and map creation.\n</div>\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2016\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2016')\"\n      onkeypress=\"toggleGroup('group_2016')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2016</span>\n      <span class=\"bibbase_group_count\">\n        \n        (1)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"ardissono-lucenteforte-mauro-savoca-voghera-lariccia-explorationofculturalheritageinformationviatextualsearchqueries-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2016_MOBILEHCI.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'ardissono-lucenteforte-mauro-savoca-voghera-lariccia-explorationofculturalheritageinformationviatextualsearchqueries-2016', 'http://www.di.unito.it/~mauro/publications/2016_MOBILEHCI.pdf', event);\">\n    Exploration of Cultural Heritage Information via Textual Search Queries.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Ardissono, L.; Lucenteforte, M.; <a class=\"bibbase author link\" href=\"https://noemi-mauro.github.io/\">Mauro, N.</a>; Savoca, A.; Voghera, A.;  and La Riccia, L.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct</i>, of <i>MobileHCI '16</i>, pages 992–1001, New York, NY, USA,  2016. Association for Computing Machinery\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1145/2957265.2962648\"\n     onclick=\"log_download('ardissono-lucenteforte-mauro-savoca-voghera-lariccia-explorationofculturalheritageinformationviatextualsearchqueries-2016', 'https://doi.org/10.1145/2957265.2962648', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Exploration of Cultural Heritage Information via Textual Search Queries [link]\"\n       title=\" link\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> link</span></a>\n  &nbsp;\n  \n  <a href=\"http://www.di.unito.it/~mauro/publications/2016_MOBILEHCI.pdf\"\n     onclick=\"log_download('ardissono-lucenteforte-mauro-savoca-voghera-lariccia-explorationofculturalheritageinformationviatextualsearchqueries-2016', 'http://www.di.unito.it/~mauro/publications/2016_MOBILEHCI.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Exploration of Cultural Heritage Information via Textual Search Queries [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1145/2957265.2962648\"\n     onclick=\"log_download('ardissono-lucenteforte-mauro-savoca-voghera-lariccia-explorationofculturalheritageinformationviatextualsearchqueries-2016', 'http://doi.org/10.1145/2957265.2962648', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ardissono-lucenteforte-mauro-savoca-voghera-lariccia-explorationofculturalheritageinformationviatextualsearchqueries-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ardissono-lucenteforte-mauro-savoca-voghera-lariccia-explorationofculturalheritageinformationviatextualsearchqueries-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{Ardissono:2016,\r\nauthor = {Ardissono, Liliana and Lucenteforte, Maurizio and Mauro, Noemi and Savoca, Adriano and Voghera, Angioletta and La Riccia, Luigi},\r\ntitle = {Exploration of Cultural Heritage Information via Textual Search Queries},\r\nyear = {2016},\r\nisbn = {9781450344135},\r\npublisher = {Association for Computing Machinery},\r\naddress = {New York, NY, USA},\r\nurl_Link = {https://doi.org/10.1145/2957265.2962648},\r\nurl_Paper = {2016_MOBILEHCI.pdf},\r\ndoi = {10.1145/2957265.2962648},\r\nabstract = {Searching information in a Geographical Information System (GIS) usually imposes that users explore precompiled category catalogs and select the types of information they are looking for. Unfortunately, that approach is challenging because it forces people to adhere to a conceptualization of the information space that might be different from their own. In order to address this issue, we propose to support textual search as the basic interaction model, exploiting linguistic information, together with category exploration, for query interpretation and expansion. This paper describes our model and its adoption in the OnToMap Participatory GIS.},\r\nbooktitle = {Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct},\r\npages = {992–1001},\r\nnumpages = {10},\r\nkeywords = {community maps, GIS, text-based information search},\r\nlocation = {Florence, Italy},\r\nseries = {MobileHCI &#x27;16}\r\n}\r\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Searching information in a Geographical Information System (GIS) usually imposes that users explore precompiled category catalogs and select the types of information they are looking for. Unfortunately, that approach is challenging because it forces people to adhere to a conceptualization of the information space that might be different from their own. In order to address this issue, we propose to support textual search as the basic interaction model, exploiting linguistic information, together with category exploration, for query interpretation and expansion. This paper describes our model and its adoption in the OnToMap Participatory GIS.\n</div>\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n\n\n\n  </div>\n\n\n  <!-- Modal -->\n\n  <!-- <iframe id=\"bibbase_network_frame\" -->\n  <!--         src=\"//bibbase.org/network/control\" -->\n  <!--         style=\"display: none;\"> -->\n  <!-- </iframe> -->\n\n</div>\n"}; document.write(bibbase_data.data);