bias collaborative filtering collaborative systems contact recommendation context diversity evaluation finance group recommendation household member identification hybrid recommendation 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 query expansion rank aggregation rank fusion recommender systems regular expressions relation extraction semantic search semantics social networks time web search web services
P. Castells, R. Cañamares.
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.
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.