bias collaborative filtering collaborative systems contact recommendation context diversity ensembles evaluation finance group recommendation hybrid recommendation implicit feedback 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 probabilistic models rank aggregation rank fusion recommender systems relation extraction semantic search semantics social networks time web search web services
2011 |
| A. Bellogín, I. Cantador, P. Castells, Á. Ortigosa. Discerning Relevant Model Features in a Content-based Collaborative Recommender System. In J. Fürnkranz, E. Hüllermeier (Eds.): Preference Learning. Springer Verlag, 2011, ISBN: 978-3-642-14124-9, pp. 429-456. |