collaborative filtering collaborative systems context diversity evaluation finance group recommendation hybrid recommendation information extraction information retrieval information retrieval models information retrieval theory machine learning metasearch metrics multimedia retrieval news retrieval nlp novelty P2P performance prediction personalization popularity probabilistic models query aspect rank aggregation rank fusion recommendation recommender systems regular expressions relation extraction relevance feedback semantic annotation semantic search semantics social networks time time features web search 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.