action learning collaborative filtering collaborative systems community detection content-based recommendation context diversity evaluation finance graph search group recommendation household member identification hybrid recommendation implicit feedback information extraction information retrieval information retrieval models information retrieval theory metasearch metrics multimedia retrieval news retrieval nlp novelty performance prediction personalization popularity probability ranking principle query expansion rank aggregation rank fusion recommender systems relation extraction semantic search semantics social networks time web search web service discovery web services
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.