artificial intelligence automatic disambiguation collaborative filtering collaborative systems context diversity e-Learning evaluation finance group recommendation hybrid recommendation information extraction information retrieval information retrieval models machine learning metasearch metrics multimedia retrieval network monitoring news retrieval nlp novelty performance prediction personalization rank aggregation rank fusion recommendation recommender systems relation extraction semantic search semantics social networks social web speech recognition survey time time-aware video recommendation web search web services
|S. Vargas, P. Castells. Improving Sales Diversity By Recommending Users to Items. 8th ACM Conference on Recommender Systems (RecSys 2014). Foster City, CA, USA, October 2014.|
Novelty and Diversity Enhancement and Evaluation in Recommender Systems and Information Retrieval.
37th International ACM SIGIR Conference on Research & Development in Information Retrieval (SIGIR 2014), Doctoral Consortium. Gold Coast, Australia, July 2014.
|A. Bellogín, I. Cantador, P. Castells. A Comparative Study of Heterogeneous Item Recommendations in Social Systems. Information Sciences 221(1), February 2013, pp. 142-169.|
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.
|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.|