Publications

Updated on January 2024 Any comments, reviews, critiques, or objections are invited and should be sent to the author by e-mail.
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Journals / Revistas

  1. P. Muñoz, F. Díez, A. Bellogín.  Modeling disinformation networks on Twitter: structure, behavior, and impact. Applied Network Science 9 (4), 1-35. ISSN: 2364-8228. 2024 JCR 2022: 2.2, no ranking [JCI 2022: 0.47, Q3 Computer Science, Theory & Methods, Q2 Multidisciplinary Sciences]. SJR 2022: 0.603, Q2 (Computational Mathematics), Q2 (Computer Networks and Communications), Q1 (Multidisciplinary). CiteScore 2022: 4.5, 22/134 (Multidisciplinary: T1, Q1, D2), 41/172 (Computational Mathematics: T1, Q1, D3), 143/379 (Computer Networks and Communications: T2, Q2, D4). NSD 2023: scientific level 1. DOI: 10.1007/s41109-024-00610-w PDF
  2. N. Serrano, A. Bellogín.  Siamese Neural Networks in Recommendation. Neural Computing and Applications 35, 13941-13953. ISSN: 0941-0643. 2023 JCR 2022: 6.0, 41/145 (Artificial Intelligence: T1, Q2, D3). SJR 2022: 1.169, Q1 (Artificial Intelligence), Q1 (Software). CiteScore 2022: 10.0, 47/404 (Computer Science Software: T1, Q1, D2), 48/301 (Computer Science Artificial Intelligence: T1, Q1, D2). NSD 2022: scientific level 1. DOI: 10.1007/s00521-023-08610-0 PDF
  3. Y. Deldjoo, F. Nazary, A. Ramisa, J. McAuley, G. Pellegrini, A. Bellogín, T. Di Noia.  A Review of Modern Fashion Recommender Systems. ACM Computing Surveys (in press). ISSN: 0360-0300. 2023 JCR 2022: 16.6, 3/111 (Theory & Methods: T1, Q1, D1). SJR 2022: 4.457, Q1 (Computer Science miscellaneous), Q1 (Theoretical Computer Science). CiteScore 2022: 28.5, 2/233 (Computer Science: T1, Q1, D1), 1/127 (Theoretical Computer Science: T1, Q1, D1). NSD 2022: scientific level 2. DOI: 10.1145/3624733 PDF mirror
  4. Y. Deldjoo, D. Jannach, A. Bellogín, A. Difonzo, D. Zanzonelli.  Fairness in Recommender Systems: Research Landscape and Future Directions. User Modeling and User-Adapted Interaction (in press). Springer, ISSN: 0924-1868. 2023 JCR 2022: 3.6, 10/24 (Cybernetics: T2, Q2, D4). SJR 2022: 1.231, Q1 (Computer Science Applications), Q1 (Human-Computer Interaction), Q1 (Education) CiteScore 2022: 10.4, 69/792 (Computer Science Applications: T1, Q1, D1), 16/135 (Human-Computer Interaction: T1, Q1, D2), 30/1469 (Education: T1, Q1, D1) NSD 2021: scientific level 2. DOI: 10.1007/s11257-023-09364-z PDF mirror
  5. P. Sánchez, A. Bellogín, L. Boratto.  Bias Characterization, Assessment, and Mitigation in Location-based Recommender Systems. Data Mining and Knowledge Discovery 37, pp. 1885-1929. ISSN: 1384-5810. 2023 JCR 2022: 4.8, 58/158 (Information Systems: T2, Q2, D4), 58/145 (Artificial Intelligence: T2, Q2, D4). SJR 2022: 1.635, Q1 (Computer Networks and Communications), Q1 (Computer Science Applications), Q1 (Information Systems). CiteScore 2022: 11.8, 50/792 (Computer Science Applications: T1, Q1, D1), 24/379 (Computer Networks and Communications: T1, Q1, D1), 29/379 (Information Systems: T1, Q1, D1). NSD 2022: scientific level 2. DOI: 10.1007/s10618-022-00913-5 PDF
  6. E. Amigó, Y. Deldjoo, S. Mizzaro, A. Bellogín.  A unifying and general account of fairness measurement in recommender systems. Information Processing & Management 60(1). ISSN: 0306-4573. 2023 JCR 2022: 8.6, 11/158 (Information Systems: T1, Q1, D2). SJR 2022: 2.106, Q1 (Computer Science Applications), Q1 (Information Systems), Q1 (Management Science and Operations Research), Q1 (Media Technology), Q1 (Library and Information Sciences). CiteScore 2022: 14.8, 29/792 (Computer Science Applications: T1, Q1, D1), 21/379 (Information Systems: T1, Q1, D1), 5/198 (Management Science and Operations Research: T1, Q1, D1), 1/62 (Media Technology: T1, Q1, D1), 4/266 (Library and Information Sciences: T1, Q1, D1). NSD 2021: scientific level 2. DOI: 10.1016/j.ipm.2022.103115 PDF
  7. P. Sánchez, A. Bellogín.  Point-of-Interest Recommender Systems based on Location-Based Social Networks: A Survey from an Experimental Perspective. ACM Computing Surveys 54(11s), article 223, pp. 1-37. ISSN: 0360-0300. 2022 JCR 2022: 16.6, 3/111 (Theory & Methods: T1, Q1, D1). SJR 2022: 4.457, Q1 (Computer Science miscellaneous), Q1 (Theoretical Computer Science). CiteScore 2022: 28.5, 2/233 (Computer Science: T1, Q1, D1), 1/127 (Theoretical Computer Science: T1, Q1, D1). NSD 2022: scientific level 2. DOI: 10.1145/3510409 PDF supplementary
  8. A. Bellogín, A. Said.  Improving Accountability in Recommender Systems Research Through Reproducibility. User Modeling and User-Adapted Interaction 31, pp. 941-977. Springer, ISSN: 0924-1868. 2021 JCR 2021: 4.230, 8/24 (Cybernetics: T2, Q2, D4). SJR 2021: 1.530, Q1 (Computer Science Applications), Q1 (Human-Computer Interaction), Q1 (Education) CiteScore 2021: 10.4, 53/747 (Computer Science Applications: T1, Q1, D1), 10/128 (Human-Computer Interaction: T1, Q1, D1), 9/1406 (Education: T1, Q1, D1) NSD 2021: scientific level 2. DOI: 10.1007/s11257-021-09302-x PDF mirror
  9. Y. Deldjoo, A. Bellogín, T. di Noia.  Explaining Recommender Systems Fairness and Accuracy through the Lens of Data Characteristics. Information Processing & Management 58(5). ISSN: 0306-4573. 2021 JCR 2021: 7.466, 20/164 (Information Systems: T1, Q1, D2). SJR 2021: 1.854, Q1 (Computer Science Applications), Q1 (Information Systems), Q1 (Management Science and Operations Research), Q1 (Media Technology), Q1 (Library and Information Sciences). CiteScore 2021: 11.0, 46/747 (Computer Science Applications: T1, Q1, D1), 28/353 (Information Systems: T1, Q1, D1), 9/184 (Management Science and Operations Research: T1, Q1, D1), 2/62 (Media Technology: T1, Q1, D1), 7/247 (Library and Information Sciences: T1, Q1, D1). NSD 2021: scientific level 2. DOI: 10.1016/j.ipm.2021.102662 PDF mirror
  10. P. Sánchez, A. Bellogín.  On the effects of aggregation strategies for different groups of users in venue recommendation. Information Processing & Management 58(5). ISSN: 0306-4573. 2021 JCR 2021: 7.466, 20/164 (Information Systems: T1, Q1, D2). SJR 2021: 1.854, Q1 (Computer Science Applications), Q1 (Information Systems), Q1 (Management Science and Operations Research), Q1 (Media Technology), Q1 (Library and Information Sciences). CiteScore 2021: 11.0, 46/747 (Computer Science Applications: T1, Q1, D1), 28/353 (Information Systems: T1, Q1, D1), 9/184 (Management Science and Operations Research: T1, Q1, D1), 2/62 (Media Technology: T1, Q1, D1), 7/247 (Library and Information Sciences: T1, Q1, D1). NSD 2021: scientific level 2. DOI: 10.1016/j.ipm.2021.102609 PDF
  11. Y. Deldjoo, V.W. Anelli, H. Zamani, A. Bellogín, T. di Noia.  A flexible framework for evaluating user and item fairness in Recommender Systems. User Modeling and User-Adapted Interaction 31, pp. 457-511. Springer, ISSN: 0924-1868. 2021 JCR 2021: 4.230, 8/24 (Cybernetics: T2, Q2, D4). SJR 2021: 1.530, Q1 (Computer Science Applications), Q1 (Human-Computer Interaction), Q1 (Education) CiteScore 2021: 10.4, 53/747 (Computer Science Applications: T1, Q1, D1), 10/128 (Human-Computer Interaction: T1, Q1, D1), 9/1406 (Education: T1, Q1, D1) NSD 2021: scientific level 2. DOI: 10.1007/s11257-020-09285-1 PDF mirror
  12. D. Valcarce, A. Bellogín, J. Parapar, P. Castells.  Assessing ranking metrics in top-N recommendation. Information Retrieval, 23, pp. 411-448. Springer, ISSN: 1386-4564. 2020 JCR 2020: 2.293, 98/162 (Information Systems: T2, Q3, D7). SJR 2020: 0.379, Q2 (Information Systems), Q2 (Library and Information Sciences). CiteScore 2020: 5.1, 76/329 (Information Systems: T1, Q1, D3), 22/235 (Library and Information Sciences: T1, Q1, D1). NSD 2020: scientific level 2. DOI: 10.1007/s10791-020-09377-x PDF
  13. P. Sánchez, A. Bellogín.  Applying reranking strategies to route recommendation using sequence-aware evaluation. User Modeling and User-Adapted Interaction 30(4), pp. 659-725. Springer, ISSN: 0924-1868. 2020 JCR 2020: 4.412, 5/23 (Cybernetics: T1, Q1, D2). SJR 2020: 1.092, Q1 (Computer Science Applications), Q1 (Human-Computer Interaction), Q1 (Education). CiteScore 2020: 10.5, 43/693 (Computer Science Applications: T1, Q1, D1), 10/120 (Human-Computer Interaction: T1, Q1, D1), 5/1319 (Education: T1, Q1, D1). NSD 2016: scientific level 2. DOI: 10.1007/s11257-020-09258-4 PDF
  14. P. Sánchez, A. Bellogín.  Time and sequence awareness in similarity metrics for recommendation. Information Processing & Management 57(3): 102228. ISSN: 0306-4573. 2020 JCR 2020: 6.222, 21/162 (Information Systems: T1, Q1, D2). SJR 2020: 1.061, Q1 (Computer Science Applications), Q1 (Information Systems), Q1 (Management Science and Operations Research), Q1 (Media Technology), Q1 (Library and Information Sciences). CiteScore 2020: 8.6, 63/693 (Computer Science Applications: T1, Q1, D1), 29/329 (Information Systems: T1, Q1, D1), 8/166 (Management Science and Operations Research: T1, Q1, D1), 3/61 (Media Technology: T1, Q1, D1), 8/235 (Library and Information Sciences: T1, Q1, D1). NSD 2018: scientific level 1. DOI: 10.1016/j.ipm.2020.102228 PDF
  15. R.M. Mesas, A. Bellogín.  Exploiting recommendation confidence in decision-aware recommender systems. Journal of Intelligent Information Systems, 54(1), pp. 45-78. Springer, ISSN: 0925-9902. 2020 JCR 2020: 1.888, 97/140 (Artificial Intelligence: T3, Q3, D7), 122/162 (Information Systems: T3, Q3, D8). SJR 2020: 0.424, Q2 (Artificial Intelligence), Q2 (Computer Networks and Communications), Q2 (Hardware and architecture), Q2 (Information Systems), Q2 (Software). CiteScore 2020: 4.4, 89/227 (Artificial Intelligence: T2, Q2, D4), 96/334 (Computer Networks and Communications: T1, Q2, D3), 59/157 (Hardware and architecture: T2, Q2, D4), 94/329 (Information Systems: T1, Q2, D3), 155/389 (Software: T2, Q2, D4). NSD 2018: scientific level 1. DOI: 10.1007/s10844-018-0526-3 PDF
  16. M. Hernández-Rubio, I. Cantador, A. Bellogín.  A comparative analysis of recommender systems based on item aspect opinions extracted from user reviews. User Modeling and User-Adapted Interaction 29(2), pp. 381-441. Springer, ISSN: 0924-1868. 2019 JCR 2019: 4.682, 4/22 (Cybernetics: T1, Q1, D2). SJR 2019: 1.574, 66/1377 (Computer Science Applications: T1, Q1, D1), 12/363 (Human-Computer Interaction: T1, Q1, D1), 80/1401 (Education: T1, Q1, D1). CiteScore 2019: 10.5, 35/636 (Computer Science Applications: T1, Q1, D1), 8/108 (Human-Computer Interaction: T1, Q1, D1), 6/1254 (Education: T1, Q1, D1). NSD 2016: scientific level 2. Citations: ACM, Google Scholar, Scopus, Web of Science. DOI: 10.1007/s11257-018-9214-9 PDF
  17. P. Sánchez, A. Bellogín.  Building user profiles based on sequences for content and collaborative filtering. Information Processing & Management 56(1), pp. 192-211. ISSN: 0306-4573. 2019 JCR 2019: 4.787, 22/156 (Information Systems: T1, Q1, D2). SJR 2019: 1.192, 103/1377 (Computer Science Applications: T1, Q1, D1), 44/683 (Information Systems: T1, Q1, D1), 34/191 (Management Science and Operations Research: T1, Q1, D2), 6/155 (Media Technology: T1, Q1, D1), 21/248 (Library and Information Sciences: T1, Q1, D1). CiteScore 2019: 8.6, 53/636 (Computer Science Applications: T1, Q1, D1), 23/300 (Information Systems: T1, Q1, D1), 6/161 (Management Science and Operations Research: T1, Q1, D1), 4/70 (Media Technology: T1, Q1, D1), 5/227 (Library and Information Sciences: T1, Q1, D1). NSD 2018: scientific level 1. Citations: ACM, Google Scholar, Scopus, Web of Science. DOI: 10.1016/j.ipm.2018.10.003 PDF
  18. A. Said, A. Bellogín.  Coherence and Inconsistencies in Rating Behavior -- Estimating the Magic Barrier of Recommender Systems. User Modeling and User-Adapted Interaction 28(2), pp. 97-125. Springer, ISSN: 0924-1868. 2018 JCR 2018: 3.400, 4/23 (Cybernetics: T1, Q1, D2). SJR 2018: 0.907, 118/553 (Computer Science Applications: T1, Q1, D3), 13/88 (Human-Computer Interaction: T1, Q1, D2), 174/1044 (Education: T1, Q1, D2). CiteScore 2018: 5.45, 52/569 (Computer Science Applications: T1, Q1, D2), 9/89 (Human-Computer Interaction: T1, Q1, D2), 10/1040 (Education: T1, Q1, D1). NSD 2016: scientific level 2. Citations: ACM, Google Scholar, Scopus, Web of Science. DOI: 10.1007/s11257-018-9202-0 PDF
  19. A. Bellogín, P. Sánchez.  Collaborative filtering based on subsequence matching: A new approach. Information Sciences 418, pp. 432-446. Elsevier, ISSN: 0020-0255. 2017 JCR 2017: 4.305, 12/148 (Information Systems: T1, Q1, D1). SJR 2017: 1.635, 10/173 (Theoretical Computer Science: T1, Q1, D1), 38/2290 (Computer Science Applications: T1, Q1, D1), 13/1006 (Artificial Intelligence: T1, Q1, D1), 20/1821 (Software: T1, Q1, D1), 10/274 (Information Systems and Management: T1, Q1, D1), 15/948 (Control and Systems Engineering: T1, Q1, D1). CiteScore 2017: 5.25, 5/114 (Theoretical Computer Science: T1, Q1, D1), 28/535 (Computer Science Applications: T1, Q1, D1), 9/168 (Artificial Intelligence: T1, Q1, D1), 20/1821 (Software: T1, Q1, D1), 6/81 (Information Systems and Management: T1, Q1, D1), 13/224 (Control and Systems Engineering: T1, Q1, D1). NSD 2016: scientific level 2. Citations: ACM, Google Scholar, Scopus, Web of Science. DOI: 10.1016/j.ins.2017.08.016 PDF
  20. A. Bellogín, I. Cantador, P. Castells.  Statistical biases in Information Retrieval metrics for recommender systems. Information Retrieval 20(6), pp. 606-634. ISSN: 1386-4564. 2017 JCR 2017: 1.488, 88/148 (Information Systems: T2, Q3, D6). SJR 2017: 0.352, 157/1233 (Information Systems: T1, Q1, D2), 77/226 (Library and Information Sciences: T2, Q2, D4). CiteScore 2017: 2.18, 70/251 (Information Systems: T1, Q2, D3), 22/202 (Library and Information Sciences: T1, Q1, D2). NSD 2016: scientific level 2. Citations: ACM, Google Scholar, Scopus, Web of Science. DOI: 10.1007/s10791-017-9312-z PDF
  21. T. Samar, A. Bellogín, A.P. De Vries.  The Strange Case of Reproducibility vs. Representativeness in Contextual Suggestion Test Collections. Information Retrieval 19(3), pp. 230-255. ISSN: 1386-4564. 2016 JCR 2016: 0.791, 124/146 (Information Systems: T3, Q4, D9). SJR 2016: 0.360, 146/670 (Information Systems: T1, Q1, D3), 73/211 (Library and Information Sciences: T2, Q2, D4). CiteScore 2016: 2.25, 61/238 (Information Systems: T1, Q2, D3), 22/194 (Library and Information Sciences: T1, Q1, D2). NSD 2015: scientific level 2. Citations: ACM, Google Scholar, Scopus, Web of Science. DOI: 10.1007/s10791-015-9276-9 PDF
  22. S. Dooms, A. Bellogín, T. De Pessemier, L. Martens.  A Framework for Dataset Benchmarking and its Application to a New Movie Rating Dataset. ACM Transactions on Intelligent Systems and Technology (ACM TIST), 7(3): 41, pp. 1-28. ISSN: 2157-6904. 2016 JCR 2016: 3.247, 26/133 (Artificial Intelligence: T1, Q1, D2), 30/146 (Information Systems: T1, Q1, D3). SJR 2016: 1.094, 34/538 (Artificial Intelligence: T1, Q1, D1), 21/137 (Theoretical Computer Science: T1, Q1, D2). CiteScore 2016: 3.97, 19/152 (Artificial Intelligence: T1, Q1, D2), 7/113 (Theoretical Computer Science: T1, Q1, D1). NSD 2015: scientific level NA. Citations: ACM, Google Scholar, Scopus, Web of Science. DOI: 10.1145/2751565 PDF
  23. A. Bellogín, P. Castells, I. Cantador.  Neighbor Selection and Weighting in User-Based Collaborative Filtering: A Performance Prediction Approach. ACM Transactions on the Web 8 (2): 12. ISSN: 1559-1131. 2014 JCR 2014: 1.255, 55/139 (Information Systems: T2, Q2, D4), 37/104 (Software Engineering: T2, Q2, D4). SJR 2014: 2.298, 18/218 (Computer Networks and Communications: T1, Q1, D1). CiteScore 2014: 3.42, 22/205 (Computer Networks and Communications: T1, Q1, D2). NSD 2014: scientific level 1. Citations: ACM, Google Scholar, Scopus, Web of Science. DOI: 10.1145/2579993 PDF
  24. J. Parapar, A. Bellogín, P. Castells, A. Barreiro.  Relevance-Based Language Modelling for Recommender Systems. Information Processing & Management 49 (4), pp. 966-980. ISSN: 0306-4573. 2013 JCR 2013: 1.069, 68/135 (Information Systems: T2, Q3, D6). SJR 2013: 1.020, 24/196 (Library and Information Sciences: T1, Q1, D2), 67/225 (Information Systems: T1, Q2, D3), 5/46 (Media Technology: T1, Q1, D2), 120/500 (Computer Science Applications: T1, Q1, D3), 34/114 (Management Science and Operations Research: T1, Q2, D3). CiteScore 2013: 2.05, 17/181 (Library and Information Sciences: T1, Q1, D1), 51/209 (Information Systems: T1, Q1, D3), 7/56 (Media Technology: T1, Q1, D2), 122/462 (Computer Science Applications: T1, Q2, D3), 24/106 (Management Science and Operations Research: T1, Q1, D3). NSD 2013: scientific level 2. Citations: ACM, Google Scholar, Scopus, Web of Science. DOI: 10.1016/j.ipm.2013.03.001 PDF
  25. A. Bellogín, J. Wang, P. Castells.  Bridging Memory-Based Collaborative Filtering and Text Retrieval. Information Retrieval 16 (6), pp. 697-724. ISSN: 1386-4564. 2013 JCR 2013: 0.625, 99/135 (Information Systems: T3, Q3, D8). SJR 2013: 1.738, 40/225 (Information Systems: T1, Q1, D2), 7/196 (Library and Information Sciences: T1, Q1, D1). CiteScore 2013: 2.58, 40/209 (Information Systems: T1, Q1, D2), 10/181 (Library and Information Sciences: T1, Q1, D1). NSD 2013: scientific level 2. Citations: ACM, Google Scholar, Scopus, Web of Science. DOI: 10.1007/s10791-012-9214-z PDF
  26. A. Bellogín, I. Cantador, P. Castells.  A Comparative Study of Heterogeneous Item Recommendations in Social Systems. Information Sciences 221 (1), pp. 142-169. Elsevier, ISSN: 0020-0255. 2013 JCR 2013: 3.893, 8/135 (Information Systems: T1, Q1, D1). SJR 2013: 2.332, 7/120 (Theoretical Computer Science: T1, Q1, D1), 19/500 (Computer Science Applications: T1, Q1, D1), 11/153 (Artificial Intelligence: T1, Q1, D1), 21/385 (Software: T1, Q1, D1), 4/66 (Information Systems and Management: T1, Q1, D1), 9/205 (Control and Systems Engineering: T1, Q1, D1). CiteScore 2013: 5.46, 4/116 (Theoretical Computer Science: T1, Q1, D1), 13/462 (Computer Science Applications: T1, Q1, D1), 8/141 (Artificial Intelligence: T1, Q1, D1), 11/355 (Software: T1, Q1, D1), 2/62 (Information Systems and Management: T1, Q1, D1), 6/191 (Control and Systems Engineering: T1, Q1, D1). NSD 2013: scientific level 2. Citations: ACM, Google Scholar, Scopus, Web of Science. DOI: 10.1016/j.ins.2012.09.039 PDF UAM Gazette
  27. A. Bellogín, I. Cantador, F. Diez, P. Castells, E. Chavarriaga.  An Empirical Comparison of Social, Collaborative Filtering, and Hybrid Recommenders. ACM Transactions on Intelligent Systems and Technology (ACM TIST) 4 (1), pp. 14:1-29. Special issue on Challenge on Context-Aware Movie Recommendation. ISSN: 2157-6904. 2013 JCR 2013: 9.390, 1/121 (Artificial Intelligence: T1, Q1, D1), 1/135 (Information Systems: T1, Q1, D1). SJR 2013: 4.026, 4/153 (Artificial Intelligence: T1, Q1, D1), 1/120 (Theoretical Computer Science: T1, Q1, D1). CiteScore 2013: 14.31, 2/141 (Artificial Intelligence: T1, Q1, D1), 1/116 (Theoretical Computer Science: T1, Q1, D1). NSD 2013: scientific level NA. Citations: ACM, Google Scholar, Scopus, Web of Science. DOI: 10.1145/2414425.2414439 PDF
  28. I. Cantador, P. Castells, and A. Bellogín.  An Enhanced Semantic Layer for Hybrid Recommender Systems: Application to News Recommendation. International Journal On Semantic Web and Information Systems 7(1), pp. 44-77. IGI Global, ISSN: 1552-6283. 2011 JCR 2011: 2.308, 17/111 (Artificial Intelligence: T1, Q1, D2), 15/135 (Information Systems: T1, Q1, D2). SJR 2011: 2.831, 11/211 (Computer Networks and Communications: T1, Q1, D1), 14/214 (Information Systems: T1, Q1, D1). CiteScore 2011: 5.20, 2/176 (Computer Networks and Communications: T1, Q1, D1), 6/186 (Information Systems: T1, Q1, D1). NSD 2011: scientific level 1. Citations: ACM, Google Scholar, Scopus, Web of Science. DOI: 10.4018/jswis.2011010103 PDF
  29. I. Cantador, A. Bellogín, and P. Castells. A Multilayer Ontology-based Hybrid Recommendation Model. AI Communications 21(2-3), special issue on Recommender Systems, April 2008, pp. 203-210. IOS Press, ISSN: 0921-7126 (Print); 1875-8452 (Online). 2008 JCR 2008: 0.608, 81/94 (Artificial Intelligence: T3, Q4, D9). SJR 2008: 0.688, 53/128 (Artificial Intelligence: T2, Q2, D5). CiteScore 2011: 1.36, 68/132 (Artificial Intelligence: T2, Q3, D6). NSD 2008: scientific level 1. Citations: ACM, Google Scholar, Scopus, Web of Science. DOI: 10.3233/AIC-2008-0437 PDF

International Conferences and LNCS/LNAI Series / Conferencias internacionales

  1. Pablo Sánchez and Alejandro Bellogín, Iván Cantador. Towards sustainability optimization in touristic route recommendation. Proceedings of the 16th FLINS Conference on Computational Intelligence in Decision and Control - The 19th ISKE Conference on Intelligence Systems and Knowledge Engineering (FLINS-ISKE 2024), special session on Recommended Systems Supported by Computational Intelligence: Emerging Topics and Applications. Madrid, Spain, July 2024. (in press). CORE 2023: NA. GGS 2021: class W, rating W. DOI: /. PDF
  2. Miriam Fernández, Alejandro Bellogín, Iván Cantador. Analysing the effect of recommendation algorithms on the spread of misinformation. Proceedings of the 16th ACM Web Science Conference (WebSci 2024). Stuttgart, Germany, May 2024. (in press). CORE 2023: NA. GGS 2021: class W, rating W. DOI: /. PDF
  3. Marina Alonso-Cortés, Iván Cantador, Alejandro Bellogín. Recommendation fairness in e-participation: Listening to minority, vulnerable and NIMBY citizens. Proceedings of the 46th European Conference on Information Retrieval (ECIR 2024). Glasgow, Scotland, March 2024. Lecture Notes in Computer Science, vol. 14611, pp. 420-436. Ed. Springer-Verlag, ISBN 978-3-031-56066-8. CORE 2023: rank A. GGS 2021: class 2, rating A-. DOI: 10.1007/978-3-031-56066-8_31. PDF
  4. Vito W. Anelli, Daniele Malitesta, Claudio Pomo, Alejandro Bellogín, Eugenio Di Sciascio, Tommaso di Noia. Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis. Proceedings of the 17th ACM Conference on Recommender Systems (RecSys 2023). Singapore, Singapore, September 2023. ACM, pp. 350-361, ISBN 979-8-4007-0241-9. CORE 2021: rank A. GGS 2021: class 2, rating A. DOI: 10.1145/3604915.3609489. PDF
  5. Vito W. Anelli, Alejandro Bellogín, Tommaso di Noia, Dietmar Jannach, Claudio Pomo. Top-N Recommendation Algorithms: A Quest for the State-of-the-Art. Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2022). Barcelona, Spain, July 2022. ACM, pp. 121-131, ISBN 978-1-4503-9207-5. CORE 2021: rank B. GGS 2021: class 3, rating B. DOI: 10.1145/3503252.3531292. PDF Source code
  6. Vito W. Anelli, Alejandro Bellogín, Tommaso di Noia, Claudio Pomo. Reenvisioning the comparison between Neural Collaborative Filtering and Matrix Factorization. Proceedings of the 15th ACM Conference on Recommender Systems (RecSys 2021). Amsterdam, Netherlands, September 2021. ACM, pp. 521-529, ISBN 978-1-4503-8458-2. CORE 2021: rank A. GGS 2021: class 2, rating A. DOI: 10.1145/3460231.3475944. PDF Source code
  7. Vito W. Anelli, Alejandro Bellogín, Antonio Ferrara, Daniele Malitesta, Felice A. Merra, Claudio Pomo, Francesco M. Donini, Tommaso di Noia. V-Elliot: Design, Evaluate and Tune Visual Recommender Systems. Proceedings of the 15th ACM Conference on Recommender Systems (RecSys 2021). Amsterdam, Netherlands, September 2021. ACM, pp. 768-771, ISBN 978-1-4503-8458-2. CORE 2021: rank A. GGS 2021: class 2, rating A. DOI: 10.1145/3460231.3478881. PDF Source code
  8. Vito W. Anelli, Alejandro Bellogín, Antonio Ferrara, Daniele Malitesta, Felice A. Merra, Claudio Pomo, Francesco M. Donini, Tommaso di Noia.  Elliot: a Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation. Proceedings of the 44th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021). Online, July 2021. ACM, pp. 2405-2414. New York, USA, ISBN 978-1-4503-8037-9. CORE 2021: rank A*. GGS 2021: class 1, rating A++. Citations: ACM, Google Scholar, Scopus. DOI: 10.1145/3404835.3463245 PDF Arxiv Source code
  9. Vito W. Anelli, Alejandro Bellogín, Yashar Deldjoo, Tommaso di Noia, Felice A. Merra.  MSAP: Multi-Step Adversarial Perturbations on Recommender Systems Embeddings. The International FLAIRS Conference Proceedings, 34 (FLAIRS 2021). Online, May 2021. CORE 2021: NA. GGS 2021: class 3, rating B-. Citations: ACM, Google Scholar, Scopus. DOI: 10.32473/flairs.v34i1.128443 PDF Arxiv
  10. María Hernández-Rubio, Alejandro Bellogín, Iván Cantador. Aspect-based active learning for user preference elicitation in recommender systems. Proceedings of the Joint Conference of the Information Retrieval Communities in Europe (CIRCLE 2020). Samatan, France, July 2020. CORE 2018: rank NA. GGS 2018: class NA, rating NA. Mirror PDF Slides Video
  11. Fernando Díez, Alejandro Bellogín, Jesús Serrano. Similitud topológica de usuarios: aplicación a los sistemas de recomendación. Proceedings of the Joint Conference of the Information Retrieval Communities in Europe (CIRCLE 2020). Samatan, France, July 2020. CORE 2018: rank NA. GGS 2018: class NA, rating NA. Mirror PDF Slides Video
  12. Sergio Torrijos and Alejandro Bellogín. Analysis of Trajectory Pattern Mining Methods for Recommendation: Extended Abstract. Proceedings of the Joint Conference of the Information Retrieval Communities in Europe (CIRCLE 2020). Samatan, France, July 2020. CORE 2018: rank NA. GGS 2018: class NA, rating NA. Mirror PDF Slides Video
  13. Sergio Torrijos, Alejandro Bellogín, Pablo Sánchez. Discovering Related Users in Location-Based Social Networks. Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2020). Genoa, Italy, July 2020. ACM, pp. 353-357, ISBN 978-1-4503-6861-2. CORE 2018: rank B. GGS 2018: class 3, rating B. DOI: 3340631.3394882. PDF Slides Video
  14. Pablo Sánchez and Alejandro Bellogín. Attribute-based evaluation for recommender systems: incorporating user and item attributes in evaluation metrics. Proceedings of the 13th ACM Conference on Recommender Systems (RecSys 2019). Copenhagen, Denmark, September 2019. ACM, pp. 378-382, ISBN 978-1-4503-6243-6. CORE 2018: rank B. GGS 2018: class 2, rating A-. DOI: 10.1145/3298689.3347049. PDF Source code Poster
  15. Alejandro Bellogín, Ignacio Fernández-Tobías, Iván Cantador, and Paolo Tomeo. Neighbor Selection for Cold Users in Collaborative Filtering with Positive-Only Feedback. Proceedings of the 28th Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA '18). Granada, Spain, October 2018. Lecture Notes in Computer Science, vol. 11160, pp. 3-12. Ed. Springer-Cham, ISBN 978-3-030-00373-9. CORE 2018: rank NA. GGS 2018: class NA, rating NA. Citations: ACM, Google Scholar, Scopus, Web of Science. DOI: 10.1007/978-3-030-00374-6_1. PDF Slides
  16. Daniel Valcarce, Alejandro Bellogín, Javier Parapar, and Pablo Castells. On the robustness and discriminative power of information retrieval metrics for top-N recommendation. Proceedings of the 12th ACM Conference on Recommender Systems (RecSys 2018). Vancouver, Canada, October 2018. ACM, pp. 260-268, ISBN 978-1-4503-5901-6. CORE 2018: rank B. GGS 2018: class 2, rating A-. Citations: ACM, Google Scholar, Scopus, Web of Science. DOI: 10.1145/3240323.3240347. PDF Source code Slides [mirror] Poster [mirror]
  17. Pablo Sánchez and Alejandro Bellogín. Measuring anti-relevance: a study on when recommendation algorithms produce bad suggestions. Proceedings of the 12th ACM Conference on Recommender Systems (RecSys 2018). Vancouver, Canada, October 2018. ACM, pp. 367-371, ISBN 978-1-4503-5901-6. CORE 2018: rank B. GGS 2018: class 2, rating A-. Citations: ACM, Google Scholar, Scopus, Web of Science. DOI: 10.1145/3240323.3240382. PDF Source code Poster
  18. Alejandro Bellogín. Towards an open, collaborative REST API for recommender systems. Proceedings of the 12th ACM Conference on Recommender Systems (RecSys 2018). Vancouver, Canada, October 2018. ACM, pp. 504-505, ISBN 978-1-4503-5901-6. CORE 2018: rank B. GGS 2018: class 2, rating A-. Citations: ACM, Google Scholar, Scopus, Web of Science. DOI: 10.1145/3240323.3241615. PDF Source code Poster
  19. Pablo Sánchez, Alejandro Bellogín. Applying Subsequence Matching to Collaborative Filtering: Extended Abstract. Proceedings of the 5th Spanish Conference on Information Retrieval (CERI '18). Zaragoza, Spain, June 2018. ACM, article 5, 4 pages, ISBN 978-1-4503-6543-7. CORE 2018: rank NA. GGS 2018: class NA, rating NA. Citations: ACM, Google Scholar, Scopus. DOI: 10.1145/3230599.3230605. PDF Slides
  20. Pablo Sánchez, Rus M. Mesas, Alejandro Bellogín. New approaches for evaluation: correctness and freshness: Extended Abstract. Proceedings of the 5th Spanish Conference on Information Retrieval (CERI '18). Zaragoza, Spain, June 2018. ACM, article 14, 4 pages, ISBN 978-1-4503-6543-7. CORE 2018: rank NA. GGS 2018: class NA, rating NA. Citations: ACM, Google Scholar, Scopus. DOI: 10.1145/3230599.3230614. PDF Slides
  21. Pablo Sánchez and Alejandro Bellogín. Time-Aware Novelty Metrics for Recommender Systems. Proceedings of the 40th European Conference on Information Retrieval (ECIR '18). Grenoble, France, March 2018. Lecture Notes in Computer Science, vol. 10772, pp. 357-370. Ed. Springer-Verlag, ISBN 978-3-319-76941-7. CORE 2018: rank A. GGS 2017: class 2, rating A-. Citations: Google Scholar, Scopus. DOI: 10.1007/978-3-319-76941-7_27 PDF  Slides Source
  22. Rus M. Mesas and Alejandro Bellogín. Evaluating Decision-Aware Recommender Systems. Proceedings of the 11th ACM Conference on Recommender Systems (RecSys 2017). Como, Italy, August 2017. ACM, pp. 74-78, ISBN 978-1-4503-4652-8. CORE 2017: rank B. GGS 2017: class 2, rating A-. Citations: ACM, Google Scholar, Scopus, Web of Science. DOI: 10.1145/3109859.3109888. PDF
  23. Pablo Sánchez, Alejandro Bellogín, and Iván Cantador. Studying the Effect of Data Structures on the Efficiency of Collaborative Filtering Systems. Proceedings of the 4th Spanish Conference on Information Retrieval (CERI '16). Granada, Spain, June 2016. ACM, article 8, 4 pages, ISBN 978-1-4503-4141-7. CORE 2014: rank NA. GGS 2015: class NA, rating NA. Citations: ACM, Google Scholar, Scopus. DOI: 10.1145/2934732.2934747. PDF Source
  24. Alan Said and Alejandro Bellogín. Comparative Recommender System Evaluation: Benchmarking Recommendation Frameworks. Proceedings of the 8th ACM Conference on Recommender Systems (RecSys 2014). San Jose, CA, USA, October 2014. ACM, pp. 129-136, ISBN 978-1-4503-2668-1. CORE 2013: rank B. GGS 2015: class 3, rating B-. Citations: ACM, Google Scholar, Scopus. DOI: 10.1145/2645710.2645746. PDF
  25. Soude Fazeli, Babak Loni, Alejandro Bellogín, Hendrik Drachsler, and Peter Sloep. Implicit vs. Explicit Trust in Social Matrix Factorization. Proceedings of the 8th ACM Conference on Recommender Systems (RecSys 2014). San Jose, CA, USA, October 2014. ACM, pp. 317-320, ISBN 978-1-4503-2668-1. CORE 2013: rank B. GGS 2015: class 3, rating B-. Citations: ACM, Google Scholar, Scopus. DOI: 10.1145/2645710.2645766. PDF
  26. Alan Said and Alejandro Bellogín. RiVal -- A Toolkit to Foster Reproducibility in Recommender System Evaluation. Proceedings of the 8th ACM Conference on Recommender Systems (RecSys 2014). San Jose, CA, USA, October 2014. ACM, pp. 371-372, ISBN 978-1-4503-2668-1. CORE 2013: rank B. GGS 2015: class 3, rating B-. Citations: ACM, Google Scholar, Scopus. DOI: 10.1145/2645710.2645712. PDF
  27. Alejandro Bellogín, Alan Said, Arjen P. de Vries. The Magic Barrier of Recommender systems \96 No Magic, Just Ratings. Proceedings of the 22nd Conference on User Modeling, Adaptation, and Personalization (UMAP 2014). Aalborg, Denmark, July 2014. Lecture Notes in Computer Science, vol. 8538, pp. 25-36. Ed. Springer-Verlag, ISBN 978-3-319-08785-6. CORE 2013: rank B. GGS 2015: class 3, rating B. Citations: Google Scholar, Scopus, Web of Science. DOI: 10.1007/978-3-319-08786-3_3 PDF
  28. Alejandro Bellogín, Thaer Samar, Arjen P. de Vries, Alan Said. Challenges on Combining Open Web and Dataset Evaluation Results: The Case of the Contextual Suggestion Track. Proceedings of the 36th European Conference on Information Retrieval (ECIR 2014). Amsterdam, The Netherlands, April 2014. Lecture Notes in Computer Science, vol. 8416, pp. 430-436. Ed. Springer-Verlag, ISBN 978-3-319-06027-9. CORE 2013: rank B. GGS 2015: class 3, rating B. Citations: Google Scholar, Scopus. DOI: 10.1007/978-3-319-06028-6_37 PDF  Poster
  29. Katja Hofmann, Anne Schuth, Alejandro Bellogín, Maarten de Rijke. Effects of Position Bias on Click-Based Recommender Evaluation. Proceedings of the 36th European Conference on Information Retrieval (ECIR 2014). Amsterdam, The Netherlands, April 2014. Lecture Notes in Computer Science, vol. 8416, pp. 624-630. Ed. Springer-Verlag, ISBN 978-3-319-06027-9. CORE 2013: rank B. GGS 2015: class 3, rating B. Citations: Google Scholar, Scopus. DOI: 10.1007/978-3-319-06028-6_67 PDF Poster
  30. Alan Said, Alejandro Bellogín, Jimmy Lin, Arjen P. de Vries. Do Recommendations Matter? News Recommendation in Real Life Proceedings of the Computer Supported Cooperative Work and Social Computing (CSCW 2014). Baltimore, MA, USA, February 2014. ACM, pp. 237-240, ISBN 978-1-4503-2541-7. CORE 2013: rank A. GGS 2015: class 1, rating A+. Citations: ACM, Google Scholar, Scopus. DOI: 10.1145/2556420.2556510. PDF Poster
  31. Alejandro Bellogín, Javier Parapar, and Pablo Castells. Probabilistic Collaborative Filtering with Negative Cross Entropy. Proceedings of the 7th ACM Conference on Recommender Systems (RecSys 2013). Hong Kong, China, October 2013. ACM, pp. 387-390. New York, USA, ISBN 978-1-4503-2409-0. CORE 2010: rank B. GGS 2015: class 3, rating B-. Citations: ACM, Google Scholar, Scopus. DOI: 10.1145/2507157.2507191. PDF  Poster
  32. Alejandro Bellogín and Arjen P. de Vries. Understanding Similarity Metrics in Neighbour-based Recommender Systems Proceedings of the 4th International Conference on the Theory of Information Retrieval (ICTIR 2013). Copenhagen, Denmark, October 2013. ACM, pp. 48-55. New York, USA, ISBN 978-1-4503-2107-5. CORE 2010: rank NA. GGS 2015: class NA, rating NA. Citations: Google Scholar, Scopus. DOI: 10.1145/2499178.2499186. PDF Slides
  33. Alan Said, Alejandro Bellogín, Arjen P. de Vries, and Benjamin Kille. Information Retrieval and User-Centric Recommender System Evaluation Extended proceedings of the 21st Conference on User Modeling, Adaptation, and Personalization (UMAP 2013). Rome, Italy, June 2013. CORE 2010: rank B. GGS 2015: class 3, rating B. Citations: Google Scholar, Scopus. DOI: urn:nbn:de:0074-997-7. PDF Poster
  34. Pedro G. Campos, Alejandro Bellogín, Iván Cantador, and Fernando Díez. Time-Aware Evaluation of Methods for Identifying Active Household Members in Recommender Systems Proceedings of the 15th Conference of the Spanish Association for Artificial Intelligence (CAEPIA 2013). Madrid, Spain, September 2013. Lecture Notes in Computer Science, vol. 8109, pp. 22-31. Ed. Springer-Verlag, ISBN 978-3-642-40643-0. CORE 2010: rank NA. GGS 2015: class NA, rating NA. Citations: Google Scholar, Scopus, Web of Science. DOI: 10.1007/978-3-642-40643-0_3. PDF
  35. Miguel Martinez-Alvarez, Alejandro Bellogín, and Thomas Roelleke. Document Difficulty Framework for Semi-Automatic Text Classification Proceedings of the 15th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2013). Prague, Czech Republic, August 2013. Lecture Notes in Computer Science, vol. 8057, pp. 110-121. Ed. Springer-Verlag, ISBN 978-3-642-40131-2. CORE 2010: rank B. GGS 2015: class 3, rating B. Citations: ACM, Google Scholar, Scopus. DOI: 10.1007/978-3-642-40131-2_10. PDF
  36. Alejandro Bellogín, Arjen P. de Vries, and Jiyin He. Artist popularity: do web and social music services agree? Proceedings of the 7th International AAAI Conference on Weblogs and Social Media (ICWSM 2013). Boston, USA, July 2013. The AAAI Press, ISBN 978-1-57735-610-3. CORE 2010: rank NA. GGS 2015: class W, rating W. Citations: Google Scholar, Scopus. Available here. PDF  Poster Source and data
  37. Alejandro Bellogín, Pablo Castells, and Iván Cantador. Improving Memory-Based Collaborative Filtering by Neighbour Selection based on User Preference Overlap. Proceedings of the 10th International Conference in the RIAO series, Open Research Areas in Information Retrieval (OAIR 2013), pp. 145-148. Lisbon, Portugal, May 2013. ACM, ISBN 978-2-905450-09-8. CORE 2010: rank NA. GGS 2015: class NA, rating NA. Citations: ACM, Google Scholar. Available here. PDF 
  38. Pedro G. Campos, Alejandro Bellogín, Fernando Díez, and Iván Cantador. Time Feature Selection for Identifying Active Household Members. Proceedings of the 21st ACM Conference on Information and Knowledge Management (CIKM 2012). Maui, Hawaii, USA, October 2012. ACM, pp. 2311-2314. New York, USA, ISBN 978-1-4503-1156-4. CORE 2010: rank A. GGS 2015: class 2, rating A. Citations: ACM, Google Scholar, Scopus. DOI: 10.1145/2396761.2398628. PDF 
  39. Alejandro Bellogín and Javier Parapar. Using Graph Partitioning Techniques for Neighbour Selection in User-Based Collaborative Filtering. Proceedings of the 6th ACM Conference on Recommender Systems (RecSys 2012). Dublin, Ireland, September 2012. ACM, pp. 213-216. New York, USA, ISBN 978-1-4503-1270-7. Best Short Paper Award (in ACM) CORE 2010: rank B. GGS 2015: class 3, rating B-. Citations: ACM, Google Scholar, Scopus. DOI: 10.1145/2365952.2365997. PDF Poster Poster slam
  40. Alejandro Bellogín, Jun Wang, and Pablo Castells. Structured Collaborative Filtering. Proceedings of the 20th ACM Conference on Information and Knowledge Management (CIKM 2011). Glasgow, UK, October 2011. ACM, pp. 2257-2260. New York, USA, ISBN 978-1-4503-0717-8. CORE 2010: rank A. GGS 2015: class 2, rating A. Citations: ACM, Google Scholar, Scopus. DOI: 10.1145/2063576.2063940. PDF Poster
  41. Alejandro Bellogín, Pablo Castells, and Iván Cantador. Precision-Oriented Evaluation of Recommender Systems: An Algorithmic Comparison. Proceedings of the 5th ACM Conference on Recommender Systems (RecSys 2011). Chicago, IL, USA, October 2011. ACM, pp. 333-336. New York, USA, ISBN 978-1-4503-0683-6. CORE 2010: rank B. GGS 2015: class 3, rating B-. Citations: ACM, Google Scholar, Scopus. DOI: 10.1145/2043932.2043996. PDF Poster Poster slam Source
  42. Alejandro Bellogín. Predicting Performance in Recommender Systems. Proceedings of the 5th ACM Conference on Recommender Systems (RecSys 2011). Chicago, IL, USA, October 2011. ACM, pp. 371-374. New York, USA, ISBN 978-1-4503-0683-6. CORE 2010: rank B. GGS 2015: class 3, rating B-. Citations: ACM, Google Scholar, Scopus. DOI: 10.1145/2043932.2044009. PDF Slides Poster Poster slam
  43. Alejandro Bellogín, Pablo Castells, and Iván Cantador. Predicting the Performance of Recommender Systems: An Information Theoretic Approach. Proceedings of the 3rd International Conference on the Theory of Information Retrieval (ICTIR 2011). Bertinoro, Italy, September 2011. Lecture Notes in Computer Science, vol. 6931, pp. 27-39. Ed. Springer-Verlag, ISBN 978-3-642-23318-0. CORE 2010: rank NA. GGS 2015: class NA, rating NA. Citations: ACM, Google Scholar, Scopus, Web of Science. DOI: 10.1007/978-3-642-23318-0_5 PDF Slides
  44. Iván Cantador, Alejandro Bellogín, Ignacio Fernández-Tobías, Sergio López-Hernández. Semantic Contextualisation of Social Tag-based Profiles and Item Recommendations. Proceedings of the 12th International Conference on Electronic Commerce and Web Technologies (EC-WEB 2011). Toulouse, France, August 2011. Lecture Notes in Business Information Processing, vol. 85, pp. 101-113. Ed. Springer-Verlag, ISBN 978-3-642-23013-4. CORE 2010: rank B. GGS 2015: class 3, rating B-. Citations: Google Scholar, Scopus, Web of Science. DOI: 10.1007/978-3-642-23014-1_9 PDF
  45. Alejandro Bellogín, Pablo Castells, and Iván Cantador. Self-adjusting Hybrid Recommenders Based on Social Network Analysis. Proceedings of the 34th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2011). Beijing, China, July 2011. ACM, pp. 1147-1148. New York, USA, ISBN 978-1-4503-0757-4. CORE 2010: rank A. GGS 2015: class 1, rating A++. Citations: ACM, Google Scholar, Scopus. DOI: 10.1145/2009916.2010092 PDF Poster
  46. Iván Cantador, Alejandro Bellogín. Competition based on Cooperative Learning as a Group Activity in the Classroom [in Spanish]. Proceedings of the 1st International Congress on Teaching Innovation (CIID 2011). Cartagena, Spain, July 2011. Ed. Universidad Politécnica de Cartagena, ISBN 978-84-694-5333-9. CORE 2010: rank NA. GGS 2015: class NA, rating NA. Citations: Google Scholar. URI: http://hdl.handle.net/10317/2226 PDF
  47. Ignacio Fernández-Tobías, Iván Cantador, Alejandro Bellogín. Semantic Disambiguation and Contextualisation of Social Tags. Advances in User Modeling perspectives - selected papers from UMAP 2011 workshops. Proceedings of the 19th User Modeling, Adaptation and Personalization (UMAP 2011). Girona, Spain, July 2011. Lecture Notes in Computer Science, vol. 7138, pp. 181-197. Ed. Springer-Verlag, ISBN 978-3-642-28509-7. CORE 2010: rank B. GGS 2015: class 3, rating B. Citations: ACM, Google Scholar, Scopus. DOI: 10.1007/978-3-642-28509-7_18 PDF
  48. Alejandro Bellogín. Performance Prediction in Recommender Systems. Proceedings of the 19th User Modeling, Adaptation and Personalization (UMAP 2011). Girona, Spain, July 2011. Lecture Notes in Computer Science, vol. 6787, pp. 401-404. Ed. Springer-Verlag, ISBN 978-3-642-22362-4_37. CORE 2010: rank B. GGS 2015: class 3, rating B. Citations: ACM, Google Scholar, Scopus, Web of Science. DOI: 10.1007/978-3-642-22362-4_37 PDF Slides
  49. Alejandro Bellogín, Jun Wang, and Pablo Castells. Text Retrieval Methods for Item Ranking in Collaborative Filtering. Proceedings of the 33rd European Conference on Information Retrieval (ECIR 2011). Dublin, Ireland, April 2011. Lecture Notes in Computer Science, vol. 6611, pp. 301-306. Ed. Springer-Verlag, ISBN 978-3-642-20160-8. CORE 2010: rank B. GGS 2015: class 3, rating B. Citations: ACM, Google Scholar, Scopus, Web of Science. DOI: 10.1007/978-3-642-20161-5_30 PDF Slides
  50. Iván Cantador, Alejandro Bellogín, and David Vallet. Content-based Recommendation in Social Tagging Systems. Proceedings of the 4th ACM Conference on Recommender Systems (RecSys 2010). Barcelona, Spain, September 2010. ACM, pp. 237-240. New York, USA, ISBN 978-1-60558-906-0. CORE 2010: rank B. GGS 2015: class 3, rating B-. Citations: ACM, Google Scholar, Scopus. DOI: 10.1145/1864708.1864756 PDF
  51. Alejandro Bellogín and Pablo Castells. A Performance Prediction Approach to Enhance Collaborative Filtering Performance. Proceedings of the 32nd European Conference on Information Retrieval (ECIR 2010). Milton Keynes, UK, March 2010. Lecture Notes in Computer Science, vol. 5993, pp. 382-393. Ed. Springer-Verlag, ISBN 978-3-642-12275-0_34. CORE 2010: rank B. GGS 2015: class 3, rating B. Citations: ACM, Google Scholar, Scopus, Web of Science. DOI: 10.1007/978-3-642-12275-0_34 PDF Slides
  52. Alejandro Bellogín and Pablo Castells. Predicting Neighbor Goodness in Collaborative Filtering. Proceedings of the 8th International Conference on Flexible Query Answering Systems (FQAS 2009). Roskilde, Denmark, October 2009. Lecture Notes in Computer Science, vol. 5822, pp. 605-616. Ed. Springer-Verlag, ISBN 978-3-642-04956-9. CORE 2008: rank C. GGS 2015: class W, rating W. Citations: ACM, Google Scholar, Scopus, Web of Science. DOI: 10.1007/978-3-642-04957-6_52 PDF Slides
  53. Iván Cantador, Alejandro Bellogín, Pablo Castells. Ontology-based Personalised and Context-aware Recommendations of News Items. Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2008), pp. 562-565. Sydney, Australia, December 2008. IEEE Computer Society Press, ISBN 978-0-7695-3496-1. CORE 2007: rank B. GGS 2015: class 3, rating B. Citations: ACM, Google Scholar, Scopus. DOI: 10.1109/WIIAT.2008.204 PDF
  54. Iván Cantador, Alejandro Bellogín, Pablo Castells. News@hand: A Semantic Web Approach to Recommending News. Proceedings of the 5th International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems (AH 2008). Hannover, Germany, July 2008. Lecture Notes in Computer Science, vol. 5149, pp. 279-283. Ed. Springer-Verlag, ISBN 978-3-540-70984-8. CORE 2007: rank A. GGS 2015: class 3, rating B. Citations: ACM, Google Scholar, Scopus, Web of Science. DOI: 10.1007/978-3-540-70987-9_34 PDF

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