bias collaborative filtering collaborative systems contact recommendation context diversity evaluation experimental methodology finance graph search group recommendation hybrid recommendation information extraction information retrieval information retrieval models information retrieval theory link prediction metasearch metrics multimedia retrieval network monitoring news retrieval nlp non-random missing data novelty performance prediction personalization popularity rank aggregation rank fusion recommendation recommender systems relation extraction semantic search semantics social networks survey time 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 |