Publications

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2020

E. K. Mena, R. Cañamares, P. Castells, Y. Ren, M. Sanderson. Agreement and Disagreement between True and False-Positive Metrics in Recommender Systems Evaluation. 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020). Xian, China, July 2020.

(BibTeX | Tags: recommender systems, metrics, evaluation, popularity, bias, non-random missing data, false positive)

2018

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.
Poster

(BibTeX | Tags: recommender systems, evaluation, popularity, information retrieval theory, bias, non-random missing data)

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

(BibTeX | Tags: recommender systems, evaluation, information retrieval, popularity, information retrieval theory, bias, non-random missing data)

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