bias collaborative filtering collaborative systems contact recommendation context diversity e-Learning evaluation evaluation methodologies finance group recommendation hybrid recommendation information extraction information retrieval information retrieval models information retrieval theory knn link prediction metasearch metrics multi-armed bandits multimedia retrieval network management 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 web search web services
2019 |
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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. Poster |
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 |