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: {\"jsonp\":\"1\",\"host\":\"bibbase.org\",\"ssl\":false},\n      data: [{\"title\":\"Case-based recommendation for online judges using learning itineraries\",\"type\":\"book\",\"year\":\"2017\",\"source\":\"Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)\",\"volume\":\"10339 LNAI\",\"id\":\"948509d6-ffae-3426-8965-ddee69705dcc\",\"created\":\"2018-02-26T11:10:15.577Z\",\"file_attached\":false,\"profile_id\":\"9b41408a-6b73-3771-9777-d165eecfa568\",\"group_id\":\"417c88cb-beff-360c-a95a-7fe124855ec9\",\"last_modified\":\"2018-02-26T11:10:15.577Z\",\"read\":false,\"starred\":\"true\",\"authored\":false,\"confirmed\":false,\"hidden\":false,\"private_publication\":false,\"abstract\":\"© Springer International Publishing AG 2017. Online judges are online repositories with hundreds or thousands of programming exercises or problems. They are very interesting tools for learning programming concepts, but novice users tend to feel overwhelmed by the large number of problems available. Traditional recommendation techniques based on content or collaborative filtering do not work well in these systems due to the lack of user ratings or semantic descriptions of the problems. In this work, we propose a recommendation approach based on learning itineraries, i.e., the sequences of problems that the users tried to solve. Our experiments reveal that interesting learning paths can emerge from previous user experiences and we can use those learning paths to recommend interesting problems to new users. We also show that the recommendation can be improved if we consider not only the problems but also the order in which they were solved.\",\"bibtype\":\"book\",\"author\":\"Sánchez-Ruiz, A.A. and Jimenez-Diaz, G. and Gómez-Martín, P.P. and Gómez-Martín, M.A.\",\"doi\":\"10.1007/978-3-319-61030-6_22\",\"bibtex\":\"@book{\\n title = {Case-based recommendation for online judges using learning itineraries},\\n type = {book},\\n year = {2017},\\n source = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},\\n volume = {10339 LNAI},\\n id = {948509d6-ffae-3426-8965-ddee69705dcc},\\n created = {2018-02-26T11:10:15.577Z},\\n file_attached = {false},\\n profile_id = {9b41408a-6b73-3771-9777-d165eecfa568},\\n group_id = {417c88cb-beff-360c-a95a-7fe124855ec9},\\n last_modified = {2018-02-26T11:10:15.577Z},\\n read = {false},\\n starred = {true},\\n authored = {false},\\n confirmed = {false},\\n hidden = {false},\\n private_publication = {false},\\n abstract = {© Springer International Publishing AG 2017. Online judges are online repositories with hundreds or thousands of programming exercises or problems. They are very interesting tools for learning programming concepts, but novice users tend to feel overwhelmed by the large number of problems available. Traditional recommendation techniques based on content or collaborative filtering do not work well in these systems due to the lack of user ratings or semantic descriptions of the problems. In this work, we propose a recommendation approach based on learning itineraries, i.e., the sequences of problems that the users tried to solve. Our experiments reveal that interesting learning paths can emerge from previous user experiences and we can use those learning paths to recommend interesting problems to new users. We also show that the recommendation can be improved if we consider not only the problems but also the order in which they were solved.},\\n bibtype = {book},\\n author = {Sánchez-Ruiz, A.A. and Jimenez-Diaz, G. and Gómez-Martín, P.P. and Gómez-Martín, M.A.},\\n doi = {10.1007/978-3-319-61030-6_22}\\n}\",\"author_short\":[\"Sánchez-Ruiz,  A.\",\"Jimenez-Diaz,  G.\",\"Gómez-Martín,  P.\",\"Gómez-Martín,  M.\"],\"biburl\":\"https://bibbase.org/service/mendeley/9b41408a-6b73-3771-9777-d165eecfa568\",\"bibbaseid\":\"snchezruiz-jimenezdiaz-gmezmartn-gmezmartn-casebasedrecommendationforonlinejudgesusinglearningitineraries-2017\",\"role\":\"author\",\"urls\":{},\"metadata\":{\"authorlinks\":{\"jimenez-diaz,  g\":\"https://gaia.fdi.ucm.es/people/guille/pubs.php\"}},\"downloads\":5,\"html\":\"\"},{\"title\":\"A framework for the rapid prototyping of knowledge-based recommender systems in the learning domain\",\"type\":\"article\",\"year\":\"2012\",\"keywords\":\"Frameworks,Learning objects,Recommender systems\",\"pages\":\"167-181\",\"volume\":\"44\",\"id\":\"d1b9172a-23e5-3672-93da-a1669d10ed5d\",\"created\":\"2018-02-26T11:10:15.874Z\",\"file_attached\":false,\"profile_id\":\"9b41408a-6b73-3771-9777-d165eecfa568\",\"group_id\":\"417c88cb-beff-360c-a95a-7fe124855ec9\",\"last_modified\":\"2018-02-26T11:10:15.874Z\",\"read\":false,\"starred\":\"true\",\"authored\":false,\"confirmed\":false,\"hidden\":false,\"private_publication\":false,\"abstract\":\"In this paper we present a framework for the rapid prototyping of knowledge-based recommender systems applied to learning object recommendation. With a recommendation scheme of five stages as starting point, the framework can be configured and adapted to build different recommenders. The framework not only provides default implementations of alternative strategies for each stage, but can easily be extended with new implementations. Finally, we exemplify the use of the framework by implementing two different recommenders. Copyright © 2012, Australian Computer Society Inc.\",\"bibtype\":\"article\",\"author\":\"Ruiz-Iniesta, A. and Jiménez-Díaz, G. and Gómez-Albarrán, M.\",\"journal\":\"Journal of Research and Practice in Information Technology\",\"number\":\"2\",\"bibtex\":\"@article{\\n title = {A framework for the rapid prototyping of knowledge-based recommender systems in the learning domain},\\n type = {article},\\n year = {2012},\\n keywords = {Frameworks,Learning objects,Recommender systems},\\n pages = {167-181},\\n volume = {44},\\n id = {d1b9172a-23e5-3672-93da-a1669d10ed5d},\\n created = {2018-02-26T11:10:15.874Z},\\n file_attached = {false},\\n profile_id = {9b41408a-6b73-3771-9777-d165eecfa568},\\n group_id = {417c88cb-beff-360c-a95a-7fe124855ec9},\\n last_modified = {2018-02-26T11:10:15.874Z},\\n read = {false},\\n starred = {true},\\n authored = {false},\\n confirmed = {false},\\n hidden = {false},\\n private_publication = {false},\\n abstract = {In this paper we present a framework for the rapid prototyping of knowledge-based recommender systems applied to learning object recommendation. With a recommendation scheme of five stages as starting point, the framework can be configured and adapted to build different recommenders. The framework not only provides default implementations of alternative strategies for each stage, but can easily be extended with new implementations. Finally, we exemplify the use of the framework by implementing two different recommenders. Copyright © 2012, Australian Computer Society Inc.},\\n bibtype = {article},\\n author = {Ruiz-Iniesta, A. and Jiménez-Díaz, G. and Gómez-Albarrán, M.},\\n journal = {Journal of Research and Practice in Information Technology},\\n number = {2}\\n}\",\"author_short\":[\"Ruiz-Iniesta,  A.\",\"Jiménez-Díaz,  G.\",\"Gómez-Albarrán,  M.\"],\"biburl\":\"https://bibbase.org/service/mendeley/9b41408a-6b73-3771-9777-d165eecfa568\",\"bibbaseid\":\"ruiziniesta-jimnezdaz-gmezalbarrn-aframeworkfortherapidprototypingofknowledgebasedrecommendersystemsinthelearningdomain-2012\",\"role\":\"author\",\"urls\":{},\"keyword\":[\"Frameworks\",\"Learning objects\",\"Recommender systems\"],\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"title\":\"Personality aware recommendations to groups\",\"type\":\"inproceedings\",\"year\":\"2009\",\"keywords\":\"Conflict resolution,Group recommendation,Personality\",\"pages\":\"325-328\",\"id\":\"21a77f3f-60ed-3e1f-8a12-ba6b3a4a7f23\",\"created\":\"2018-02-26T11:10:15.927Z\",\"file_attached\":false,\"profile_id\":\"9b41408a-6b73-3771-9777-d165eecfa568\",\"group_id\":\"417c88cb-beff-360c-a95a-7fe124855ec9\",\"last_modified\":\"2018-02-26T11:10:15.927Z\",\"read\":false,\"starred\":\"true\",\"authored\":false,\"confirmed\":false,\"hidden\":false,\"private_publication\":false,\"abstract\":\"In this article we introduce a novel method of making recommendations to groups based on existing techniques of collaborative filtering and taking into account the group personality composition. We have tested our method in the movie recommendation domain and we have experimentally evaluated its behavior under heterogeneous groups according to the group personality composition. Copyright 2009 ACM.\",\"bibtype\":\"inproceedings\",\"author\":\"Recio-Garcia, J.A. and Jimenez-Diaz, G. and Sanchez-Ruiz, A.A. and Diaz-Agudo, B.\",\"doi\":\"10.1145/1639714.1639779\",\"booktitle\":\"RecSys'09 - Proceedings of the 3rd ACM Conference on Recommender Systems\",\"bibtex\":\"@inproceedings{\\n title = {Personality aware recommendations to groups},\\n type = {inproceedings},\\n year = {2009},\\n keywords = {Conflict resolution,Group recommendation,Personality},\\n pages = {325-328},\\n id = {21a77f3f-60ed-3e1f-8a12-ba6b3a4a7f23},\\n created = {2018-02-26T11:10:15.927Z},\\n file_attached = {false},\\n profile_id = {9b41408a-6b73-3771-9777-d165eecfa568},\\n group_id = {417c88cb-beff-360c-a95a-7fe124855ec9},\\n last_modified = {2018-02-26T11:10:15.927Z},\\n read = {false},\\n starred = {true},\\n authored = {false},\\n confirmed = {false},\\n hidden = {false},\\n private_publication = {false},\\n abstract = {In this article we introduce a novel method of making recommendations to groups based on existing techniques of collaborative filtering and taking into account the group personality composition. We have tested our method in the movie recommendation domain and we have experimentally evaluated its behavior under heterogeneous groups according to the group personality composition. Copyright 2009 ACM.},\\n bibtype = {inproceedings},\\n author = {Recio-Garcia, J.A. and Jimenez-Diaz, G. and Sanchez-Ruiz, A.A. and Diaz-Agudo, B.},\\n doi = {10.1145/1639714.1639779},\\n booktitle = {RecSys'09 - Proceedings of the 3rd ACM Conference on Recommender Systems}\\n}\",\"author_short\":[\"Recio-Garcia,  J.\",\"Jimenez-Diaz,  G.\",\"Sanchez-Ruiz,  A.\",\"Diaz-Agudo,  B.\"],\"biburl\":\"https://bibbase.org/service/mendeley/9b41408a-6b73-3771-9777-d165eecfa568\",\"bibbaseid\":\"reciogarcia-jimenezdiaz-sanchezruiz-diazagudo-personalityawarerecommendationstogroups-2009\",\"role\":\"author\",\"urls\":{},\"keyword\":[\"Conflict resolution\",\"Group recommendation\",\"Personality\"],\"metadata\":{\"authorlinks\":{\"jimenez-diaz,  g\":\"https://gaia.fdi.ucm.es/people/guille/pubs.php\"}},\"downloads\":0,\"html\":\"\"},{\"title\":\"Similarity metrics from social network analysis for content recommender systems\",\"type\":\"article\",\"year\":\"2017\",\"keywords\":\"Online judges,link prediction,recommender systems,similarity metrics,social network analysis\",\"volume\":\"30\",\"id\":\"9f220bfd-e945-3d76-8bf3-7b3eb674f49a\",\"created\":\"2018-02-26T11:10:15.940Z\",\"file_attached\":false,\"profile_id\":\"9b41408a-6b73-3771-9777-d165eecfa568\",\"group_id\":\"417c88cb-beff-360c-a95a-7fe124855ec9\",\"last_modified\":\"2018-02-26T11:10:15.940Z\",\"read\":false,\"starred\":\"true\",\"authored\":false,\"confirmed\":false,\"hidden\":false,\"private_publication\":false,\"abstract\":\"© 2017 - IOS Press and the authors. All rights reserved. Online judges are online systems that test solutions in programming contests and practice sessions. They tend to become large live repositories of problems, with hundreds, or even thousands, of problems. This wide problem statement availability becomes a challenge for new users who want to choose the next problem to solve depending on their knowledge. This is due to the fact that online judges usually lack meta information about the problems and the users do not express their own preferences either. Nevertheless, online judges collect a rich information about which problems have been attempted, and solved, by which users. In this paper, we consider all this information as a social network, and use social network analysis techniques for creating similarity metrics between problems that can be then used for recommendation.\",\"bibtype\":\"article\",\"author\":\"Jimenez-Diaz, G. and Gómez-Martín, P.P. and Gómez-Martín, M.A. and Sánchez-Ruiz, A.A.\",\"doi\":\"10.3233/AIC-170732\",\"journal\":\"AI Communications\",\"number\":\"3-4\",\"bibtex\":\"@article{\\n title = {Similarity metrics from social network analysis for content recommender systems},\\n type = {article},\\n year = {2017},\\n keywords = {Online judges,link prediction,recommender systems,similarity metrics,social network analysis},\\n volume = {30},\\n id = {9f220bfd-e945-3d76-8bf3-7b3eb674f49a},\\n created = {2018-02-26T11:10:15.940Z},\\n file_attached = {false},\\n profile_id = {9b41408a-6b73-3771-9777-d165eecfa568},\\n group_id = {417c88cb-beff-360c-a95a-7fe124855ec9},\\n last_modified = {2018-02-26T11:10:15.940Z},\\n read = {false},\\n starred = {true},\\n authored = {false},\\n confirmed = {false},\\n hidden = {false},\\n private_publication = {false},\\n abstract = {© 2017 - IOS Press and the authors. All rights reserved. Online judges are online systems that test solutions in programming contests and practice sessions. They tend to become large live repositories of problems, with hundreds, or even thousands, of problems. This wide problem statement availability becomes a challenge for new users who want to choose the next problem to solve depending on their knowledge. This is due to the fact that online judges usually lack meta information about the problems and the users do not express their own preferences either. Nevertheless, online judges collect a rich information about which problems have been attempted, and solved, by which users. In this paper, we consider all this information as a social network, and use social network analysis techniques for creating similarity metrics between problems that can be then used for recommendation.},\\n bibtype = {article},\\n author = {Jimenez-Diaz, G. and Gómez-Martín, P.P. and Gómez-Martín, M.A. and Sánchez-Ruiz, A.A.},\\n doi = {10.3233/AIC-170732},\\n journal = {AI Communications},\\n number = {3-4}\\n}\",\"author_short\":[\"Jimenez-Diaz,  G.\",\"Gómez-Martín,  P.\",\"Gómez-Martín,  M.\",\"Sánchez-Ruiz,  A.\"],\"biburl\":\"https://bibbase.org/service/mendeley/9b41408a-6b73-3771-9777-d165eecfa568\",\"bibbaseid\":\"jimenezdiaz-gmezmartn-gmezmartn-snchezruiz-similaritymetricsfromsocialnetworkanalysisforcontentrecommendersystems-2017\",\"role\":\"author\",\"urls\":{},\"keyword\":[\"Online judges\",\"link prediction\",\"recommender systems\",\"similarity metrics\",\"social network analysis\"],\"metadata\":{\"authorlinks\":{\"jimenez-diaz,  g\":\"https://gaia.fdi.ucm.es/people/guille/pubs.php\"}},\"downloads\":0,\"html\":\"\"},{\"title\":\"A framework for the rapid prototyping of knowledge-based recommender systems in the learning domain\",\"type\":\"article\",\"year\":\"2012\",\"keywords\":\"Frameworks,Learning objects,Recommender systems\",\"pages\":\"167-181\",\"volume\":\"44\",\"id\":\"bcfd6f2e-a627-3cd5-a51c-8f82dde0e68c\",\"created\":\"2018-02-26T11:10:15.965Z\",\"file_attached\":false,\"profile_id\":\"9b41408a-6b73-3771-9777-d165eecfa568\",\"group_id\":\"417c88cb-beff-360c-a95a-7fe124855ec9\",\"last_modified\":\"2018-02-26T11:10:15.965Z\",\"read\":false,\"starred\":\"true\",\"authored\":false,\"confirmed\":false,\"hidden\":false,\"private_publication\":false,\"abstract\":\"In this paper we present a framework for the rapid prototyping of knowledge-based recommender systems applied to learning object recommendation. With a recommendation scheme of five stages as starting point, the framework can be configured and adapted to build different recommenders. The framework not only provides default implementations of alternative strategies for each stage, but can easily be extended with new implementations. Finally, we exemplify the use of the framework by implementing two different recommenders. Copyright © 2012, Australian Computer Society Inc.\",\"bibtype\":\"article\",\"author\":\"Ruiz-Iniesta, A. and Jiménez-Díaz, G. and Gómez-Albarrán, M.\",\"journal\":\"Journal of Research and Practice in Information Technology\",\"number\":\"2\",\"bibtex\":\"@article{\\n title = {A framework for the rapid prototyping of knowledge-based recommender systems in the learning domain},\\n type = {article},\\n year = {2012},\\n keywords = {Frameworks,Learning objects,Recommender systems},\\n pages = {167-181},\\n volume = {44},\\n id = {bcfd6f2e-a627-3cd5-a51c-8f82dde0e68c},\\n created = {2018-02-26T11:10:15.965Z},\\n file_attached = {false},\\n profile_id = {9b41408a-6b73-3771-9777-d165eecfa568},\\n group_id = {417c88cb-beff-360c-a95a-7fe124855ec9},\\n last_modified = {2018-02-26T11:10:15.965Z},\\n read = {false},\\n starred = {true},\\n authored = {false},\\n confirmed = {false},\\n hidden = {false},\\n private_publication = {false},\\n abstract = {In this paper we present a framework for the rapid prototyping of knowledge-based recommender systems applied to learning object recommendation. With a recommendation scheme of five stages as starting point, the framework can be configured and adapted to build different recommenders. The framework not only provides default implementations of alternative strategies for each stage, but can easily be extended with new implementations. Finally, we exemplify the use of the framework by implementing two different recommenders. Copyright © 2012, Australian Computer Society Inc.},\\n bibtype = {article},\\n author = {Ruiz-Iniesta, A. and Jiménez-Díaz, G. and Gómez-Albarrán, M.},\\n journal = {Journal of Research and Practice in Information Technology},\\n number = {2}\\n}\",\"author_short\":[\"Ruiz-Iniesta,  A.\",\"Jiménez-Díaz,  G.\",\"Gómez-Albarrán,  M.\"],\"biburl\":\"https://bibbase.org/service/mendeley/9b41408a-6b73-3771-9777-d165eecfa568\",\"bibbaseid\":\"ruiziniesta-jimnezdaz-gmezalbarrn-aframeworkfortherapidprototypingofknowledgebasedrecommendersystemsinthelearningdomain-2012\",\"role\":\"author\",\"urls\":{},\"keyword\":[\"Frameworks\",\"Learning objects\",\"Recommender systems\"],\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"title\":\"Social factors in group recommender systems\",\"type\":\"article\",\"year\":\"2013\",\"keywords\":\"Memory,Personality,Recommender systems,Social networks,Trust\",\"volume\":\"4\",\"id\":\"eb0aecad-c115-37b4-b5b7-9f5d39879fb2\",\"created\":\"2018-02-26T11:10:16.015Z\",\"file_attached\":false,\"profile_id\":\"9b41408a-6b73-3771-9777-d165eecfa568\",\"group_id\":\"417c88cb-beff-360c-a95a-7fe124855ec9\",\"last_modified\":\"2018-02-26T11:10:16.015Z\",\"read\":false,\"starred\":\"true\",\"authored\":false,\"confirmed\":false,\"hidden\":false,\"private_publication\":false,\"abstract\":\"In this article we review the existing techniques in group recommender systems and we propose some improvement based on the study of the different individual behaviors when carrying out a decision-making process. Our method includes an analysis of group personality composition and trust between each group member to improve the accuracy of group recommenders. This way we simulate the argumentation process followed by groups of people when agreeing on a common activity in a more realistic way. Moreover, we reflect how they expect the system to behave in a long term recommendation process. This is achieved by including a memory of past recommendations that increases the satisfaction of users whose preferences have not been taken into account in previous recommendations. © 2013 ACM.\",\"bibtype\":\"article\",\"author\":\"Quijano-Sanchez, L. and Recio-Garcia, J.A. and Diaz-Agudo, B. and Jimenez-Diaz, G.\",\"doi\":\"10.1145/2414425.2414433\",\"journal\":\"ACM Transactions on Intelligent Systems and Technology\",\"number\":\"1\",\"bibtex\":\"@article{\\n title = {Social factors in group recommender systems},\\n type = {article},\\n year = {2013},\\n keywords = {Memory,Personality,Recommender systems,Social networks,Trust},\\n volume = {4},\\n id = {eb0aecad-c115-37b4-b5b7-9f5d39879fb2},\\n created = {2018-02-26T11:10:16.015Z},\\n file_attached = {false},\\n profile_id = {9b41408a-6b73-3771-9777-d165eecfa568},\\n group_id = {417c88cb-beff-360c-a95a-7fe124855ec9},\\n last_modified = {2018-02-26T11:10:16.015Z},\\n read = {false},\\n starred = {true},\\n authored = {false},\\n confirmed = {false},\\n hidden = {false},\\n private_publication = {false},\\n abstract = {In this article we review the existing techniques in group recommender systems and we propose some improvement based on the study of the different individual behaviors when carrying out a decision-making process. Our method includes an analysis of group personality composition and trust between each group member to improve the accuracy of group recommenders. This way we simulate the argumentation process followed by groups of people when agreeing on a common activity in a more realistic way. Moreover, we reflect how they expect the system to behave in a long term recommendation process. This is achieved by including a memory of past recommendations that increases the satisfaction of users whose preferences have not been taken into account in previous recommendations. © 2013 ACM.},\\n bibtype = {article},\\n author = {Quijano-Sanchez, L. and Recio-Garcia, J.A. and Diaz-Agudo, B. and Jimenez-Diaz, G.},\\n doi = {10.1145/2414425.2414433},\\n journal = {ACM Transactions on Intelligent Systems and Technology},\\n number = {1}\\n}\",\"author_short\":[\"Quijano-Sanchez,  L.\",\"Recio-Garcia,  J.\",\"Diaz-Agudo,  B.\",\"Jimenez-Diaz,  G.\"],\"biburl\":\"https://bibbase.org/service/mendeley/9b41408a-6b73-3771-9777-d165eecfa568\",\"bibbaseid\":\"quijanosanchez-reciogarcia-diazagudo-jimenezdiaz-socialfactorsingrouprecommendersystems-2013\",\"role\":\"author\",\"urls\":{},\"keyword\":[\"Memory\",\"Personality\",\"Recommender systems\",\"Social networks\",\"Trust\"],\"metadata\":{\"authorlinks\":{\"jimenez-diaz,  g\":\"https://gaia.fdi.ucm.es/people/guille/pubs.php\"}},\"downloads\":0,\"html\":\"\"},{\"title\":\"Similar users or similar items? Comparing similarity-based approaches for recommender systems in online judges\",\"type\":\"book\",\"year\":\"2017\",\"source\":\"Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)\",\"volume\":\"10339 LNAI\",\"id\":\"69c36b6e-2e77-3abe-90cd-8d944e3438cc\",\"created\":\"2018-02-26T11:10:16.038Z\",\"file_attached\":false,\"profile_id\":\"9b41408a-6b73-3771-9777-d165eecfa568\",\"group_id\":\"417c88cb-beff-360c-a95a-7fe124855ec9\",\"last_modified\":\"2018-02-26T11:10:16.038Z\",\"read\":false,\"starred\":\"true\",\"authored\":false,\"confirmed\":false,\"hidden\":false,\"private_publication\":false,\"abstract\":\"© Springer International Publishing AG 2017. Online judges store hundreds of programming problems but they lack recommendation tools to help users to find relevant problems to solve. In this paper, we extend the exploration of the use of the implicit knowledge derived from the relationships created between users and problems when the users submit their solutions to the online judge. Inspired by collaborative filtering techniques, in this work we compare a user-based and a problem-based approach, both supported by node similarity metrics coming from social network analysis, and we study the inclusion of voting systems in order to rank the problems that best fit for a user in the online judge. Our experiments reveal that the selection of the highest-performing similarity metric is determined by the recommendation method. We also show that the user-based approach outperforms the problem-based approach only when the proposed voting systems are used.\",\"bibtype\":\"book\",\"author\":\"Caro-Martinez, M. and Jimenez-Diaz, G.\",\"doi\":\"10.1007/978-3-319-61030-6_7\",\"bibtex\":\"@book{\\n title = {Similar users or similar items? Comparing similarity-based approaches for recommender systems in online judges},\\n type = {book},\\n year = {2017},\\n source = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},\\n volume = {10339 LNAI},\\n id = {69c36b6e-2e77-3abe-90cd-8d944e3438cc},\\n created = {2018-02-26T11:10:16.038Z},\\n file_attached = {false},\\n profile_id = {9b41408a-6b73-3771-9777-d165eecfa568},\\n group_id = {417c88cb-beff-360c-a95a-7fe124855ec9},\\n last_modified = {2018-02-26T11:10:16.038Z},\\n read = {false},\\n starred = {true},\\n authored = {false},\\n confirmed = {false},\\n hidden = {false},\\n private_publication = {false},\\n abstract = {© Springer International Publishing AG 2017. Online judges store hundreds of programming problems but they lack recommendation tools to help users to find relevant problems to solve. In this paper, we extend the exploration of the use of the implicit knowledge derived from the relationships created between users and problems when the users submit their solutions to the online judge. Inspired by collaborative filtering techniques, in this work we compare a user-based and a problem-based approach, both supported by node similarity metrics coming from social network analysis, and we study the inclusion of voting systems in order to rank the problems that best fit for a user in the online judge. Our experiments reveal that the selection of the highest-performing similarity metric is determined by the recommendation method. We also show that the user-based approach outperforms the problem-based approach only when the proposed voting systems are used.},\\n bibtype = {book},\\n author = {Caro-Martinez, M. and Jimenez-Diaz, G.},\\n doi = {10.1007/978-3-319-61030-6_7}\\n}\",\"author_short\":[\"Caro-Martinez,  M.\",\"Jimenez-Diaz,  G.\"],\"biburl\":\"https://bibbase.org/service/mendeley/9b41408a-6b73-3771-9777-d165eecfa568\",\"bibbaseid\":\"caromartinez-jimenezdiaz-similarusersorsimilaritemscomparingsimilaritybasedapproachesforrecommendersystemsinonlinejudges-2017\",\"role\":\"author\",\"urls\":{},\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"title\":\"A hybrid user-centred recommendation strategy applied to repositories of learning objects\",\"type\":\"article\",\"year\":\"2012\",\"keywords\":\"Hybrid recommender,Learning object,Personalisation,VLC,Virtual learning communities\",\"pages\":\"302-321\",\"volume\":\"8\",\"id\":\"f5dee595-98f3-303d-b78b-bbba4be714bd\",\"created\":\"2018-02-26T11:10:16.051Z\",\"file_attached\":false,\"profile_id\":\"9b41408a-6b73-3771-9777-d165eecfa568\",\"group_id\":\"417c88cb-beff-360c-a95a-7fe124855ec9\",\"last_modified\":\"2018-02-26T11:10:16.051Z\",\"read\":false,\"starred\":\"true\",\"authored\":false,\"confirmed\":false,\"hidden\":false,\"private_publication\":false,\"abstract\":\"This article describes the guidelines followed in the design of a framework for managing learning object repositories that can be applied to different domains. The main features of the framework are the engagement of the virtual learning community in authoring and maintenance tasks, along with the use of recommender system technology in order to provide personalised searching and retrieval features. This article mainly focuses on the recommendation tasks, which help to identify suitable resources for the students in the virtual learning community. The recommendation approach follows a cascade hybrid strategy that refines the decisions of a case-based recommender by using a collaborative one. The former provides resources that fit the current student profile and promote her learning process. The later includes in the retrieval process the opinion about the usefulness of the resources provided by other members of the virtual learning community. Copyright © 2012 Inderscience Enterprises Ltd.\",\"bibtype\":\"article\",\"author\":\"Ruiz-Iniesta, A. and Jiménez-Díaz, G. and Gómez-Albarrán, M.\",\"doi\":\"10.1504/IJWBC.2012.048054\",\"journal\":\"International Journal of Web Based Communities\",\"number\":\"3\",\"bibtex\":\"@article{\\n title = {A hybrid user-centred recommendation strategy applied to repositories of learning objects},\\n type = {article},\\n year = {2012},\\n keywords = {Hybrid recommender,Learning object,Personalisation,VLC,Virtual learning communities},\\n pages = {302-321},\\n volume = {8},\\n id = {f5dee595-98f3-303d-b78b-bbba4be714bd},\\n created = {2018-02-26T11:10:16.051Z},\\n file_attached = {false},\\n profile_id = {9b41408a-6b73-3771-9777-d165eecfa568},\\n group_id = {417c88cb-beff-360c-a95a-7fe124855ec9},\\n last_modified = {2018-02-26T11:10:16.051Z},\\n read = {false},\\n starred = {true},\\n authored = {false},\\n confirmed = {false},\\n hidden = {false},\\n private_publication = {false},\\n abstract = {This article describes the guidelines followed in the design of a framework for managing learning object repositories that can be applied to different domains. The main features of the framework are the engagement of the virtual learning community in authoring and maintenance tasks, along with the use of recommender system technology in order to provide personalised searching and retrieval features. This article mainly focuses on the recommendation tasks, which help to identify suitable resources for the students in the virtual learning community. The recommendation approach follows a cascade hybrid strategy that refines the decisions of a case-based recommender by using a collaborative one. The former provides resources that fit the current student profile and promote her learning process. The later includes in the retrieval process the opinion about the usefulness of the resources provided by other members of the virtual learning community. Copyright © 2012 Inderscience Enterprises Ltd.},\\n bibtype = {article},\\n author = {Ruiz-Iniesta, A. and Jiménez-Díaz, G. and Gómez-Albarrán, M.},\\n doi = {10.1504/IJWBC.2012.048054},\\n journal = {International Journal of Web Based Communities},\\n number = {3}\\n}\",\"author_short\":[\"Ruiz-Iniesta,  A.\",\"Jiménez-Díaz,  G.\",\"Gómez-Albarrán,  M.\"],\"biburl\":\"https://bibbase.org/service/mendeley/9b41408a-6b73-3771-9777-d165eecfa568\",\"bibbaseid\":\"ruiziniesta-jimnezdaz-gmezalbarrn-ahybridusercentredrecommendationstrategyappliedtorepositoriesoflearningobjects-2012\",\"role\":\"author\",\"urls\":{},\"keyword\":[\"Hybrid recommender\",\"Learning object\",\"Personalisation\",\"VLC\",\"Virtual learning communities\"],\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"title\":\"Teaching GoF design patterns through refactoring and role-play\",\"type\":\"article\",\"year\":\"2008\",\"keywords\":\"Active learning,Object-oriented design pattern learning,Pattern-directed refactoring,Role-play\",\"pages\":\"717-728\",\"volume\":\"24\",\"id\":\"763fcf85-51ef-3e03-99b0-97e4a5f79581\",\"created\":\"2018-02-26T11:10:16.060Z\",\"file_attached\":false,\"profile_id\":\"9b41408a-6b73-3771-9777-d165eecfa568\",\"group_id\":\"417c88cb-beff-360c-a95a-7fe124855ec9\",\"last_modified\":\"2018-02-26T11:10:16.060Z\",\"read\":false,\"starred\":\"true\",\"authored\":false,\"confirmed\":false,\"hidden\":false,\"private_publication\":false,\"abstract\":\"In order to fully understand the implications of object-oriented design patterns, students need to consider alternative designs to a problem and to analyse these solutions in terms of coupling, cohesion and extensibility. Lecture-based approaches to teaching design patterns do not provide students with the insights needed unless they already have experience in object-oriented design. In this paper we present an approach to teaching design patterns that promotes active learning and makes students participate in refactorings through role-play sessions. We describe two experiments that demonstrate student acceptance and present promising results on the effectiveness of the approach. © 2008 TEMPUS Publications.\",\"bibtype\":\"article\",\"author\":\"Jiménez-Díaz, G. and Gómez-Albarrán, M. and González-Calero, P.A.\",\"journal\":\"International Journal of Engineering Education\",\"number\":\"4\",\"bibtex\":\"@article{\\n title = {Teaching GoF design patterns through refactoring and role-play},\\n type = {article},\\n year = {2008},\\n keywords = {Active learning,Object-oriented design pattern learning,Pattern-directed refactoring,Role-play},\\n pages = {717-728},\\n volume = {24},\\n id = {763fcf85-51ef-3e03-99b0-97e4a5f79581},\\n created = {2018-02-26T11:10:16.060Z},\\n file_attached = {false},\\n profile_id = {9b41408a-6b73-3771-9777-d165eecfa568},\\n group_id = {417c88cb-beff-360c-a95a-7fe124855ec9},\\n last_modified = {2018-02-26T11:10:16.060Z},\\n read = {false},\\n starred = {true},\\n authored = {false},\\n confirmed = {false},\\n hidden = {false},\\n private_publication = {false},\\n abstract = {In order to fully understand the implications of object-oriented design patterns, students need to consider alternative designs to a problem and to analyse these solutions in terms of coupling, cohesion and extensibility. Lecture-based approaches to teaching design patterns do not provide students with the insights needed unless they already have experience in object-oriented design. In this paper we present an approach to teaching design patterns that promotes active learning and makes students participate in refactorings through role-play sessions. We describe two experiments that demonstrate student acceptance and present promising results on the effectiveness of the approach. © 2008 TEMPUS Publications.},\\n bibtype = {article},\\n author = {Jiménez-Díaz, G. and Gómez-Albarrán, M. and González-Calero, P.A.},\\n journal = {International Journal of Engineering Education},\\n number = {4}\\n}\",\"author_short\":[\"Jiménez-Díaz,  G.\",\"Gómez-Albarrán,  M.\",\"González-Calero,  P.\"],\"biburl\":\"https://bibbase.org/service/mendeley/9b41408a-6b73-3771-9777-d165eecfa568\",\"bibbaseid\":\"jimnezdaz-gmezalbarrn-gonzlezcalero-teachinggofdesignpatternsthroughrefactoringandroleplay-2008\",\"role\":\"author\",\"urls\":{},\"keyword\":[\"Active learning\",\"Object-oriented design pattern learning\",\"Pattern-directed refactoring\",\"Role-play\"],\"metadata\":{\"authorlinks\":{\"gonzález-calero,  p\":\"https://gaia.fdi.ucm.es/research/bb/\"}},\"downloads\":0,\"html\":\"\"},{\"title\":\"A Wikia census: motives, tools and insights\",\"type\":\"inproceedings\",\"year\":\"2018\",\"keywords\":\"Knowledge P2P production,Wikia,census,collaborative work,online communities,wikis,wikisphere\",\"pages\":\"2:1--2:6\",\"websites\":\"http://dl.acm.org/citation.cfm?doid=3233391.3233526\",\"publisher\":\"ACM Press\",\"city\":\"Paris, France\",\"id\":\"25703a0e-cbf0-396a-a041-b3bd27a7326f\",\"created\":\"2018-09-30T10:26:31.579Z\",\"accessed\":\"2018-08-29\",\"file_attached\":false,\"profile_id\":\"9b41408a-6b73-3771-9777-d165eecfa568\",\"group_id\":\"417c88cb-beff-360c-a95a-7fe124855ec9\",\"last_modified\":\"2018-09-30T10:26:31.579Z\",\"read\":false,\"starred\":\"true\",\"authored\":false,\"confirmed\":\"true\",\"hidden\":false,\"private_publication\":false,\"bibtype\":\"inproceedings\",\"author\":\"Jimenez-Diaz, Guillermo and Serrano, Abel and Arroyo, Javier\",\"doi\":\"10.1145/3233391.3233526\",\"booktitle\":\"Proceedings of the 14th International Symposium on Open Collaboration - OpenSym '18\",\"bibtex\":\"@inproceedings{\\n title = {A Wikia census: motives, tools and insights},\\n type = {inproceedings},\\n year = {2018},\\n keywords = {Knowledge P2P production,Wikia,census,collaborative work,online communities,wikis,wikisphere},\\n pages = {2:1--2:6},\\n websites = {http://dl.acm.org/citation.cfm?doid=3233391.3233526},\\n publisher = {ACM Press},\\n city = {Paris, France},\\n id = {25703a0e-cbf0-396a-a041-b3bd27a7326f},\\n created = {2018-09-30T10:26:31.579Z},\\n accessed = {2018-08-29},\\n file_attached = {false},\\n profile_id = {9b41408a-6b73-3771-9777-d165eecfa568},\\n group_id = {417c88cb-beff-360c-a95a-7fe124855ec9},\\n last_modified = {2018-09-30T10:26:31.579Z},\\n read = {false},\\n starred = {true},\\n authored = {false},\\n confirmed = {true},\\n hidden = {false},\\n private_publication = {false},\\n bibtype = {inproceedings},\\n author = {Jimenez-Diaz, Guillermo and Serrano, Abel and Arroyo, Javier},\\n doi = {10.1145/3233391.3233526},\\n booktitle = {Proceedings of the 14th International Symposium on Open Collaboration - OpenSym '18}\\n}\",\"author_short\":[\"Jimenez-Diaz,  G.\",\"Serrano,  A.\",\"Arroyo,  J.\"],\"urls\":{\"Website\":\"http://dl.acm.org/citation.cfm?doid=3233391.3233526\"},\"biburl\":\"https://bibbase.org/service/mendeley/9b41408a-6b73-3771-9777-d165eecfa568\",\"bibbaseid\":\"jimenezdiaz-serrano-arroyo-awikiacensusmotivestoolsandinsights-2018\",\"role\":\"author\",\"keyword\":[\"Knowledge P2P production\",\"Wikia\",\"census\",\"collaborative work\",\"online communities\",\"wikis\",\"wikisphere\"],\"metadata\":{\"authorlinks\":{\"jimenez-diaz,  g\":\"https://gaia.fdi.ucm.es/people/guille/pubs.php\"}},\"downloads\":12,\"html\":\"\"},{\"title\":\"Case Base Elicitation for a Context-Aware Recommender System\",\"type\":\"inproceedings\",\"year\":\"2018\",\"keywords\":\"Case-based reasoning,Cold start,Context-aware recommender system,Knowledge acquisition\",\"pages\":\"170-185\",\"volume\":\"11156 LNAI\",\"websites\":\"http://link.springer.com/10.1007/978-3-030-01081-2_12\",\"month\":\"7\",\"publisher\":\"Springer\",\"day\":\"9\",\"id\":\"5952e01c-0d3b-3f3e-8c56-e7febf22cf77\",\"created\":\"2019-02-12T17:15:03.947Z\",\"accessed\":\"2019-02-12\",\"file_attached\":false,\"profile_id\":\"9b41408a-6b73-3771-9777-d165eecfa568\",\"group_id\":\"417c88cb-beff-360c-a95a-7fe124855ec9\",\"last_modified\":\"2019-02-12T17:47:41.650Z\",\"read\":false,\"starred\":false,\"authored\":false,\"confirmed\":\"true\",\"hidden\":false,\"private_publication\":false,\"abstract\":\"BACKGROUND In this study, the serum B-cell activating factor belonging to tumor necrosis factor family (BAFF) levels in patients with myeloperoxidase (MPO)-antineutrophil cytoplasmic antibodies (ANCA)-associated vasculitis (AAV) were measured, and their clinical significance was further analyzed. METHODS One hundred twenty-one patients with MPO-AAV were enrolled in this study. Eighty-three patients had active vasculitis and 38 were in remission. Fifty-five healthy individuals were used as healthy controls. The levels of serum BAFF were assessed using commercial available enzyme-linked immunosorbent assay kits. The correlations between serum BAFF and Birmingham Vasculitis Activity Score, erythrocyte sedimentation rate and MPO-ANCA were further evaluated. RESULTS The levels of serum BAFF of patients with MPO-AAV in both active (6.06±5.02 ng/mL) and remission phases (3.60±3.83 ng/mL) were significantly higher than those in healthy controls (0.87±0.31 ng/mL) (P<0.001, respectively). The serum BAFF levels in patients with active vasculitis were significantly higher than those in remission (P<0.001). Serum BAFF levels were significantly correlated with Birmingham Vasculitis Activity Score (r=0.320, P<0.001) and erythrocyte sedimentation rate value (r=0.311, P<0.01) in all patients, but no correlation was found between the levels of serum BAFF and MPO-ANCA. Using receiver-operating characteristics statistics, the cutoff values of serum BAFF level for indicating the presence of MPO-AAV and active vasculitis were 1.58 and 4.20 ng/mL, respectively. CONCLUSIONS The levels of serum BAFF were elevated in patients with MPO-AAV and associated with disease activity, but they were not related with the levels of MPO-ANCA.\",\"bibtype\":\"inproceedings\",\"author\":\"Jorro-Aragoneses, Jose Luis and Jimenez-Díaz, Guillermo and Recio-García, Juan Antonio and Díaz-Agudo, Belén\",\"doi\":\"10.1007/978-3-030-01081-2_12\",\"booktitle\":\"Case-Based Reasoning Research and Development - 26th International Conference, ICCBR 2018\",\"bibtex\":\"@inproceedings{\\n title = {Case Base Elicitation for a Context-Aware Recommender System},\\n type = {inproceedings},\\n year = {2018},\\n keywords = {Case-based reasoning,Cold start,Context-aware recommender system,Knowledge acquisition},\\n pages = {170-185},\\n volume = {11156 LNAI},\\n websites = {http://link.springer.com/10.1007/978-3-030-01081-2_12},\\n month = {7},\\n publisher = {Springer},\\n day = {9},\\n id = {5952e01c-0d3b-3f3e-8c56-e7febf22cf77},\\n created = {2019-02-12T17:15:03.947Z},\\n accessed = {2019-02-12},\\n file_attached = {false},\\n profile_id = {9b41408a-6b73-3771-9777-d165eecfa568},\\n group_id = {417c88cb-beff-360c-a95a-7fe124855ec9},\\n last_modified = {2019-02-12T17:47:41.650Z},\\n read = {false},\\n starred = {false},\\n authored = {false},\\n confirmed = {true},\\n hidden = {false},\\n private_publication = {false},\\n abstract = {BACKGROUND In this study, the serum B-cell activating factor belonging to tumor necrosis factor family (BAFF) levels in patients with myeloperoxidase (MPO)-antineutrophil cytoplasmic antibodies (ANCA)-associated vasculitis (AAV) were measured, and their clinical significance was further analyzed. METHODS One hundred twenty-one patients with MPO-AAV were enrolled in this study. Eighty-three patients had active vasculitis and 38 were in remission. Fifty-five healthy individuals were used as healthy controls. The levels of serum BAFF were assessed using commercial available enzyme-linked immunosorbent assay kits. The correlations between serum BAFF and Birmingham Vasculitis Activity Score, erythrocyte sedimentation rate and MPO-ANCA were further evaluated. RESULTS The levels of serum BAFF of patients with MPO-AAV in both active (6.06±5.02 ng/mL) and remission phases (3.60±3.83 ng/mL) were significantly higher than those in healthy controls (0.87±0.31 ng/mL) (P<0.001, respectively). The serum BAFF levels in patients with active vasculitis were significantly higher than those in remission (P<0.001). Serum BAFF levels were significantly correlated with Birmingham Vasculitis Activity Score (r=0.320, P<0.001) and erythrocyte sedimentation rate value (r=0.311, P<0.01) in all patients, but no correlation was found between the levels of serum BAFF and MPO-ANCA. Using receiver-operating characteristics statistics, the cutoff values of serum BAFF level for indicating the presence of MPO-AAV and active vasculitis were 1.58 and 4.20 ng/mL, respectively. CONCLUSIONS The levels of serum BAFF were elevated in patients with MPO-AAV and associated with disease activity, but they were not related with the levels of MPO-ANCA.},\\n bibtype = {inproceedings},\\n author = {Jorro-Aragoneses, Jose Luis and Jimenez-Díaz, Guillermo and Recio-García, Juan Antonio and Díaz-Agudo, Belén},\\n doi = {10.1007/978-3-030-01081-2_12},\\n booktitle = {Case-Based Reasoning Research and Development - 26th International Conference, ICCBR 2018}\\n}\",\"author_short\":[\"Jorro-Aragoneses,  J., L.\",\"Jimenez-Díaz,  G.\",\"Recio-García,  J., A.\",\"Díaz-Agudo,  B.\"],\"urls\":{\"Website\":\"http://link.springer.com/10.1007/978-3-030-01081-2_12\"},\"biburl\":\"https://bibbase.org/service/mendeley/9b41408a-6b73-3771-9777-d165eecfa568\",\"bibbaseid\":\"jorroaragoneses-jimenezdaz-reciogarca-dazagudo-casebaseelicitationforacontextawarerecommendersystem-2018\",\"role\":\"author\",\"keyword\":[\"Case-based reasoning\",\"Cold start\",\"Context-aware recommender system\",\"Knowledge acquisition\"],\"metadata\":{\"authorlinks\":{\"jorro-aragoneses,  j\":\"https://gaia.fdi.ucm.es/research/xai-graph/\"}},\"downloads\":13,\"html\":\"\"},{\"title\":\"SocialFan: Integrating Social Networks Into Recommender Systems\",\"type\":\"inproceedings\",\"year\":\"2018\",\"pages\":\"171-176\",\"websites\":\"https://ieeexplore.ieee.org/document/8576033/\",\"month\":\"11\",\"publisher\":\"IEEE\",\"id\":\"a9d13a16-8b5f-30a6-b5d2-f8711292b4f4\",\"created\":\"2019-02-12T17:48:20.516Z\",\"accessed\":\"2019-02-12\",\"file_attached\":false,\"profile_id\":\"9b41408a-6b73-3771-9777-d165eecfa568\",\"group_id\":\"417c88cb-beff-360c-a95a-7fe124855ec9\",\"last_modified\":\"2019-02-12T17:48:20.599Z\",\"read\":false,\"starred\":false,\"authored\":false,\"confirmed\":false,\"hidden\":false,\"private_publication\":false,\"bibtype\":\"inproceedings\",\"author\":\"Diaz-Agudo, Belen and Jimenez-Diaz, Guillermo and Recio-Garcia, Juan A.\",\"doi\":\"10.1109/ICTAI.2018.00035\",\"booktitle\":\"IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI)\",\"bibtex\":\"@inproceedings{\\n title = {SocialFan: Integrating Social Networks Into Recommender Systems},\\n type = {inproceedings},\\n year = {2018},\\n pages = {171-176},\\n websites = {https://ieeexplore.ieee.org/document/8576033/},\\n month = {11},\\n publisher = {IEEE},\\n id = {a9d13a16-8b5f-30a6-b5d2-f8711292b4f4},\\n created = {2019-02-12T17:48:20.516Z},\\n accessed = {2019-02-12},\\n file_attached = {false},\\n profile_id = {9b41408a-6b73-3771-9777-d165eecfa568},\\n group_id = {417c88cb-beff-360c-a95a-7fe124855ec9},\\n last_modified = {2019-02-12T17:48:20.599Z},\\n read = {false},\\n starred = {false},\\n authored = {false},\\n confirmed = {false},\\n hidden = {false},\\n private_publication = {false},\\n bibtype = {inproceedings},\\n author = {Diaz-Agudo, Belen and Jimenez-Diaz, Guillermo and Recio-Garcia, Juan A.},\\n doi = {10.1109/ICTAI.2018.00035},\\n booktitle = {IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI)}\\n}\",\"author_short\":[\"Diaz-Agudo,  B.\",\"Jimenez-Diaz,  G.\",\"Recio-Garcia,  J., A.\"],\"urls\":{\"Website\":\"https://ieeexplore.ieee.org/document/8576033/\"},\"biburl\":\"https://bibbase.org/service/mendeley/9b41408a-6b73-3771-9777-d165eecfa568\",\"bibbaseid\":\"diazagudo-jimenezdiaz-reciogarcia-socialfanintegratingsocialnetworksintorecommendersystems-2018\",\"role\":\"author\",\"metadata\":{\"authorlinks\":{}},\"downloads\":9,\"html\":\"\"},{\"title\":\"RecoLibry-core: A component-based framework for building recommender systems\",\"type\":\"article\",\"year\":\"2019\",\"pages\":\"In Press\",\"websites\":\"https://www.sciencedirect.com/science/article/pii/S0950705119303296\",\"month\":\"7\",\"publisher\":\"Elsevier\",\"day\":\"25\",\"id\":\"3b19fa96-50fd-3ffc-99ab-feccf08e9f73\",\"created\":\"2019-08-20T10:49:41.602Z\",\"accessed\":\"2019-08-20\",\"file_attached\":false,\"profile_id\":\"9b41408a-6b73-3771-9777-d165eecfa568\",\"group_id\":\"417c88cb-beff-360c-a95a-7fe124855ec9\",\"last_modified\":\"2019-08-20T10:49:41.602Z\",\"read\":false,\"starred\":\"true\",\"authored\":false,\"confirmed\":\"true\",\"hidden\":false,\"private_publication\":false,\"abstract\":\"Recommendation systems are a key part of almost every modern consumer website. These systems include techniques to filter, explore and rank a huge amount of information based on users’ preferences or similar items. Designing and implementing a recommender system from scratch require skills of programming and recommending technologies. In this paper we describe RecoLibry-core, a framework to develop recommender systems based on the reuse of components provided by third-party frameworks.\",\"bibtype\":\"article\",\"author\":\"Jorro-Aragoneses, Jose L. and Recio-García, Juan A. and Díaz-Agudo, Belén and Jimenez-Diaz, Guillermo\",\"doi\":\"10.1016/J.KNOSYS.2019.07.025\",\"journal\":\"Knowledge-Based Systems\",\"bibtex\":\"@article{\\n title = {RecoLibry-core: A component-based framework for building recommender systems},\\n type = {article},\\n year = {2019},\\n pages = {In Press},\\n websites = {https://www.sciencedirect.com/science/article/pii/S0950705119303296},\\n month = {7},\\n publisher = {Elsevier},\\n day = {25},\\n id = {3b19fa96-50fd-3ffc-99ab-feccf08e9f73},\\n created = {2019-08-20T10:49:41.602Z},\\n accessed = {2019-08-20},\\n file_attached = {false},\\n profile_id = {9b41408a-6b73-3771-9777-d165eecfa568},\\n group_id = {417c88cb-beff-360c-a95a-7fe124855ec9},\\n last_modified = {2019-08-20T10:49:41.602Z},\\n read = {false},\\n starred = {true},\\n authored = {false},\\n confirmed = {true},\\n hidden = {false},\\n private_publication = {false},\\n abstract = {Recommendation systems are a key part of almost every modern consumer website. These systems include techniques to filter, explore and rank a huge amount of information based on users’ preferences or similar items. Designing and implementing a recommender system from scratch require skills of programming and recommending technologies. In this paper we describe RecoLibry-core, a framework to develop recommender systems based on the reuse of components provided by third-party frameworks.},\\n bibtype = {article},\\n author = {Jorro-Aragoneses, Jose L. and Recio-García, Juan A. and Díaz-Agudo, Belén and Jimenez-Diaz, Guillermo},\\n doi = {10.1016/J.KNOSYS.2019.07.025},\\n journal = {Knowledge-Based Systems}\\n}\",\"author_short\":[\"Jorro-Aragoneses,  J., L.\",\"Recio-García,  J., A.\",\"Díaz-Agudo,  B.\",\"Jimenez-Diaz,  G.\"],\"urls\":{\"Website\":\"https://www.sciencedirect.com/science/article/pii/S0950705119303296\"},\"biburl\":\"https://bibbase.org/service/mendeley/9b41408a-6b73-3771-9777-d165eecfa568\",\"bibbaseid\":\"jorroaragoneses-reciogarca-dazagudo-jimenezdiaz-recolibrycoreacomponentbasedframeworkforbuildingrecommendersystems-2019\",\"role\":\"author\",\"metadata\":{\"authorlinks\":{\"jimenez-diaz,  g\":\"https://gaia.fdi.ucm.es/people/guille/pubs.php\"}},\"downloads\":16,\"html\":\"\"},{\"title\":\"An Algorithm Independent Case-Based Explanation Approach for Recommender Systems Using Interaction Graphs\",\"type\":\"inproceedings\",\"year\":\"2019\",\"pages\":\"In Press\",\"publisher\":\"Springer\",\"id\":\"d200eddd-569a-37bd-bf24-86bb3fbabee8\",\"created\":\"2019-08-21T07:14:20.952Z\",\"file_attached\":false,\"profile_id\":\"9b41408a-6b73-3771-9777-d165eecfa568\",\"group_id\":\"417c88cb-beff-360c-a95a-7fe124855ec9\",\"last_modified\":\"2019-08-21T07:14:20.952Z\",\"read\":false,\"starred\":\"true\",\"authored\":false,\"confirmed\":\"true\",\"hidden\":false,\"private_publication\":false,\"bibtype\":\"inproceedings\",\"author\":\"Caro-Martínez, Marta and Recio-García, Juan Antonio and Jimenez-Diaz, Guillermo\",\"booktitle\":\"Case-Based Reasoning Research and Development - 27th International Conference, ICCBR 2019\",\"bibtex\":\"@inproceedings{\\n title = {An Algorithm Independent Case-Based Explanation Approach for Recommender Systems Using Interaction Graphs},\\n type = {inproceedings},\\n year = {2019},\\n pages = {In Press},\\n publisher = {Springer},\\n id = {d200eddd-569a-37bd-bf24-86bb3fbabee8},\\n created = {2019-08-21T07:14:20.952Z},\\n file_attached = {false},\\n profile_id = {9b41408a-6b73-3771-9777-d165eecfa568},\\n group_id = {417c88cb-beff-360c-a95a-7fe124855ec9},\\n last_modified = {2019-08-21T07:14:20.952Z},\\n read = {false},\\n starred = {true},\\n authored = {false},\\n confirmed = {true},\\n hidden = {false},\\n private_publication = {false},\\n bibtype = {inproceedings},\\n author = {Caro-Martínez, Marta and Recio-García, Juan Antonio and Jimenez-Diaz, Guillermo},\\n booktitle = {Case-Based Reasoning Research and Development - 27th International Conference, ICCBR 2019}\\n}\",\"author_short\":[\"Caro-Martínez,  M.\",\"Recio-García,  J., A.\",\"Jimenez-Diaz,  G.\"],\"biburl\":\"https://bibbase.org/service/mendeley/9b41408a-6b73-3771-9777-d165eecfa568\",\"bibbaseid\":\"caromartnez-reciogarca-jimenezdiaz-analgorithmindependentcasebasedexplanationapproachforrecommendersystemsusinginteractiongraphs-2019\",\"role\":\"author\",\"urls\":{},\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"}],\n      metadata: {\"authorlinks\":{}},\n      ownerID: undefined\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=\"all.bib\" href=\"data:text/bibtex;base64,@book{
 title = {Case-based recommendation for online judges using learning itineraries},
 type = {book},
 year = {2017},
 source = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
 volume = {10339 LNAI},
 id = {948509d6-ffae-3426-8965-ddee69705dcc},
 created = {2018-02-26T11:10:15.577Z},
 file_attached = {false},
 profile_id = {9b41408a-6b73-3771-9777-d165eecfa568},
 group_id = {417c88cb-beff-360c-a95a-7fe124855ec9},
 last_modified = {2018-02-26T11:10:15.577Z},
 read = {false},
 starred = {true},
 authored = {false},
 confirmed = {false},
 hidden = {false},
 private_publication = {false},
 abstract = {© Springer International Publishing AG 2017. Online judges are online repositories with hundreds or thousands of programming exercises or problems. They are very interesting tools for learning programming concepts, but novice users tend to feel overwhelmed by the large number of problems available. Traditional recommendation techniques based on content or collaborative filtering do not work well in these systems due to the lack of user ratings or semantic descriptions of the problems. In this work, we propose a recommendation approach based on learning itineraries, i.e., the sequences of problems that the users tried to solve. Our experiments reveal that interesting learning paths can emerge from previous user experiences and we can use those learning paths to recommend interesting problems to new users. We also show that the recommendation can be improved if we consider not only the problems but also the order in which they were solved.},
 bibtype = {book},
 author = {Sánchez-Ruiz, A.A. and Jimenez-Diaz, G. and Gómez-Martín, P.P. and Gómez-Martín, M.A.},
 doi = {10.1007/978-3-319-61030-6_22}
}

@article{
 title = {A framework for the rapid prototyping of knowledge-based recommender systems in the learning domain},
 type = {article},
 year = {2012},
 keywords = {Frameworks,Learning objects,Recommender systems},
 pages = {167-181},
 volume = {44},
 id = {d1b9172a-23e5-3672-93da-a1669d10ed5d},
 created = {2018-02-26T11:10:15.874Z},
 file_attached = {false},
 profile_id = {9b41408a-6b73-3771-9777-d165eecfa568},
 group_id = {417c88cb-beff-360c-a95a-7fe124855ec9},
 last_modified = {2018-02-26T11:10:15.874Z},
 read = {false},
 starred = {true},
 authored = {false},
 confirmed = {false},
 hidden = {false},
 private_publication = {false},
 abstract = {In this paper we present a framework for the rapid prototyping of knowledge-based recommender systems applied to learning object recommendation. With a recommendation scheme of five stages as starting point, the framework can be configured and adapted to build different recommenders. The framework not only provides default implementations of alternative strategies for each stage, but can easily be extended with new implementations. Finally, we exemplify the use of the framework by implementing two different recommenders. Copyright © 2012, Australian Computer Society Inc.},
 bibtype = {article},
 author = {Ruiz-Iniesta, A. and Jiménez-Díaz, G. and Gómez-Albarrán, M.},
 journal = {Journal of Research and Practice in Information Technology},
 number = {2}
}

@inproceedings{
 title = {Personality aware recommendations to groups},
 type = {inproceedings},
 year = {2009},
 keywords = {Conflict resolution,Group recommendation,Personality},
 pages = {325-328},
 id = {21a77f3f-60ed-3e1f-8a12-ba6b3a4a7f23},
 created = {2018-02-26T11:10:15.927Z},
 file_attached = {false},
 profile_id = {9b41408a-6b73-3771-9777-d165eecfa568},
 group_id = {417c88cb-beff-360c-a95a-7fe124855ec9},
 last_modified = {2018-02-26T11:10:15.927Z},
 read = {false},
 starred = {true},
 authored = {false},
 confirmed = {false},
 hidden = {false},
 private_publication = {false},
 abstract = {In this article we introduce a novel method of making recommendations to groups based on existing techniques of collaborative filtering and taking into account the group personality composition. We have tested our method in the movie recommendation domain and we have experimentally evaluated its behavior under heterogeneous groups according to the group personality composition. Copyright 2009 ACM.},
 bibtype = {inproceedings},
 author = {Recio-Garcia, J.A. and Jimenez-Diaz, G. and Sanchez-Ruiz, A.A. and Diaz-Agudo, B.},
 doi = {10.1145/1639714.1639779},
 booktitle = {RecSys'09 - Proceedings of the 3rd ACM Conference on Recommender Systems}
}

@article{
 title = {Similarity metrics from social network analysis for content recommender systems},
 type = {article},
 year = {2017},
 keywords = {Online judges,link prediction,recommender systems,similarity metrics,social network analysis},
 volume = {30},
 id = {9f220bfd-e945-3d76-8bf3-7b3eb674f49a},
 created = {2018-02-26T11:10:15.940Z},
 file_attached = {false},
 profile_id = {9b41408a-6b73-3771-9777-d165eecfa568},
 group_id = {417c88cb-beff-360c-a95a-7fe124855ec9},
 last_modified = {2018-02-26T11:10:15.940Z},
 read = {false},
 starred = {true},
 authored = {false},
 confirmed = {false},
 hidden = {false},
 private_publication = {false},
 abstract = {© 2017 - IOS Press and the authors. All rights reserved. Online judges are online systems that test solutions in programming contests and practice sessions. They tend to become large live repositories of problems, with hundreds, or even thousands, of problems. This wide problem statement availability becomes a challenge for new users who want to choose the next problem to solve depending on their knowledge. This is due to the fact that online judges usually lack meta information about the problems and the users do not express their own preferences either. Nevertheless, online judges collect a rich information about which problems have been attempted, and solved, by which users. In this paper, we consider all this information as a social network, and use social network analysis techniques for creating similarity metrics between problems that can be then used for recommendation.},
 bibtype = {article},
 author = {Jimenez-Diaz, G. and Gómez-Martín, P.P. and Gómez-Martín, M.A. and Sánchez-Ruiz, A.A.},
 doi = {10.3233/AIC-170732},
 journal = {AI Communications},
 number = {3-4}
}

@article{
 title = {A framework for the rapid prototyping of knowledge-based recommender systems in the learning domain},
 type = {article},
 year = {2012},
 keywords = {Frameworks,Learning objects,Recommender systems},
 pages = {167-181},
 volume = {44},
 id = {bcfd6f2e-a627-3cd5-a51c-8f82dde0e68c},
 created = {2018-02-26T11:10:15.965Z},
 file_attached = {false},
 profile_id = {9b41408a-6b73-3771-9777-d165eecfa568},
 group_id = {417c88cb-beff-360c-a95a-7fe124855ec9},
 last_modified = {2018-02-26T11:10:15.965Z},
 read = {false},
 starred = {true},
 authored = {false},
 confirmed = {false},
 hidden = {false},
 private_publication = {false},
 abstract = {In this paper we present a framework for the rapid prototyping of knowledge-based recommender systems applied to learning object recommendation. With a recommendation scheme of five stages as starting point, the framework can be configured and adapted to build different recommenders. The framework not only provides default implementations of alternative strategies for each stage, but can easily be extended with new implementations. Finally, we exemplify the use of the framework by implementing two different recommenders. Copyright © 2012, Australian Computer Society Inc.},
 bibtype = {article},
 author = {Ruiz-Iniesta, A. and Jiménez-Díaz, G. and Gómez-Albarrán, M.},
 journal = {Journal of Research and Practice in Information Technology},
 number = {2}
}

@article{
 title = {Social factors in group recommender systems},
 type = {article},
 year = {2013},
 keywords = {Memory,Personality,Recommender systems,Social networks,Trust},
 volume = {4},
 id = {eb0aecad-c115-37b4-b5b7-9f5d39879fb2},
 created = {2018-02-26T11:10:16.015Z},
 file_attached = {false},
 profile_id = {9b41408a-6b73-3771-9777-d165eecfa568},
 group_id = {417c88cb-beff-360c-a95a-7fe124855ec9},
 last_modified = {2018-02-26T11:10:16.015Z},
 read = {false},
 starred = {true},
 authored = {false},
 confirmed = {false},
 hidden = {false},
 private_publication = {false},
 abstract = {In this article we review the existing techniques in group recommender systems and we propose some improvement based on the study of the different individual behaviors when carrying out a decision-making process. Our method includes an analysis of group personality composition and trust between each group member to improve the accuracy of group recommenders. This way we simulate the argumentation process followed by groups of people when agreeing on a common activity in a more realistic way. Moreover, we reflect how they expect the system to behave in a long term recommendation process. This is achieved by including a memory of past recommendations that increases the satisfaction of users whose preferences have not been taken into account in previous recommendations. © 2013 ACM.},
 bibtype = {article},
 author = {Quijano-Sanchez, L. and Recio-Garcia, J.A. and Diaz-Agudo, B. and Jimenez-Diaz, G.},
 doi = {10.1145/2414425.2414433},
 journal = {ACM Transactions on Intelligent Systems and Technology},
 number = {1}
}

@book{
 title = {Similar users or similar items? Comparing similarity-based approaches for recommender systems in online judges},
 type = {book},
 year = {2017},
 source = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
 volume = {10339 LNAI},
 id = {69c36b6e-2e77-3abe-90cd-8d944e3438cc},
 created = {2018-02-26T11:10:16.038Z},
 file_attached = {false},
 profile_id = {9b41408a-6b73-3771-9777-d165eecfa568},
 group_id = {417c88cb-beff-360c-a95a-7fe124855ec9},
 last_modified = {2018-02-26T11:10:16.038Z},
 read = {false},
 starred = {true},
 authored = {false},
 confirmed = {false},
 hidden = {false},
 private_publication = {false},
 abstract = {© Springer International Publishing AG 2017. Online judges store hundreds of programming problems but they lack recommendation tools to help users to find relevant problems to solve. In this paper, we extend the exploration of the use of the implicit knowledge derived from the relationships created between users and problems when the users submit their solutions to the online judge. Inspired by collaborative filtering techniques, in this work we compare a user-based and a problem-based approach, both supported by node similarity metrics coming from social network analysis, and we study the inclusion of voting systems in order to rank the problems that best fit for a user in the online judge. Our experiments reveal that the selection of the highest-performing similarity metric is determined by the recommendation method. We also show that the user-based approach outperforms the problem-based approach only when the proposed voting systems are used.},
 bibtype = {book},
 author = {Caro-Martinez, M. and Jimenez-Diaz, G.},
 doi = {10.1007/978-3-319-61030-6_7}
}

@article{
 title = {A hybrid user-centred recommendation strategy applied to repositories of learning objects},
 type = {article},
 year = {2012},
 keywords = {Hybrid recommender,Learning object,Personalisation,VLC,Virtual learning communities},
 pages = {302-321},
 volume = {8},
 id = {f5dee595-98f3-303d-b78b-bbba4be714bd},
 created = {2018-02-26T11:10:16.051Z},
 file_attached = {false},
 profile_id = {9b41408a-6b73-3771-9777-d165eecfa568},
 group_id = {417c88cb-beff-360c-a95a-7fe124855ec9},
 last_modified = {2018-02-26T11:10:16.051Z},
 read = {false},
 starred = {true},
 authored = {false},
 confirmed = {false},
 hidden = {false},
 private_publication = {false},
 abstract = {This article describes the guidelines followed in the design of a framework for managing learning object repositories that can be applied to different domains. The main features of the framework are the engagement of the virtual learning community in authoring and maintenance tasks, along with the use of recommender system technology in order to provide personalised searching and retrieval features. This article mainly focuses on the recommendation tasks, which help to identify suitable resources for the students in the virtual learning community. The recommendation approach follows a cascade hybrid strategy that refines the decisions of a case-based recommender by using a collaborative one. The former provides resources that fit the current student profile and promote her learning process. The later includes in the retrieval process the opinion about the usefulness of the resources provided by other members of the virtual learning community. Copyright © 2012 Inderscience Enterprises Ltd.},
 bibtype = {article},
 author = {Ruiz-Iniesta, A. and Jiménez-Díaz, G. and Gómez-Albarrán, M.},
 doi = {10.1504/IJWBC.2012.048054},
 journal = {International Journal of Web Based Communities},
 number = {3}
}

@article{
 title = {Teaching GoF design patterns through refactoring and role-play},
 type = {article},
 year = {2008},
 keywords = {Active learning,Object-oriented design pattern learning,Pattern-directed refactoring,Role-play},
 pages = {717-728},
 volume = {24},
 id = {763fcf85-51ef-3e03-99b0-97e4a5f79581},
 created = {2018-02-26T11:10:16.060Z},
 file_attached = {false},
 profile_id = {9b41408a-6b73-3771-9777-d165eecfa568},
 group_id = {417c88cb-beff-360c-a95a-7fe124855ec9},
 last_modified = {2018-02-26T11:10:16.060Z},
 read = {false},
 starred = {true},
 authored = {false},
 confirmed = {false},
 hidden = {false},
 private_publication = {false},
 abstract = {In order to fully understand the implications of object-oriented design patterns, students need to consider alternative designs to a problem and to analyse these solutions in terms of coupling, cohesion and extensibility. Lecture-based approaches to teaching design patterns do not provide students with the insights needed unless they already have experience in object-oriented design. In this paper we present an approach to teaching design patterns that promotes active learning and makes students participate in refactorings through role-play sessions. We describe two experiments that demonstrate student acceptance and present promising results on the effectiveness of the approach. © 2008 TEMPUS Publications.},
 bibtype = {article},
 author = {Jiménez-Díaz, G. and Gómez-Albarrán, M. and González-Calero, P.A.},
 journal = {International Journal of Engineering Education},
 number = {4}
}

@inproceedings{
 title = {A Wikia census: motives, tools and insights},
 type = {inproceedings},
 year = {2018},
 keywords = {Knowledge P2P production,Wikia,census,collaborative work,online communities,wikis,wikisphere},
 pages = {2:1--2:6},
 websites = {http://dl.acm.org/citation.cfm?doid=3233391.3233526},
 publisher = {ACM Press},
 city = {Paris, France},
 id = {25703a0e-cbf0-396a-a041-b3bd27a7326f},
 created = {2018-09-30T10:26:31.579Z},
 accessed = {2018-08-29},
 file_attached = {false},
 profile_id = {9b41408a-6b73-3771-9777-d165eecfa568},
 group_id = {417c88cb-beff-360c-a95a-7fe124855ec9},
 last_modified = {2018-09-30T10:26:31.579Z},
 read = {false},
 starred = {true},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 bibtype = {inproceedings},
 author = {Jimenez-Diaz, Guillermo and Serrano, Abel and Arroyo, Javier},
 doi = {10.1145/3233391.3233526},
 booktitle = {Proceedings of the 14th International Symposium on Open Collaboration - OpenSym '18}
}

@inproceedings{
 title = {Case Base Elicitation for a Context-Aware Recommender System},
 type = {inproceedings},
 year = {2018},
 keywords = {Case-based reasoning,Cold start,Context-aware recommender system,Knowledge acquisition},
 pages = {170-185},
 volume = {11156 LNAI},
 websites = {http://link.springer.com/10.1007/978-3-030-01081-2_12},
 month = {7},
 publisher = {Springer},
 day = {9},
 id = {5952e01c-0d3b-3f3e-8c56-e7febf22cf77},
 created = {2019-02-12T17:15:03.947Z},
 accessed = {2019-02-12},
 file_attached = {false},
 profile_id = {9b41408a-6b73-3771-9777-d165eecfa568},
 group_id = {417c88cb-beff-360c-a95a-7fe124855ec9},
 last_modified = {2019-02-12T17:47:41.650Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 abstract = {BACKGROUND In this study, the serum B-cell activating factor belonging to tumor necrosis factor family (BAFF) levels in patients with myeloperoxidase (MPO)-antineutrophil cytoplasmic antibodies (ANCA)-associated vasculitis (AAV) were measured, and their clinical significance was further analyzed. METHODS One hundred twenty-one patients with MPO-AAV were enrolled in this study. Eighty-three patients had active vasculitis and 38 were in remission. Fifty-five healthy individuals were used as healthy controls. The levels of serum BAFF were assessed using commercial available enzyme-linked immunosorbent assay kits. The correlations between serum BAFF and Birmingham Vasculitis Activity Score, erythrocyte sedimentation rate and MPO-ANCA were further evaluated. RESULTS The levels of serum BAFF of patients with MPO-AAV in both active (6.06±5.02 ng/mL) and remission phases (3.60±3.83 ng/mL) were significantly higher than those in healthy controls (0.87±0.31 ng/mL) (P<0.001, respectively). The serum BAFF levels in patients with active vasculitis were significantly higher than those in remission (P<0.001). Serum BAFF levels were significantly correlated with Birmingham Vasculitis Activity Score (r=0.320, P<0.001) and erythrocyte sedimentation rate value (r=0.311, P<0.01) in all patients, but no correlation was found between the levels of serum BAFF and MPO-ANCA. Using receiver-operating characteristics statistics, the cutoff values of serum BAFF level for indicating the presence of MPO-AAV and active vasculitis were 1.58 and 4.20 ng/mL, respectively. CONCLUSIONS The levels of serum BAFF were elevated in patients with MPO-AAV and associated with disease activity, but they were not related with the levels of MPO-ANCA.},
 bibtype = {inproceedings},
 author = {Jorro-Aragoneses, Jose Luis and Jimenez-Díaz, Guillermo and Recio-García, Juan Antonio and Díaz-Agudo, Belén},
 doi = {10.1007/978-3-030-01081-2_12},
 booktitle = {Case-Based Reasoning Research and Development - 26th International Conference, ICCBR 2018}
}

@inproceedings{
 title = {SocialFan: Integrating Social Networks Into Recommender Systems},
 type = {inproceedings},
 year = {2018},
 pages = {171-176},
 websites = {https://ieeexplore.ieee.org/document/8576033/},
 month = {11},
 publisher = {IEEE},
 id = {a9d13a16-8b5f-30a6-b5d2-f8711292b4f4},
 created = {2019-02-12T17:48:20.516Z},
 accessed = {2019-02-12},
 file_attached = {false},
 profile_id = {9b41408a-6b73-3771-9777-d165eecfa568},
 group_id = {417c88cb-beff-360c-a95a-7fe124855ec9},
 last_modified = {2019-02-12T17:48:20.599Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {false},
 hidden = {false},
 private_publication = {false},
 bibtype = {inproceedings},
 author = {Diaz-Agudo, Belen and Jimenez-Diaz, Guillermo and Recio-Garcia, Juan A.},
 doi = {10.1109/ICTAI.2018.00035},
 booktitle = {IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI)}
}

@article{
 title = {RecoLibry-core: A component-based framework for building recommender systems},
 type = {article},
 year = {2019},
 pages = {In Press},
 websites = {https://www.sciencedirect.com/science/article/pii/S0950705119303296},
 month = {7},
 publisher = {Elsevier},
 day = {25},
 id = {3b19fa96-50fd-3ffc-99ab-feccf08e9f73},
 created = {2019-08-20T10:49:41.602Z},
 accessed = {2019-08-20},
 file_attached = {false},
 profile_id = {9b41408a-6b73-3771-9777-d165eecfa568},
 group_id = {417c88cb-beff-360c-a95a-7fe124855ec9},
 last_modified = {2019-08-20T10:49:41.602Z},
 read = {false},
 starred = {true},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 abstract = {Recommendation systems are a key part of almost every modern consumer website. These systems include techniques to filter, explore and rank a huge amount of information based on users’ preferences or similar items. Designing and implementing a recommender system from scratch require skills of programming and recommending technologies. In this paper we describe RecoLibry-core, a framework to develop recommender systems based on the reuse of components provided by third-party frameworks.},
 bibtype = {article},
 author = {Jorro-Aragoneses, Jose L. and Recio-García, Juan A. and Díaz-Agudo, Belén and Jimenez-Diaz, Guillermo},
 doi = {10.1016/J.KNOSYS.2019.07.025},
 journal = {Knowledge-Based Systems}
}

@inproceedings{
 title = {An Algorithm Independent Case-Based Explanation Approach for Recommender Systems Using Interaction Graphs},
 type = {inproceedings},
 year = {2019},
 pages = {In Press},
 publisher = {Springer},
 id = {d200eddd-569a-37bd-bf24-86bb3fbabee8},
 created = {2019-08-21T07:14:20.952Z},
 file_attached = {false},
 profile_id = {9b41408a-6b73-3771-9777-d165eecfa568},
 group_id = {417c88cb-beff-360c-a95a-7fe124855ec9},
 last_modified = {2019-08-21T07:14:20.952Z},
 read = {false},
 starred = {true},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 bibtype = {inproceedings},
 author = {Caro-Martínez, Marta and Recio-García, Juan Antonio and Jimenez-Diaz, Guillermo},
 booktitle = {Case-Based Reasoning Research and Development - 27th International Conference, ICCBR 2019}
}\">\n            <i class=\"fa fa-download fa-fw\"></i> Download BibTeX\n          </a>\n        </li>\n        <li>\n          <a href=\"//bibbase.org/rss?bib=\">\n            <i class=\"fa fa-rss fa-fw\"></i> RSS Feed\n          </a>\n          </li>\n      </ul>\n      </li>\n\n      \n\n\n      \n    </ul>\n\n\n    <div class=\"alert alert-success bibbase_msg\" id=\"bibbase_msg_embed\"\n         style=\"display: none;\">\n\n      Excellent! Next you can\n      <a href=\"/network/register?next=/network/newSiteFromTemplate%3Fbiburl=\"\n      >create a new website with this list</a>, or\n      embed it in an existing web page by copying &amp; pasting\n      any of the following snippets.\n\n      <div style=\"text-align: left; margin-top: 1em;\">\n        <strong>JavaScript</strong>\n        <span class=\"comment recommended\">(easiest)</span>\n        <div class=\"well well-small\">\n          <code>\n            &lt;script src=\"https://bibbase.org/service/mendeley/9b41408a-6b73-3771-9777-d165eecfa568/group/417c88cb-beff-360c-a95a-7fe124855ec9?jsonp=1&amp;jsonp=1\"&gt;&lt;/script&gt;\n          </code>\n        </div>\n\n        <strong>PHP</strong>\n        <div class=\"well well-small\">\n          <code>\n            &lt;?php\n            $contents = file_get_contents(\"https://bibbase.org/service/mendeley/9b41408a-6b73-3771-9777-d165eecfa568/group/417c88cb-beff-360c-a95a-7fe124855ec9?jsonp=1\");\n            print_r($contents);\n            ?&gt;\n          </code>\n        </div>\n\n        <strong>iFrame</strong>\n        <span class=\"comment\">(not recommended)</span>\n        <div class=\"well well-small\">\n          <code>\n            &lt;iframe src=\"https://bibbase.org/service/mendeley/9b41408a-6b73-3771-9777-d165eecfa568/group/417c88cb-beff-360c-a95a-7fe124855ec9?jsonp=1\"&gt;&lt;/iframe&gt;\n          </code>\n        </div>\n\n        <p>\n          For more details see the <a href=\"//bibbase.org/help\">documention</a>.\n        </p>\n      </div>\n    </div>\n\n    <div class=\"alert alert-success bibbase_msg\" id=\"bibbase_msg_preview\"\n         style=\"display: none;\">\n\n      This is a preview! To use this list on your own web site\n      or create a new web site from it,\n      <a href=\"/network/register?next=/network/newAccountWithFile%3FfileId=\"\n      >create a free account</a>. The file will be added\n      and you will be able to edit it in the File Manager.\n      We will show you instructions once you've created your account.\n    </div>\n\n    <div class=\"alert alert-warning bibbase_msg\" id=\"bibbase_msg_mendeley1\"\n         style=\"display: none;\">\n\n      <p>To the site owner:</p>\n\n      <p><strong>Action required!</strong> Mendeley is changing its\n        API. In order to keep using Mendeley with BibBase past April\n        14th, you need to:\n        <ol>\n          <li>renew the authorization for BibBase on Mendeley, and</li>\n          <li>update the BibBase URL\n            in your page the same way you did when you initially set up\n            this page.\n          </li>\n        </ol>\n      </p>\n\n      <p>\n        <a href=\"http://bibbase.org/cgi-bin/mendeley2/get.py\">\n          <i class=\"fa fa-angle-double-right\"></i>\n          Fix it now</a>\n      </p>\n    </div>\n\n  </div>\n\n\n  <div id=\"bibbase_body\">\n    \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        (2)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"jorroaragoneses-reciogarca-dazagudo-jimenezdiaz-recolibrycoreacomponentbasedframeworkforbuildingrecommendersystems-2019\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.sciencedirect.com/science/article/pii/S0950705119303296\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'jorroaragoneses-reciogarca-dazagudo-jimenezdiaz-recolibrycoreacomponentbasedframeworkforbuildingrecommendersystems-2019', 'https://www.sciencedirect.com/science/article/pii/S0950705119303296', event);\">\n    RecoLibry-core: A component-based framework for building recommender systems.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Jorro-Aragoneses,  J., L.; Recio-García,  J., A.; Díaz-Agudo,  B.;  and <a class=\"bibbase author link\" href=\"https://gaia.fdi.ucm.es/people/guille/pubs.php\">Jimenez-Diaz,  G.</a>\n</span>\n\n  \n\n</span>\n\n  <i>Knowledge-Based Systems</i>,In Press. 7 2019.\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/S0950705119303296\"\n     onclick=\"log_download('jorroaragoneses-reciogarca-dazagudo-jimenezdiaz-recolibrycoreacomponentbasedframeworkforbuildingrecommendersystems-2019', 'https://www.sciencedirect.com/science/article/pii/S0950705119303296', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"RecoLibry-core: A component-based framework for building recommender systems [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1016/J.KNOSYS.2019.07.025\"\n     onclick=\"log_download('jorroaragoneses-reciogarca-dazagudo-jimenezdiaz-recolibrycoreacomponentbasedframeworkforbuildingrecommendersystems-2019', 'http://doi.org/10.1016/J.KNOSYS.2019.07.025', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/jorroaragoneses-reciogarca-dazagudo-jimenezdiaz-recolibrycoreacomponentbasedframeworkforbuildingrecommendersystems-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  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>16 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('jorroaragoneses-reciogarca-dazagudo-jimenezdiaz-recolibrycoreacomponentbasedframeworkforbuildingrecommendersystems-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</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {RecoLibry-core: A component-based framework for building recommender systems},\n type = {article},\n year = {2019},\n pages = {In Press},\n websites = {https://www.sciencedirect.com/science/article/pii/S0950705119303296},\n month = {7},\n publisher = {Elsevier},\n day = {25},\n id = {3b19fa96-50fd-3ffc-99ab-feccf08e9f73},\n created = {2019-08-20T10:49:41.602Z},\n accessed = {2019-08-20},\n file_attached = {false},\n profile_id = {9b41408a-6b73-3771-9777-d165eecfa568},\n group_id = {417c88cb-beff-360c-a95a-7fe124855ec9},\n last_modified = {2019-08-20T10:49:41.602Z},\n read = {false},\n starred = {true},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {Recommendation systems are a key part of almost every modern consumer website. These systems include techniques to filter, explore and rank a huge amount of information based on users’ preferences or similar items. Designing and implementing a recommender system from scratch require skills of programming and recommending technologies. In this paper we describe RecoLibry-core, a framework to develop recommender systems based on the reuse of components provided by third-party frameworks.},\n bibtype = {article},\n author = {Jorro-Aragoneses, Jose L. and Recio-García, Juan A. and Díaz-Agudo, Belén and Jimenez-Diaz, Guillermo},\n doi = {10.1016/J.KNOSYS.2019.07.025},\n journal = {Knowledge-Based Systems}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Recommendation systems are a key part of almost every modern consumer website. These systems include techniques to filter, explore and rank a huge amount of information based on users’ preferences or similar items. Designing and implementing a recommender system from scratch require skills of programming and recommending technologies. In this paper we describe RecoLibry-core, a framework to develop recommender systems based on the reuse of components provided by third-party frameworks.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"caromartnez-reciogarca-jimenezdiaz-analgorithmindependentcasebasedexplanationapproachforrecommendersystemsusinginteractiongraphs-2019\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  An Algorithm Independent Case-Based Explanation Approach for Recommender Systems Using Interaction Graphs.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Caro-Martínez,  M.; Recio-García,  J., A.;  and Jimenez-Diaz,  G.\n</span>\n\n  \n\n</span>\n\n  In <i>Case-Based Reasoning Research and Development - 27th International Conference, ICCBR 2019</i>, pages In Press,  2019. Springer\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\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/caromartnez-reciogarca-jimenezdiaz-analgorithmindependentcasebasedexplanationapproachforrecommendersystemsusinginteractiongraphs-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('caromartnez-reciogarca-jimenezdiaz-analgorithmindependentcasebasedexplanationapproachforrecommendersystemsusinginteractiongraphs-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</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{\n title = {An Algorithm Independent Case-Based Explanation Approach for Recommender Systems Using Interaction Graphs},\n type = {inproceedings},\n year = {2019},\n pages = {In Press},\n publisher = {Springer},\n id = {d200eddd-569a-37bd-bf24-86bb3fbabee8},\n created = {2019-08-21T07:14:20.952Z},\n file_attached = {false},\n profile_id = {9b41408a-6b73-3771-9777-d165eecfa568},\n group_id = {417c88cb-beff-360c-a95a-7fe124855ec9},\n last_modified = {2019-08-21T07:14:20.952Z},\n read = {false},\n starred = {true},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Caro-Martínez, Marta and Recio-García, Juan Antonio and Jimenez-Diaz, Guillermo},\n booktitle = {Case-Based Reasoning Research and Development - 27th International Conference, ICCBR 2019}\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        (3)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"jimenezdiaz-serrano-arroyo-awikiacensusmotivestoolsandinsights-2018\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://dl.acm.org/citation.cfm?doid=3233391.3233526\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'jimenezdiaz-serrano-arroyo-awikiacensusmotivestoolsandinsights-2018', 'http://dl.acm.org/citation.cfm?doid=3233391.3233526', event);\">\n    A Wikia census: motives, tools and insights.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://gaia.fdi.ucm.es/people/guille/pubs.php\">Jimenez-Diaz,  G.</a>; Serrano,  A.;  and Arroyo,  J.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 14th International Symposium on Open Collaboration - OpenSym '18</i>, pages 2:1--2:6,  2018. ACM Press\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://dl.acm.org/citation.cfm?doid=3233391.3233526\"\n     onclick=\"log_download('jimenezdiaz-serrano-arroyo-awikiacensusmotivestoolsandinsights-2018', 'http://dl.acm.org/citation.cfm?doid=3233391.3233526', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"A Wikia census: motives, tools and insights [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1145/3233391.3233526\"\n     onclick=\"log_download('jimenezdiaz-serrano-arroyo-awikiacensusmotivestoolsandinsights-2018', 'http://doi.org/10.1145/3233391.3233526', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/jimenezdiaz-serrano-arroyo-awikiacensusmotivestoolsandinsights-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\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>12 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('jimenezdiaz-serrano-arroyo-awikiacensusmotivestoolsandinsights-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  \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{\n title = {A Wikia census: motives, tools and insights},\n type = {inproceedings},\n year = {2018},\n keywords = {Knowledge P2P production,Wikia,census,collaborative work,online communities,wikis,wikisphere},\n pages = {2:1--2:6},\n websites = {http://dl.acm.org/citation.cfm?doid=3233391.3233526},\n publisher = {ACM Press},\n city = {Paris, France},\n id = {25703a0e-cbf0-396a-a041-b3bd27a7326f},\n created = {2018-09-30T10:26:31.579Z},\n accessed = {2018-08-29},\n file_attached = {false},\n profile_id = {9b41408a-6b73-3771-9777-d165eecfa568},\n group_id = {417c88cb-beff-360c-a95a-7fe124855ec9},\n last_modified = {2018-09-30T10:26:31.579Z},\n read = {false},\n starred = {true},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Jimenez-Diaz, Guillermo and Serrano, Abel and Arroyo, Javier},\n doi = {10.1145/3233391.3233526},\n booktitle = {Proceedings of the 14th International Symposium on Open Collaboration - OpenSym &#x27;18}\n}</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"jorroaragoneses-jimenezdaz-reciogarca-dazagudo-casebaseelicitationforacontextawarerecommendersystem-2018\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://link.springer.com/10.1007/978-3-030-01081-2_12\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'jorroaragoneses-jimenezdaz-reciogarca-dazagudo-casebaseelicitationforacontextawarerecommendersystem-2018', 'http://link.springer.com/10.1007/978-3-030-01081-2_12', event);\">\n    Case Base Elicitation for a Context-Aware Recommender System.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://gaia.fdi.ucm.es/research/xai-graph/\">Jorro-Aragoneses,  J., L.</a>; Jimenez-Díaz,  G.; Recio-García,  J., A.;  and Díaz-Agudo,  B.\n</span>\n\n  \n\n</span>\n\n  In <i>Case-Based Reasoning Research and Development - 26th International Conference, ICCBR 2018</i>, volume 11156 LNAI, pages 170-185, 7 2018. Springer\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://link.springer.com/10.1007/978-3-030-01081-2_12\"\n     onclick=\"log_download('jorroaragoneses-jimenezdaz-reciogarca-dazagudo-casebaseelicitationforacontextawarerecommendersystem-2018', 'http://link.springer.com/10.1007/978-3-030-01081-2_12', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Case Base Elicitation for a Context-Aware Recommender System [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1007/978-3-030-01081-2_12\"\n     onclick=\"log_download('jorroaragoneses-jimenezdaz-reciogarca-dazagudo-casebaseelicitationforacontextawarerecommendersystem-2018', 'http://doi.org/10.1007/978-3-030-01081-2_12', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/jorroaragoneses-jimenezdaz-reciogarca-dazagudo-casebaseelicitationforacontextawarerecommendersystem-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  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>13 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('jorroaragoneses-jimenezdaz-reciogarca-dazagudo-casebaseelicitationforacontextawarerecommendersystem-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{\n title = {Case Base Elicitation for a Context-Aware Recommender System},\n type = {inproceedings},\n year = {2018},\n keywords = {Case-based reasoning,Cold start,Context-aware recommender system,Knowledge acquisition},\n pages = {170-185},\n volume = {11156 LNAI},\n websites = {http://link.springer.com/10.1007/978-3-030-01081-2_12},\n month = {7},\n publisher = {Springer},\n day = {9},\n id = {5952e01c-0d3b-3f3e-8c56-e7febf22cf77},\n created = {2019-02-12T17:15:03.947Z},\n accessed = {2019-02-12},\n file_attached = {false},\n profile_id = {9b41408a-6b73-3771-9777-d165eecfa568},\n group_id = {417c88cb-beff-360c-a95a-7fe124855ec9},\n last_modified = {2019-02-12T17:47:41.650Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {BACKGROUND In this study, the serum B-cell activating factor belonging to tumor necrosis factor family (BAFF) levels in patients with myeloperoxidase (MPO)-antineutrophil cytoplasmic antibodies (ANCA)-associated vasculitis (AAV) were measured, and their clinical significance was further analyzed. METHODS One hundred twenty-one patients with MPO-AAV were enrolled in this study. Eighty-three patients had active vasculitis and 38 were in remission. Fifty-five healthy individuals were used as healthy controls. The levels of serum BAFF were assessed using commercial available enzyme-linked immunosorbent assay kits. The correlations between serum BAFF and Birmingham Vasculitis Activity Score, erythrocyte sedimentation rate and MPO-ANCA were further evaluated. RESULTS The levels of serum BAFF of patients with MPO-AAV in both active (6.06±5.02 ng/mL) and remission phases (3.60±3.83 ng/mL) were significantly higher than those in healthy controls (0.87±0.31 ng/mL) (P&lt;0.001, respectively). The serum BAFF levels in patients with active vasculitis were significantly higher than those in remission (P&lt;0.001). Serum BAFF levels were significantly correlated with Birmingham Vasculitis Activity Score (r=0.320, P&lt;0.001) and erythrocyte sedimentation rate value (r=0.311, P&lt;0.01) in all patients, but no correlation was found between the levels of serum BAFF and MPO-ANCA. Using receiver-operating characteristics statistics, the cutoff values of serum BAFF level for indicating the presence of MPO-AAV and active vasculitis were 1.58 and 4.20 ng/mL, respectively. CONCLUSIONS The levels of serum BAFF were elevated in patients with MPO-AAV and associated with disease activity, but they were not related with the levels of MPO-ANCA.},\n bibtype = {inproceedings},\n author = {Jorro-Aragoneses, Jose Luis and Jimenez-Díaz, Guillermo and Recio-García, Juan Antonio and Díaz-Agudo, Belén},\n doi = {10.1007/978-3-030-01081-2_12},\n booktitle = {Case-Based Reasoning Research and Development - 26th International Conference, ICCBR 2018}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  BACKGROUND In this study, the serum B-cell activating factor belonging to tumor necrosis factor family (BAFF) levels in patients with myeloperoxidase (MPO)-antineutrophil cytoplasmic antibodies (ANCA)-associated vasculitis (AAV) were measured, and their clinical significance was further analyzed. METHODS One hundred twenty-one patients with MPO-AAV were enrolled in this study. Eighty-three patients had active vasculitis and 38 were in remission. Fifty-five healthy individuals were used as healthy controls. The levels of serum BAFF were assessed using commercial available enzyme-linked immunosorbent assay kits. The correlations between serum BAFF and Birmingham Vasculitis Activity Score, erythrocyte sedimentation rate and MPO-ANCA were further evaluated. RESULTS The levels of serum BAFF of patients with MPO-AAV in both active (6.06±5.02 ng/mL) and remission phases (3.60±3.83 ng/mL) were significantly higher than those in healthy controls (0.87±0.31 ng/mL) (P<0.001, respectively). The serum BAFF levels in patients with active vasculitis were significantly higher than those in remission (P<0.001). Serum BAFF levels were significantly correlated with Birmingham Vasculitis Activity Score (r=0.320, P<0.001) and erythrocyte sedimentation rate value (r=0.311, P<0.01) in all patients, but no correlation was found between the levels of serum BAFF and MPO-ANCA. Using receiver-operating characteristics statistics, the cutoff values of serum BAFF level for indicating the presence of MPO-AAV and active vasculitis were 1.58 and 4.20 ng/mL, respectively. CONCLUSIONS The levels of serum BAFF were elevated in patients with MPO-AAV and associated with disease activity, but they were not related with the levels of MPO-ANCA.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"diazagudo-jimenezdiaz-reciogarcia-socialfanintegratingsocialnetworksintorecommendersystems-2018\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://ieeexplore.ieee.org/document/8576033/\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'diazagudo-jimenezdiaz-reciogarcia-socialfanintegratingsocialnetworksintorecommendersystems-2018', 'https://ieeexplore.ieee.org/document/8576033/', event);\">\n    SocialFan: Integrating Social Networks Into Recommender Systems.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Diaz-Agudo,  B.; Jimenez-Diaz,  G.;  and Recio-Garcia,  J., A.\n</span>\n\n  \n\n</span>\n\n  In <i>IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI)</i>, pages 171-176, 11 2018. IEEE\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/8576033/\"\n     onclick=\"log_download('diazagudo-jimenezdiaz-reciogarcia-socialfanintegratingsocialnetworksintorecommendersystems-2018', 'https://ieeexplore.ieee.org/document/8576033/', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"SocialFan: Integrating Social Networks Into Recommender Systems [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1109/ICTAI.2018.00035\"\n     onclick=\"log_download('diazagudo-jimenezdiaz-reciogarcia-socialfanintegratingsocialnetworksintorecommendersystems-2018', 'http://doi.org/10.1109/ICTAI.2018.00035', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/diazagudo-jimenezdiaz-reciogarcia-socialfanintegratingsocialnetworksintorecommendersystems-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\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>9 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('diazagudo-jimenezdiaz-reciogarcia-socialfanintegratingsocialnetworksintorecommendersystems-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</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{\n title = {SocialFan: Integrating Social Networks Into Recommender Systems},\n type = {inproceedings},\n year = {2018},\n pages = {171-176},\n websites = {https://ieeexplore.ieee.org/document/8576033/},\n month = {11},\n publisher = {IEEE},\n id = {a9d13a16-8b5f-30a6-b5d2-f8711292b4f4},\n created = {2019-02-12T17:48:20.516Z},\n accessed = {2019-02-12},\n file_attached = {false},\n profile_id = {9b41408a-6b73-3771-9777-d165eecfa568},\n group_id = {417c88cb-beff-360c-a95a-7fe124855ec9},\n last_modified = {2019-02-12T17:48:20.599Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Diaz-Agudo, Belen and Jimenez-Diaz, Guillermo and Recio-Garcia, Juan A.},\n doi = {10.1109/ICTAI.2018.00035},\n booktitle = {IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI)}\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_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        (3)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"snchezruiz-jimenezdiaz-gmezmartn-gmezmartn-casebasedrecommendationforonlinejudgesusinglearningitineraries-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Case-based recommendation for online judges using learning itineraries.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Sánchez-Ruiz,  A.; <a class=\"bibbase author link\" href=\"https://gaia.fdi.ucm.es/people/guille/pubs.php\">Jimenez-Diaz,  G.</a>; Gómez-Martín,  P.;  and Gómez-Martín,  M.\n</span>\n\n  \n\n</span>\n\n  Volume 10339 LNAI  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\n  \n  <a href=\"http://doi.org/10.1007/978-3-319-61030-6_22\"\n     onclick=\"log_download('snchezruiz-jimenezdiaz-gmezmartn-gmezmartn-casebasedrecommendationforonlinejudgesusinglearningitineraries-2017', 'http://doi.org/10.1007/978-3-319-61030-6_22', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/snchezruiz-jimenezdiaz-gmezmartn-gmezmartn-casebasedrecommendationforonlinejudgesusinglearningitineraries-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  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>5 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('snchezruiz-jimenezdiaz-gmezmartn-gmezmartn-casebasedrecommendationforonlinejudgesusinglearningitineraries-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;\">@book{\n title = {Case-based recommendation for online judges using learning itineraries},\n type = {book},\n year = {2017},\n source = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},\n volume = {10339 LNAI},\n id = {948509d6-ffae-3426-8965-ddee69705dcc},\n created = {2018-02-26T11:10:15.577Z},\n file_attached = {false},\n profile_id = {9b41408a-6b73-3771-9777-d165eecfa568},\n group_id = {417c88cb-beff-360c-a95a-7fe124855ec9},\n last_modified = {2018-02-26T11:10:15.577Z},\n read = {false},\n starred = {true},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n private_publication = {false},\n abstract = {© Springer International Publishing AG 2017. Online judges are online repositories with hundreds or thousands of programming exercises or problems. They are very interesting tools for learning programming concepts, but novice users tend to feel overwhelmed by the large number of problems available. Traditional recommendation techniques based on content or collaborative filtering do not work well in these systems due to the lack of user ratings or semantic descriptions of the problems. In this work, we propose a recommendation approach based on learning itineraries, i.e., the sequences of problems that the users tried to solve. Our experiments reveal that interesting learning paths can emerge from previous user experiences and we can use those learning paths to recommend interesting problems to new users. We also show that the recommendation can be improved if we consider not only the problems but also the order in which they were solved.},\n bibtype = {book},\n author = {Sánchez-Ruiz, A.A. and Jimenez-Diaz, G. and Gómez-Martín, P.P. and Gómez-Martín, M.A.},\n doi = {10.1007/978-3-319-61030-6_22}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  © Springer International Publishing AG 2017. Online judges are online repositories with hundreds or thousands of programming exercises or problems. They are very interesting tools for learning programming concepts, but novice users tend to feel overwhelmed by the large number of problems available. Traditional recommendation techniques based on content or collaborative filtering do not work well in these systems due to the lack of user ratings or semantic descriptions of the problems. In this work, we propose a recommendation approach based on learning itineraries, i.e., the sequences of problems that the users tried to solve. Our experiments reveal that interesting learning paths can emerge from previous user experiences and we can use those learning paths to recommend interesting problems to new users. We also show that the recommendation can be improved if we consider not only the problems but also the order in which they were solved.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"jimenezdiaz-gmezmartn-gmezmartn-snchezruiz-similaritymetricsfromsocialnetworkanalysisforcontentrecommendersystems-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Similarity metrics from social network analysis for content recommender systems.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://gaia.fdi.ucm.es/people/guille/pubs.php\">Jimenez-Diaz,  G.</a>; Gómez-Martín,  P.; Gómez-Martín,  M.;  and Sánchez-Ruiz,  A.\n</span>\n\n  \n\n</span>\n\n  <i>AI Communications</i>, 30(3-4).  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\n  \n  <a href=\"http://doi.org/10.3233/AIC-170732\"\n     onclick=\"log_download('jimenezdiaz-gmezmartn-gmezmartn-snchezruiz-similaritymetricsfromsocialnetworkanalysisforcontentrecommendersystems-2017', 'http://doi.org/10.3233/AIC-170732', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/jimenezdiaz-gmezmartn-gmezmartn-snchezruiz-similaritymetricsfromsocialnetworkanalysisforcontentrecommendersystems-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('jimenezdiaz-gmezmartn-gmezmartn-snchezruiz-similaritymetricsfromsocialnetworkanalysisforcontentrecommendersystems-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</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Similarity metrics from social network analysis for content recommender systems},\n type = {article},\n year = {2017},\n keywords = {Online judges,link prediction,recommender systems,similarity metrics,social network analysis},\n volume = {30},\n id = {9f220bfd-e945-3d76-8bf3-7b3eb674f49a},\n created = {2018-02-26T11:10:15.940Z},\n file_attached = {false},\n profile_id = {9b41408a-6b73-3771-9777-d165eecfa568},\n group_id = {417c88cb-beff-360c-a95a-7fe124855ec9},\n last_modified = {2018-02-26T11:10:15.940Z},\n read = {false},\n starred = {true},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n private_publication = {false},\n abstract = {© 2017 - IOS Press and the authors. All rights reserved. Online judges are online systems that test solutions in programming contests and practice sessions. They tend to become large live repositories of problems, with hundreds, or even thousands, of problems. This wide problem statement availability becomes a challenge for new users who want to choose the next problem to solve depending on their knowledge. This is due to the fact that online judges usually lack meta information about the problems and the users do not express their own preferences either. Nevertheless, online judges collect a rich information about which problems have been attempted, and solved, by which users. In this paper, we consider all this information as a social network, and use social network analysis techniques for creating similarity metrics between problems that can be then used for recommendation.},\n bibtype = {article},\n author = {Jimenez-Diaz, G. and Gómez-Martín, P.P. and Gómez-Martín, M.A. and Sánchez-Ruiz, A.A.},\n doi = {10.3233/AIC-170732},\n journal = {AI Communications},\n number = {3-4}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  © 2017 - IOS Press and the authors. All rights reserved. Online judges are online systems that test solutions in programming contests and practice sessions. They tend to become large live repositories of problems, with hundreds, or even thousands, of problems. This wide problem statement availability becomes a challenge for new users who want to choose the next problem to solve depending on their knowledge. This is due to the fact that online judges usually lack meta information about the problems and the users do not express their own preferences either. Nevertheless, online judges collect a rich information about which problems have been attempted, and solved, by which users. In this paper, we consider all this information as a social network, and use social network analysis techniques for creating similarity metrics between problems that can be then used for recommendation.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"caromartinez-jimenezdiaz-similarusersorsimilaritemscomparingsimilaritybasedapproachesforrecommendersystemsinonlinejudges-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Similar users or similar items? Comparing similarity-based approaches for recommender systems in online judges.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Caro-Martinez,  M.;  and Jimenez-Diaz,  G.\n</span>\n\n  \n\n</span>\n\n  Volume 10339 LNAI  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\n  \n  <a href=\"http://doi.org/10.1007/978-3-319-61030-6_7\"\n     onclick=\"log_download('caromartinez-jimenezdiaz-similarusersorsimilaritemscomparingsimilaritybasedapproachesforrecommendersystemsinonlinejudges-2017', 'http://doi.org/10.1007/978-3-319-61030-6_7', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/caromartinez-jimenezdiaz-similarusersorsimilaritemscomparingsimilaritybasedapproachesforrecommendersystemsinonlinejudges-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('caromartinez-jimenezdiaz-similarusersorsimilaritemscomparingsimilaritybasedapproachesforrecommendersystemsinonlinejudges-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;\">@book{\n title = {Similar users or similar items? Comparing similarity-based approaches for recommender systems in online judges},\n type = {book},\n year = {2017},\n source = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},\n volume = {10339 LNAI},\n id = {69c36b6e-2e77-3abe-90cd-8d944e3438cc},\n created = {2018-02-26T11:10:16.038Z},\n file_attached = {false},\n profile_id = {9b41408a-6b73-3771-9777-d165eecfa568},\n group_id = {417c88cb-beff-360c-a95a-7fe124855ec9},\n last_modified = {2018-02-26T11:10:16.038Z},\n read = {false},\n starred = {true},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n private_publication = {false},\n abstract = {© Springer International Publishing AG 2017. Online judges store hundreds of programming problems but they lack recommendation tools to help users to find relevant problems to solve. In this paper, we extend the exploration of the use of the implicit knowledge derived from the relationships created between users and problems when the users submit their solutions to the online judge. Inspired by collaborative filtering techniques, in this work we compare a user-based and a problem-based approach, both supported by node similarity metrics coming from social network analysis, and we study the inclusion of voting systems in order to rank the problems that best fit for a user in the online judge. Our experiments reveal that the selection of the highest-performing similarity metric is determined by the recommendation method. We also show that the user-based approach outperforms the problem-based approach only when the proposed voting systems are used.},\n bibtype = {book},\n author = {Caro-Martinez, M. and Jimenez-Diaz, G.},\n doi = {10.1007/978-3-319-61030-6_7}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  © Springer International Publishing AG 2017. Online judges store hundreds of programming problems but they lack recommendation tools to help users to find relevant problems to solve. In this paper, we extend the exploration of the use of the implicit knowledge derived from the relationships created between users and problems when the users submit their solutions to the online judge. Inspired by collaborative filtering techniques, in this work we compare a user-based and a problem-based approach, both supported by node similarity metrics coming from social network analysis, and we study the inclusion of voting systems in order to rank the problems that best fit for a user in the online judge. Our experiments reveal that the selection of the highest-performing similarity metric is determined by the recommendation method. We also show that the user-based approach outperforms the problem-based approach only when the proposed voting systems are used.\n</div>\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2013\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2013')\"\n      onkeypress=\"toggleGroup('group_2013')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2013</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=\"quijanosanchez-reciogarcia-diazagudo-jimenezdiaz-socialfactorsingrouprecommendersystems-2013\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Social factors in group recommender systems.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Quijano-Sanchez,  L.; Recio-Garcia,  J.; Diaz-Agudo,  B.;  and <a class=\"bibbase author link\" href=\"https://gaia.fdi.ucm.es/people/guille/pubs.php\">Jimenez-Diaz,  G.</a>\n</span>\n\n  \n\n</span>\n\n  <i>ACM Transactions on Intelligent Systems and Technology</i>, 4(1).  2013.\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\n  \n  <a href=\"http://doi.org/10.1145/2414425.2414433\"\n     onclick=\"log_download('quijanosanchez-reciogarcia-diazagudo-jimenezdiaz-socialfactorsingrouprecommendersystems-2013', 'http://doi.org/10.1145/2414425.2414433', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/quijanosanchez-reciogarcia-diazagudo-jimenezdiaz-socialfactorsingrouprecommendersystems-2013\"\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('quijanosanchez-reciogarcia-diazagudo-jimenezdiaz-socialfactorsingrouprecommendersystems-2013')\" -->\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;\">@article{\n title = {Social factors in group recommender systems},\n type = {article},\n year = {2013},\n keywords = {Memory,Personality,Recommender systems,Social networks,Trust},\n volume = {4},\n id = {eb0aecad-c115-37b4-b5b7-9f5d39879fb2},\n created = {2018-02-26T11:10:16.015Z},\n file_attached = {false},\n profile_id = {9b41408a-6b73-3771-9777-d165eecfa568},\n group_id = {417c88cb-beff-360c-a95a-7fe124855ec9},\n last_modified = {2018-02-26T11:10:16.015Z},\n read = {false},\n starred = {true},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n private_publication = {false},\n abstract = {In this article we review the existing techniques in group recommender systems and we propose some improvement based on the study of the different individual behaviors when carrying out a decision-making process. Our method includes an analysis of group personality composition and trust between each group member to improve the accuracy of group recommenders. This way we simulate the argumentation process followed by groups of people when agreeing on a common activity in a more realistic way. Moreover, we reflect how they expect the system to behave in a long term recommendation process. This is achieved by including a memory of past recommendations that increases the satisfaction of users whose preferences have not been taken into account in previous recommendations. © 2013 ACM.},\n bibtype = {article},\n author = {Quijano-Sanchez, L. and Recio-Garcia, J.A. and Diaz-Agudo, B. and Jimenez-Diaz, G.},\n doi = {10.1145/2414425.2414433},\n journal = {ACM Transactions on Intelligent Systems and Technology},\n number = {1}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  In this article we review the existing techniques in group recommender systems and we propose some improvement based on the study of the different individual behaviors when carrying out a decision-making process. Our method includes an analysis of group personality composition and trust between each group member to improve the accuracy of group recommenders. This way we simulate the argumentation process followed by groups of people when agreeing on a common activity in a more realistic way. Moreover, we reflect how they expect the system to behave in a long term recommendation process. This is achieved by including a memory of past recommendations that increases the satisfaction of users whose preferences have not been taken into account in previous recommendations. © 2013 ACM.\n</div>\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2012\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2012')\"\n      onkeypress=\"toggleGroup('group_2012')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2012</span>\n      <span class=\"bibbase_group_count\">\n        \n        (3)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"ruiziniesta-jimnezdaz-gmezalbarrn-aframeworkfortherapidprototypingofknowledgebasedrecommendersystemsinthelearningdomain-2012\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  A framework for the rapid prototyping of knowledge-based recommender systems in the learning domain.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Ruiz-Iniesta,  A.; Jiménez-Díaz,  G.;  and Gómez-Albarrán,  M.\n</span>\n\n  \n\n</span>\n\n  <i>Journal of Research and Practice in Information Technology</i>, 44(2): 167-181.  2012.\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\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ruiziniesta-jimnezdaz-gmezalbarrn-aframeworkfortherapidprototypingofknowledgebasedrecommendersystemsinthelearningdomain-2012\"\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('ruiziniesta-jimnezdaz-gmezalbarrn-aframeworkfortherapidprototypingofknowledgebasedrecommendersystemsinthelearningdomain-2012')\" -->\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{\n title = {A framework for the rapid prototyping of knowledge-based recommender systems in the learning domain},\n type = {article},\n year = {2012},\n keywords = {Frameworks,Learning objects,Recommender systems},\n pages = {167-181},\n volume = {44},\n id = {d1b9172a-23e5-3672-93da-a1669d10ed5d},\n created = {2018-02-26T11:10:15.874Z},\n file_attached = {false},\n profile_id = {9b41408a-6b73-3771-9777-d165eecfa568},\n group_id = {417c88cb-beff-360c-a95a-7fe124855ec9},\n last_modified = {2018-02-26T11:10:15.874Z},\n read = {false},\n starred = {true},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n private_publication = {false},\n abstract = {In this paper we present a framework for the rapid prototyping of knowledge-based recommender systems applied to learning object recommendation. With a recommendation scheme of five stages as starting point, the framework can be configured and adapted to build different recommenders. The framework not only provides default implementations of alternative strategies for each stage, but can easily be extended with new implementations. Finally, we exemplify the use of the framework by implementing two different recommenders. Copyright © 2012, Australian Computer Society Inc.},\n bibtype = {article},\n author = {Ruiz-Iniesta, A. and Jiménez-Díaz, G. and Gómez-Albarrán, M.},\n journal = {Journal of Research and Practice in Information Technology},\n number = {2}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  In this paper we present a framework for the rapid prototyping of knowledge-based recommender systems applied to learning object recommendation. With a recommendation scheme of five stages as starting point, the framework can be configured and adapted to build different recommenders. The framework not only provides default implementations of alternative strategies for each stage, but can easily be extended with new implementations. Finally, we exemplify the use of the framework by implementing two different recommenders. Copyright © 2012, Australian Computer Society Inc.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"ruiziniesta-jimnezdaz-gmezalbarrn-aframeworkfortherapidprototypingofknowledgebasedrecommendersystemsinthelearningdomain-2012\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  A framework for the rapid prototyping of knowledge-based recommender systems in the learning domain.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Ruiz-Iniesta,  A.; Jiménez-Díaz,  G.;  and Gómez-Albarrán,  M.\n</span>\n\n  \n\n</span>\n\n  <i>Journal of Research and Practice in Information Technology</i>, 44(2): 167-181.  2012.\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\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ruiziniesta-jimnezdaz-gmezalbarrn-aframeworkfortherapidprototypingofknowledgebasedrecommendersystemsinthelearningdomain-2012\"\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('ruiziniesta-jimnezdaz-gmezalbarrn-aframeworkfortherapidprototypingofknowledgebasedrecommendersystemsinthelearningdomain-2012')\" -->\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{\n title = {A framework for the rapid prototyping of knowledge-based recommender systems in the learning domain},\n type = {article},\n year = {2012},\n keywords = {Frameworks,Learning objects,Recommender systems},\n pages = {167-181},\n volume = {44},\n id = {bcfd6f2e-a627-3cd5-a51c-8f82dde0e68c},\n created = {2018-02-26T11:10:15.965Z},\n file_attached = {false},\n profile_id = {9b41408a-6b73-3771-9777-d165eecfa568},\n group_id = {417c88cb-beff-360c-a95a-7fe124855ec9},\n last_modified = {2018-02-26T11:10:15.965Z},\n read = {false},\n starred = {true},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n private_publication = {false},\n abstract = {In this paper we present a framework for the rapid prototyping of knowledge-based recommender systems applied to learning object recommendation. With a recommendation scheme of five stages as starting point, the framework can be configured and adapted to build different recommenders. The framework not only provides default implementations of alternative strategies for each stage, but can easily be extended with new implementations. Finally, we exemplify the use of the framework by implementing two different recommenders. Copyright © 2012, Australian Computer Society Inc.},\n bibtype = {article},\n author = {Ruiz-Iniesta, A. and Jiménez-Díaz, G. and Gómez-Albarrán, M.},\n journal = {Journal of Research and Practice in Information Technology},\n number = {2}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  In this paper we present a framework for the rapid prototyping of knowledge-based recommender systems applied to learning object recommendation. With a recommendation scheme of five stages as starting point, the framework can be configured and adapted to build different recommenders. The framework not only provides default implementations of alternative strategies for each stage, but can easily be extended with new implementations. Finally, we exemplify the use of the framework by implementing two different recommenders. Copyright © 2012, Australian Computer Society Inc.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"ruiziniesta-jimnezdaz-gmezalbarrn-ahybridusercentredrecommendationstrategyappliedtorepositoriesoflearningobjects-2012\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  A hybrid user-centred recommendation strategy applied to repositories of learning objects.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Ruiz-Iniesta,  A.; Jiménez-Díaz,  G.;  and Gómez-Albarrán,  M.\n</span>\n\n  \n\n</span>\n\n  <i>International Journal of Web Based Communities</i>, 8(3): 302-321.  2012.\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\n  \n  <a href=\"http://doi.org/10.1504/IJWBC.2012.048054\"\n     onclick=\"log_download('ruiziniesta-jimnezdaz-gmezalbarrn-ahybridusercentredrecommendationstrategyappliedtorepositoriesoflearningobjects-2012', 'http://doi.org/10.1504/IJWBC.2012.048054', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ruiziniesta-jimnezdaz-gmezalbarrn-ahybridusercentredrecommendationstrategyappliedtorepositoriesoflearningobjects-2012\"\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('ruiziniesta-jimnezdaz-gmezalbarrn-ahybridusercentredrecommendationstrategyappliedtorepositoriesoflearningobjects-2012')\" -->\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;\">@article{\n title = {A hybrid user-centred recommendation strategy applied to repositories of learning objects},\n type = {article},\n year = {2012},\n keywords = {Hybrid recommender,Learning object,Personalisation,VLC,Virtual learning communities},\n pages = {302-321},\n volume = {8},\n id = {f5dee595-98f3-303d-b78b-bbba4be714bd},\n created = {2018-02-26T11:10:16.051Z},\n file_attached = {false},\n profile_id = {9b41408a-6b73-3771-9777-d165eecfa568},\n group_id = {417c88cb-beff-360c-a95a-7fe124855ec9},\n last_modified = {2018-02-26T11:10:16.051Z},\n read = {false},\n starred = {true},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n private_publication = {false},\n abstract = {This article describes the guidelines followed in the design of a framework for managing learning object repositories that can be applied to different domains. The main features of the framework are the engagement of the virtual learning community in authoring and maintenance tasks, along with the use of recommender system technology in order to provide personalised searching and retrieval features. This article mainly focuses on the recommendation tasks, which help to identify suitable resources for the students in the virtual learning community. The recommendation approach follows a cascade hybrid strategy that refines the decisions of a case-based recommender by using a collaborative one. The former provides resources that fit the current student profile and promote her learning process. The later includes in the retrieval process the opinion about the usefulness of the resources provided by other members of the virtual learning community. Copyright © 2012 Inderscience Enterprises Ltd.},\n bibtype = {article},\n author = {Ruiz-Iniesta, A. and Jiménez-Díaz, G. and Gómez-Albarrán, M.},\n doi = {10.1504/IJWBC.2012.048054},\n journal = {International Journal of Web Based Communities},\n number = {3}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  This article describes the guidelines followed in the design of a framework for managing learning object repositories that can be applied to different domains. The main features of the framework are the engagement of the virtual learning community in authoring and maintenance tasks, along with the use of recommender system technology in order to provide personalised searching and retrieval features. This article mainly focuses on the recommendation tasks, which help to identify suitable resources for the students in the virtual learning community. The recommendation approach follows a cascade hybrid strategy that refines the decisions of a case-based recommender by using a collaborative one. The former provides resources that fit the current student profile and promote her learning process. The later includes in the retrieval process the opinion about the usefulness of the resources provided by other members of the virtual learning community. Copyright © 2012 Inderscience Enterprises Ltd.\n</div>\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2009\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2009')\"\n      onkeypress=\"toggleGroup('group_2009')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2009</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=\"reciogarcia-jimenezdiaz-sanchezruiz-diazagudo-personalityawarerecommendationstogroups-2009\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Personality aware recommendations to groups.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Recio-Garcia,  J.; <a class=\"bibbase author link\" href=\"https://gaia.fdi.ucm.es/people/guille/pubs.php\">Jimenez-Diaz,  G.</a>; Sanchez-Ruiz,  A.;  and Diaz-Agudo,  B.\n</span>\n\n  \n\n</span>\n\n  In <i>RecSys'09 - Proceedings of the 3rd ACM Conference on Recommender Systems</i>, pages 325-328,  2009. \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\n  \n  <a href=\"http://doi.org/10.1145/1639714.1639779\"\n     onclick=\"log_download('reciogarcia-jimenezdiaz-sanchezruiz-diazagudo-personalityawarerecommendationstogroups-2009', 'http://doi.org/10.1145/1639714.1639779', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/reciogarcia-jimenezdiaz-sanchezruiz-diazagudo-personalityawarerecommendationstogroups-2009\"\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('reciogarcia-jimenezdiaz-sanchezruiz-diazagudo-personalityawarerecommendationstogroups-2009')\" -->\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{\n title = {Personality aware recommendations to groups},\n type = {inproceedings},\n year = {2009},\n keywords = {Conflict resolution,Group recommendation,Personality},\n pages = {325-328},\n id = {21a77f3f-60ed-3e1f-8a12-ba6b3a4a7f23},\n created = {2018-02-26T11:10:15.927Z},\n file_attached = {false},\n profile_id = {9b41408a-6b73-3771-9777-d165eecfa568},\n group_id = {417c88cb-beff-360c-a95a-7fe124855ec9},\n last_modified = {2018-02-26T11:10:15.927Z},\n read = {false},\n starred = {true},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n private_publication = {false},\n abstract = {In this article we introduce a novel method of making recommendations to groups based on existing techniques of collaborative filtering and taking into account the group personality composition. We have tested our method in the movie recommendation domain and we have experimentally evaluated its behavior under heterogeneous groups according to the group personality composition. Copyright 2009 ACM.},\n bibtype = {inproceedings},\n author = {Recio-Garcia, J.A. and Jimenez-Diaz, G. and Sanchez-Ruiz, A.A. and Diaz-Agudo, B.},\n doi = {10.1145/1639714.1639779},\n booktitle = {RecSys&#x27;09 - Proceedings of the 3rd ACM Conference on Recommender Systems}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  In this article we introduce a novel method of making recommendations to groups based on existing techniques of collaborative filtering and taking into account the group personality composition. We have tested our method in the movie recommendation domain and we have experimentally evaluated its behavior under heterogeneous groups according to the group personality composition. Copyright 2009 ACM.\n</div>\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2008\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2008')\"\n      onkeypress=\"toggleGroup('group_2008')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2008</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=\"jimnezdaz-gmezalbarrn-gonzlezcalero-teachinggofdesignpatternsthroughrefactoringandroleplay-2008\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Teaching GoF design patterns through refactoring and role-play.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Jiménez-Díaz,  G.; Gómez-Albarrán,  M.;  and <a class=\"bibbase author link\" href=\"https://gaia.fdi.ucm.es/research/bb/\">González-Calero,  P.</a>\n</span>\n\n  \n\n</span>\n\n  <i>International Journal of Engineering Education</i>, 24(4): 717-728.  2008.\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\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/jimnezdaz-gmezalbarrn-gonzlezcalero-teachinggofdesignpatternsthroughrefactoringandroleplay-2008\"\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('jimnezdaz-gmezalbarrn-gonzlezcalero-teachinggofdesignpatternsthroughrefactoringandroleplay-2008')\" -->\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{\n title = {Teaching GoF design patterns through refactoring and role-play},\n type = {article},\n year = {2008},\n keywords = {Active learning,Object-oriented design pattern learning,Pattern-directed refactoring,Role-play},\n pages = {717-728},\n volume = {24},\n id = {763fcf85-51ef-3e03-99b0-97e4a5f79581},\n created = {2018-02-26T11:10:16.060Z},\n file_attached = {false},\n profile_id = {9b41408a-6b73-3771-9777-d165eecfa568},\n group_id = {417c88cb-beff-360c-a95a-7fe124855ec9},\n last_modified = {2018-02-26T11:10:16.060Z},\n read = {false},\n starred = {true},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n private_publication = {false},\n abstract = {In order to fully understand the implications of object-oriented design patterns, students need to consider alternative designs to a problem and to analyse these solutions in terms of coupling, cohesion and extensibility. Lecture-based approaches to teaching design patterns do not provide students with the insights needed unless they already have experience in object-oriented design. In this paper we present an approach to teaching design patterns that promotes active learning and makes students participate in refactorings through role-play sessions. We describe two experiments that demonstrate student acceptance and present promising results on the effectiveness of the approach. © 2008 TEMPUS Publications.},\n bibtype = {article},\n author = {Jiménez-Díaz, G. and Gómez-Albarrán, M. and González-Calero, P.A.},\n journal = {International Journal of Engineering Education},\n number = {4}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  In order to fully understand the implications of object-oriented design patterns, students need to consider alternative designs to a problem and to analyse these solutions in terms of coupling, cohesion and extensibility. Lecture-based approaches to teaching design patterns do not provide students with the insights needed unless they already have experience in object-oriented design. In this paper we present an approach to teaching design patterns that promotes active learning and makes students participate in refactorings through role-play sessions. We describe two experiments that demonstrate student acceptance and present promising results on the effectiveness of the approach. © 2008 TEMPUS Publications.\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);