artificial intelligence bias collaborative filtering collaborative systems content-based recommendation context diversity evaluation finance group recommendation hybrid recommendation information extraction information retrieval information retrieval models information retrieval theory metasearch metrics multimedia retrieval news retrieval nlp non-random missing data novelty performance prediction personalization popularity rank aggregation rank fusion recommender sistems recommender systems regular expressions relation extraction semantic search semantics social networks time user modelling user profile video recommendation 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.