Eigentaste: An Efficient Algorithm For Recommender Systems
Efficient and effective personalized information retrieval. Multiple types of products, services, or data without customization for each type.Avoids semantic categories byrelying solely upon numerical ratings.Each content block and each user is treated as a"black box" to which statistical pattern recognition techniques are applied.
Recommendation of diverse content, such as books, movies, toys, stocks, and music.
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Patent Number: US6606624B1
Application Number: US1999467447A
Inventor: Goldberg, Kenneth Y.
Priority Date: 13 Aug 1999
Priority Number: US6606624B1
Application Date: 20 Dec 1999
Publication Date: 12 Aug 2003
IPC Current: G06F001700 | G06F001730 | G06N000500
US Class: 001001 | 707006 | 706045 | 707999006 | 707E17109
Assignee Applicant: The Regents of the University of California
Title: Apparatus and method for recommending to an individual selective information contained within a computer network
Usefulness: Apparatus and method for recommending to an individual selective information contained within a computer network
Summary: For recommending selective information such as jokes, books, movies, stocks, toys, gifts, records, music and advertisements, to client terminals such as standard computer through Internet.
Novelty: Internet based information provision method e.g. for books, involves converting multi-dimensional preference data of users into lower dimensional data using principal component analysis during off-line phase
信息和通信技术/电信
资讯科技
6606624
Tech ID/UC Case 16886/2000-010-0 Related Cases 2000-010-0
美国
