Preference structure and similarity measure in tag-based recommender systems - 文章详情页

作者：

Yuan, Xi (Yuan, Xi.) | Huang, Jia-Jin (Huang, Jia-Jin.) | Zhong, Ning (Zhong, Ning.)

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摘要：

Social　tagging　systems　extend　recommender　systems　from　the　pair　(user,　item)　to　(user,　item,　tag).　This　paper　discusses　the　framework　of　similarity　measure　on　(user,　item,　tag)　from　qualitative　and　quantitative　perspectives.　The　qualitative　measure　makes　use　of　the　preference　structure　relation　on　(user,　item,　tag),　and　the　quantitative　measure　makes　use　of　reflection　on　(user,　item,　tag).　The　k　nearest　neighbors　and　reverse　k′　nearest　neighbors　are　used　to　generate　recommendations.　©　Springer　International　Publishing　2013.

关键词：

Recommender systems Nearest neighbor search

作者机构：

[ 1 ] [Yuan, Xi]International WIC Institute, Beijing University of Technology, China Department of Life Science and Informatics, Maebashi Institute of Technology, Maebashi 371-0816, Japan
[ 2 ] [Huang, Jia-Jin]International WIC Institute, Beijing University of Technology, China Department of Life Science and Informatics, Maebashi Institute of Technology, Maebashi 371-0816, Japan
[ 3 ] [Zhong, Ning]International WIC Institute, Beijing University of Technology, China Department of Life Science and Informatics, Maebashi Institute of Technology, Maebashi 371-0816, Japan

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