Publications

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2018

D. Valcarce, A. Bellogín, J. Parapar, P. Castells. On the Robustness and Discriminative Power of IR Metrics for Top-N Recommendation. 12th ACM Conference on Recommender Systems (RecSys 2018). Vancouver, Canada, October 2018, pp. 260-268.

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

R. Cañamares, P. Castells. From the PRP to the Low Prior Discovery Recall Principle for Recommender Systems. 41st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018). Ann Arbor, Michigan, USA. July 2018, pp. 1081-1084.
Poster

(BibTeX | Tags: novelty, recommender systems, metrics, evaluation, information retrieval, popularity, information retrieval theory)

2011

A. Bellogín, P. Castells, I. Cantador. Precision-Oriented Evaluation of Recommender Systems: An Algorithmic Comparison. 5th ACM Conference on Recommender Systems (RecSys 2011). Chicago, Illinois, October 2011, pp. 333-336.

(BibTeX | Tags: recommender systems, metrics, evaluation, experimental methodology)

S. Vargas, P. Castells. Rank and Relevance in Novelty and Diversity Metrics for Recommender Systems. 5th ACM Conference on Recommender Systems (RecSys 2011). Chicago, Illinois, October 2011, pp. 109-116.
Slides

(BibTeX | Tags: novelty, diversity, recommender systems, metrics, evaluation)

S. Vargas, P. Castells, D. Vallet. Intent-Oriented Diversity in Recommender Systems. 34th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2011), Poster Session. Beijing, China, July 2011, pp. 1211-1212.
Poster

(BibTeX | Tags: diversity, recommender systems, metrics, evaluation, information retrieval)

P. Castells, S. Vargas, J. Wang. Novelty and Diversity Metrics for Recommender Systems: Choice, Discovery and Relevance. International Workshop on Diversity in Document Retrieval (DDR 2011) at the 33rd European Conference on Information Retrieval (ECIR 2011). Dublin, Ireland, April 2011.

(BibTeX | Tags: novelty, diversity, recommender systems, metrics, evaluation, information retrieval)

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