automatic disambiguation bias collaborative filtering collaborative systems contact recommendation context diversity evaluation feedback loop finance group recommendation hybrid recommendation information extraction information retrieval information retrieval models information retrieval theory knn link prediction metasearch metrics multi-armed bandits multimedia retrieval news retrieval nlp non-random missing data novelty performance prediction personalization popularity rank aggregation rank fusion recommender systems relation extraction semantic search semantics social networks social web video recommendation web service discovery web services
2014 |
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), March 2014. |
2011 |
A. Bellogín, P. Castells, I. Cantador. Predicting the Performance of Recommender Systems: An Information Theoretic Approach. 3rd International Conference on the Theory of Information Retrieval (ICTIR 2011) - Springer Verlag Lecture Notes in Computer Science, Vol. 6931. Bertinoro, Italy, September 2011, ISBN: 978-3-642-23317-3, pp. 27-39. |
A. Bellogín, P. Castells, I. Cantador. Self-adjusting Hybrid Recommenders Based on Social Network Analysis. 34th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2011). Beijing, China, July 2011, pp. 1147-1148. |
2010 |
A. Bellogín, P. Castells. A Performance Prediction Approach to Enhance Collaborative Filtering Performance. 32nd European Conference on Information Retrieval (ECIR 2010), Springer Verlag Lecture Notes in Computer Science, Vol. 5993. Milton Keynes, UK, May 2010, ISBN: 978-3642122743, pp. 382-393. |
2009 |
A. Bellogín, P. Castells. Predicting Neighbor Goodness in Collaborative Filtering. 8th International Conference on Flexible Query Answering Systems (FQAS 2009), Springer Verlag Lecture Notes in Computer Science, Vol. 5822. Roskilde, Denmark, October 2009, ISBN: 978-3-642-04956-9, pp. 605-616. |