collaborative filtering collaborative systems context diversity evaluation evaluation methodologies expermiental methodology finance group recommendation hci hybrid recommendation implicit feedback information extraction information retrieval information retrieval models metasearch metrics multimedia retrieval network management news retrieval nlp novelty ontology P2P performance prediction personalization rank aggregation rank fusion recommender systems relation extraction relevance feedback semantic search semantics social networks soft links time time features user modelling web search web services
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.|