A collaborative filtering recommendation system based on market value functions - 文章详情页

作者：

Huang, Jiajin (Huang, Jiajin.) | Liu, Chunnian (Liu, Chunnian.) | Zhong, Ning (Zhong, Ning.) | Yao, Y.Y. (Yao, Y.Y..) (学者：姚一豫)

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EI Scopus

摘要：

This　paper　presents　a　collaborative　filtering　recommendation　system　combined　with　market　value　functions.　In　the　approach,　by　building　market　value　function　model　for　each　item,　we　can　produce　a　user　rating　information　table.　Then　Collaborative　Filtering　algorithm　can　produce　a　list　of　recommended　items.　Experiment　in　real　world　examples　shows　that　the　method　is　effective.

关键词：

Algorithms Computational complexity Computer supported cooperative work Correlation methods Data reduction Electronic commerce Marketing Problem solving Real time systems

作者机构：

[ 1 ] [Huang, Jiajin]College of Computer, Beijing University of Technology, Beijing Munic. Key Lab. M./I.S.T., Beijing, 100022, China
[ 2 ] [Liu, Chunnian]College of Computer, Beijing University of Technology, Beijing Munic. Key Lab. M./I.S.T., Beijing, 100022, China
[ 3 ] [Zhong, Ning]Dept. of Information Engineering, Maebashi Institute of Technology, 460-1 Kamisadori-Cho, Maebashi-City 371-0816, Japan
[ 4 ] [Yao, Y.Y.]Department of Computer Science, University of Regina, Regina, Sask. S4S 0A2, Canada

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