System and methods for collaborative recommendations

作者: Eric A. Benson , Jennifer A. Jacobi

DOI:

关键词: Process (engineering)Recommendation serviceCollaborative filteringWorld Wide WebInformation retrievalComputer scienceService (business)Web site

摘要: A recommendation service is disclosed which uses collaborative filtering techniques to recommend books users of a Web site. The site includes catalog the various titles that can be purchased via database have previously been rated and therefore recommended by using methods. At least initially, title categories (genres) are included within this (and thus service) respective subsets catalog. As browse read about contained catalog, presented with option rating specific titles, including not currently service. ratings information obtained from process used automatically add new breadth covered grows over time, without need for system administrators manually collect input data. To establish profiles service, presents startup list asks rate certain number on list. increase likelihood will familiar these generates identifying most popular, such as preceding week.

参考文章(9)
Arnold Blinn, Michael Lorton, Gregory J. Stein, Michael Ari Cohen, Electronic shopping and merchandising system ,(1996)
Akihiro Yoshida, Ryouji Kawabe, Kazumi Rissen, Kay Yonezawa, Shopping basket presentation method for an online shopping system ,(1999)
Upendra Shardanand, Pattie Maes, Social information filtering: algorithms for automating “word of mouth” human factors in computing systems. pp. 210- 217 ,(1995) , 10.1145/223904.223931
Alexander Chislenko, Yezdesard Z. Lashkari, John E. Mcnulty, Method and apparatus for item recommendation using automated collaborative filtering ,(1996)
David Maxwell Chickering, Eric Horvitz, David E. Heckerman, John S. Breese, Collaborative filtering utilizing a belief network ,(1996)