action learning bias collaborative filtering collaborative systems contact recommendation context diversity evaluation finance group recommendation hybrid recommendation information extraction information retrieval information retrieval models information retrieval theory link prediction machine learning metasearch metrics multimedia retrieval news retrieval nlp non-random missing data novelty performance prediction personalization popularity query aspect rank aggregation rank fusion recommender systems relation extraction semantic annotation semantic search semantics social networks time time-aware web search web services
2018 |
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R. Cañamares, P. Castells.
Characterization of Fair Experiments for Recommender System Evaluation – A Formal Analysis.
Workshop on Offline Evaluation for Recommender Systems (REVEAL 2018) at the 12th ACM Conference on Recommender Systems (RecSys 2018). Vancouver, Canada, October 2018. Poster |
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R. Cañamares, P. Castells.
Should I Follow the Crowd? A Probabilistic Analysis of the Effectiveness of Popularity in Recommender Systems.
41st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018). Ann Arbor, Michigan, USA, July 2018, pp. 415-424 — best paper award. Slides |