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Toward User-Document Matrix Based User Clustering for Collaborative Recommendation |
Yan Duanwu Luo Shengyang Cheng Xiao |
(School of Economics & Management, Nanjing University of Scienceand Technology,Nanjing 210094, China) |
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Abstract According to the needs of personalized recommendation service and the problem of high-dimension and sparse user-document visited data, an inter-user comparation based dimension reduction method and K-hirachical clustering arithmetic is utilized to analyze the user clustering procedure based on users’ resources evaluation data colloction. On the basis of those, an experimental system of user clustering is also designed and developed by applying Java open source technology.
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Received: 22 January 2007
Published: 25 March 2007
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Corresponding Authors:
Yan Duanwu
E-mail: yanwu_nju@163.com
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About author:: Yan Duanwu,Luo Shengyang,Cheng Xiao |
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