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\n  \n 2019\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n RecoLibry-core: A component-based framework for building recommender systems.\n \n \n \n \n\n\n \n Jorro-Aragoneses, J., L.; Recio-García, J., A.; Díaz-Agudo, B.; and Jimenez-Diaz, G.\n\n\n \n\n\n\n Knowledge-Based Systems,In Press. 7 2019.\n \n\n\n\n
\n\n\n\n \n \n \"RecoLibry-core:Website\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@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}
\n
\n\n\n
\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
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\n \n\n \n \n \n \n \n An Algorithm Independent Case-Based Explanation Approach for Recommender Systems Using Interaction Graphs.\n \n \n \n\n\n \n Caro-Martínez, M.; Recio-García, J., A.; and Jimenez-Diaz, G.\n\n\n \n\n\n\n In Case-Based Reasoning Research and Development - 27th International Conference, ICCBR 2019, pages In Press, 2019. Springer\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@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}
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\n  \n 2018\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n \n A Wikia census: motives, tools and insights.\n \n \n \n \n\n\n \n Jimenez-Diaz, G.; Serrano, A.; and Arroyo, J.\n\n\n \n\n\n\n In Proceedings of the 14th International Symposium on Open Collaboration - OpenSym '18, pages 2:1--2:6, 2018. ACM Press\n \n\n\n\n
\n\n\n\n \n \n \"AWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@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}
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\n \n\n \n \n \n \n \n \n Case Base Elicitation for a Context-Aware Recommender System.\n \n \n \n \n\n\n \n Jorro-Aragoneses, J., L.; Jimenez-Díaz, G.; Recio-García, J., A.; and Díaz-Agudo, B.\n\n\n \n\n\n\n In Case-Based Reasoning Research and Development - 26th International Conference, ICCBR 2018, volume 11156 LNAI, pages 170-185, 7 2018. Springer\n \n\n\n\n
\n\n\n\n \n \n \"CaseWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@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}
\n
\n\n\n
\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
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\n \n\n \n \n \n \n \n \n SocialFan: Integrating Social Networks Into Recommender Systems.\n \n \n \n \n\n\n \n Diaz-Agudo, B.; Jimenez-Diaz, G.; and Recio-Garcia, J., A.\n\n\n \n\n\n\n In IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI), pages 171-176, 11 2018. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"SocialFan:Website\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@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}
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\n \n\n \n \n \n \n \n Case-based recommendation for online judges using learning itineraries.\n \n \n \n\n\n \n Sánchez-Ruiz, A.; Jimenez-Diaz, G.; Gómez-Martín, P.; and Gómez-Martín, M.\n\n\n \n\n\n\n Volume 10339 LNAI 2017.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@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}
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\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
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\n \n\n \n \n \n \n \n Similarity metrics from social network analysis for content recommender systems.\n \n \n \n\n\n \n Jimenez-Diaz, G.; Gómez-Martín, P.; Gómez-Martín, M.; and Sánchez-Ruiz, A.\n\n\n \n\n\n\n AI Communications, 30(3-4). 2017.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@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}
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\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
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\n \n\n \n \n \n \n \n Similar users or similar items? Comparing similarity-based approaches for recommender systems in online judges.\n \n \n \n\n\n \n Caro-Martinez, M.; and Jimenez-Diaz, G.\n\n\n \n\n\n\n Volume 10339 LNAI 2017.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@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}
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\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
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\n \n\n \n \n \n \n \n Social factors in group recommender systems.\n \n \n \n\n\n \n Quijano-Sanchez, L.; Recio-Garcia, J.; Diaz-Agudo, B.; and Jimenez-Diaz, G.\n\n\n \n\n\n\n ACM Transactions on Intelligent Systems and Technology, 4(1). 2013.\n \n\n\n\n
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@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}
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\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
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\n  \n 2012\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n A framework for the rapid prototyping of knowledge-based recommender systems in the learning domain.\n \n \n \n\n\n \n Ruiz-Iniesta, A.; Jiménez-Díaz, G.; and Gómez-Albarrán, M.\n\n\n \n\n\n\n Journal of Research and Practice in Information Technology, 44(2): 167-181. 2012.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
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@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}
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\n\n\n
\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
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\n \n\n \n \n \n \n \n A framework for the rapid prototyping of knowledge-based recommender systems in the learning domain.\n \n \n \n\n\n \n Ruiz-Iniesta, A.; Jiménez-Díaz, G.; and Gómez-Albarrán, M.\n\n\n \n\n\n\n Journal of Research and Practice in Information Technology, 44(2): 167-181. 2012.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
\n
@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}
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\n\n\n
\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
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\n \n\n \n \n \n \n \n A hybrid user-centred recommendation strategy applied to repositories of learning objects.\n \n \n \n\n\n \n Ruiz-Iniesta, A.; Jiménez-Díaz, G.; and Gómez-Albarrán, M.\n\n\n \n\n\n\n International Journal of Web Based Communities, 8(3): 302-321. 2012.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@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}
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\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
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\n  \n 2009\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n Personality aware recommendations to groups.\n \n \n \n\n\n \n Recio-Garcia, J.; Jimenez-Diaz, G.; Sanchez-Ruiz, A.; and Diaz-Agudo, B.\n\n\n \n\n\n\n In RecSys'09 - Proceedings of the 3rd ACM Conference on Recommender Systems, pages 325-328, 2009. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
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@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}
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\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
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\n  \n 2008\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n Teaching GoF design patterns through refactoring and role-play.\n \n \n \n\n\n \n Jiménez-Díaz, G.; Gómez-Albarrán, M.; and González-Calero, P.\n\n\n \n\n\n\n International Journal of Engineering Education, 24(4): 717-728. 2008.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@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}
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\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
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