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R. Cañamares, P. Castells. On the Optimal Non-Personalized Recommendation: From the PRP to the Discovery False Negative Principle. ACM SIGIR 2017 Workshop on Axiomatic Thinking for Information Retrieval and Related Tasks (ATIR 2017). Tokyo, Japan, August 2017.

(BibTeX | Tags: recommender systems, evaluation, popularity, information retrieval theory, probability ranking principle)

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.

(BibTeX | Tags: evaluation, collaborative filtering, knn, popularity, probabilistic models)

A. Bellogín, P. Castells, I. Cantador. Statistical Biases in Information Retrieval Metrics for Recommender Systems. Information Retrieval 20(6), July 2017, pp. 606-634.

(BibTeX | Tags: recommender systems, evaluation, popularity)

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