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» Learning to recommend questions based on user ratings
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SIGIR
2008
ACM
14 years 9 months ago
Hierarchical naive bayes models for representing user profiles
In this paper, we show how a user profile can be enhanced when a more detailed description of the products is included. Two main assumptions have been considered: the first implie...
Juan F. Huete, Luis M. de Campos, Juan M. Fern&aac...
WEBDB
2010
Springer
171views Database» more  WEBDB 2010»
15 years 2 months ago
Improved Recommendations via (More) Collaboration
We consider in this paper a popular class of recommender systems that are based on Collaborative Filtering (CF for short). CF is the process of predicting customer ratings to item...
Rubi Boim, Haim Kaplan, Tova Milo, Ronitt Rubinfel...
WWW
2009
ACM
15 years 4 months ago
Tagommenders: connecting users to items through tags
Tagging has emerged as a powerful mechanism that enables users to find, organize, and understand online entities. Recommender systems similarly enable users to efficiently navig...
Shilad Sen, Jesse Vig, John Riedl
KDD
2004
ACM
156views Data Mining» more  KDD 2004»
15 years 10 months ago
TiVo: making show recommendations using a distributed collaborative filtering architecture
We describe the TiVo television show collaborative recommendation system which has been fielded in over one million TiVo clients for four years. Over this install base, TiVo curre...
Kamal Ali, Wijnand van Stam
CDVE
2007
Springer
115views Visualization» more  CDVE 2007»
15 years 1 months ago
A Document Recommendation System Based on Clustering P2P Networks
: This paper presents a document recommendation system based on clustering peer-to-peer networks. It's an unstructured P2P system. In this system each agent-peer can learn use...
Feng Guo, Shaozi Li