action learning bias clustering collaborative filtering collaborative systems context context-aware diversity evaluation feature selection 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 systems relation extraction semantic search semantics social networks time trec web search web service discovery web services xbrl
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 |