Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Journal of the American Society for Information Science and Technology
Collaborative filtering with decoupled models for preferences and ratings
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
ACM Transactions on Information Systems (TOIS)
An automatic weighting scheme for collaborative filtering
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Scalable collaborative filtering using cluster-based smoothing
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Zoomia: filtragem colaborativa de produtos a partir da leitura do código de barras
Proceedings of the VIII Brazilian Symposium on Human Factors in Computing Systems
An empirical study of data smoothing methods for memory-based and hybrid collaborative filtering
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Exploiting rating behaviors for effective collaborative filtering
WISE'06 Proceedings of the 7th international conference on Web Information Systems
Research on content-based text retrieval and collaborative filtering in hybrid peer-to-peer networks
CSCWD'04 Proceedings of the 8th international conference on Computer Supported Cooperative Work in Design I
Research on mobile agent based information content-sharing in peer to peer system
CDVE'05 Proceedings of the Second international conference on Cooperative Design, Visualization, and Engineering
An effective recommendation method for cold start new users using trust and distrust networks
Information Sciences: an International Journal
Bridging memory-based collaborative filtering and text retrieval
Information Retrieval
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Collaborative filtering is a technique for recommending documents to users based on how similar their tastes are to other users. If two users tend to agree on what they like, the system will recommend the same documents to them. The generalized vector space model of information retrieval represents a document by a vector of its similarities to all other documents. The process of collaborative filtering is nearly identical to the process of retrieval using GVSM in a matrix of user ratings. Using this observation, a model for filtering collaboratively using document content is possible.