Publications

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2015

P. Castells, N. J. Hurley, S. Vargas. Novelty and Diversity in Recommender Systems. In Francesco Ricci, Lior Rokach, Bracha Shapira (Eds.): Recommender Systems Handbook, 2nd edition. Springer, 2015, ISBN: 978-1-4899-7637-6, pp. 881-918.

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

2014

S. Vargas, L. Baltrunas, A. Karatzoglou, P. Castells. Coverage, Redundancy and Size-Awareness in Genre Diversity for Recommender Systems. 8th ACM Conference on Recommender Systems (RecSys 2014). Foster City, CA, USA, October 2014, pp. 209-216.
Slides | Poster

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

2012

S. Vargas, P. Castells, D. Vallet. On the Suitability of Intent Spaces for IR Diversification. International Workshop on Diversity in Document Retrieval (DDR 2012) at the 5th ACM International Conference on Web Search and Data Mining (WSDM 2012). Seattle, Washington, USA, February 2012.

(BibTeX | Tags: diversity, evaluation, query aspect, information retrieval)

2011

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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