Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Communications of the ACM
PHOAKS: a system for sharing recommendations
Communications of the ACM
Referral Web: combining social networks and collaborative filtering
Communications of the ACM
Fab: content-based, collaborative recommendation
Communications of the ACM
Siteseer: personalized navigation for the Web
Communications of the ACM
GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
Recommender systems for evaluating computer messages
Communications of the ACM
A statistical approach to mechanized encoding and searching of literary information
IBM Journal of Research and Development
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We propose TwinFinder: a recommender system for an on-line bookstore. TwinFinder provides two recommendation methods, the Order-Matching Method (OMM) and the Cross-Matching Method (CMM). TwinFinder profiles a customer's interest based on his/her purchase history. Thus, it generates a vector of keywords from titles, authors, synopses, and categories of books purchased. OMM keeps this vector to each category the books belong to. Thus, OMM avoids recommending books that share only one or two keywords but belong to the categories in which the customer has no interest. When a customer has purchased several books that range over two or more categories, TwinFinder generates recommendations based on CMM. CMM looks for books in a category based on the keywords generated from the purchased books in other categories. Thus, TwinFinder can generate rather useful and surprising recommendations by OMM and CMM. We have implemented and validated TwinFinder in the e-business system of a bookstore in Japan.