Item-based collaborative filtering recommendation algorithms

WWW 2001
Pages: 285 - 295
Published: Apr 1, 2001
Abstract
Recommender systems apply knowledge discovery techniques to the problem of making personalized recommendations for information, products or services during a live interaction. These systems, especially the k-nearest neighbor collaborative ltering based ones, are achieving widespread success on the Web. The tremendous growth in the amount of available information and the number of visitors to Web sites in recent years poses some key challenges...
Paper Details
Title
Item-based collaborative filtering recommendation algorithms
Published Date
Apr 1, 2001
Journal
Pages
285 - 295
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