action learning bias collaborative filtering collaborative systems contact recommendation context diversity evaluation finance group recommendation hybrid recommendation information extraction information retrieval information retrieval models information retrieval theory knn link prediction machine learning metasearch metrics multimedia retrieval news retrieval nlp non-random missing data novelty performance prediction personalization popularity rank aggregation rank fusion recommender systems relation extraction semantic annotation semantic search semantics social networks time time-aware web search web services
2017 |
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R. Cañamares, P. Castells.
A Probabilistic Reformulation of Memory-Based Collaborative Filtering – Implications on Popularity Biases.
40th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017). Tokyo, Japan, August 2017, pp. 215-224. Slides |