bias collaborative filtering collaborative systems community detection contact recommendation content-based recommendation context diversity evaluation finance group recommendation hybrid recommendation hybrid recommender systems information extraction information retrieval information retrieval models information retrieval theory knn link prediction metasearch metrics multi-armed bandits 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 soft links speech recognition web services
J. Sanz-Cruzado, P. Castells, E. López.
A Simple Multi-Armed Nearest-Neighbor Bandit for Interactive Recommendation.
13th ACM Conference on Recommender Systems (RecSys 2019). Copenhagen, Denmark, September 2019, pp. 358-362.
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.