This paper puts forward a new method for constitution of user preference model based on weighted XML data structure, with each node appends weight value for representing users’ personalized information.It also designs a new arithmetic to compare similarity of weighted XML model. Finally, this paper discusses the implementation of personalized product recommendation system based on this user preference model at detail.
*本文系2007年江苏省省属高校自然科学基础研究面上项目“基于Web个性化推荐服务的C to C电子商务平台框架”(项目编号:07KJD520074)和江苏省教育厅“青蓝工程”基金资助项目的研究成果之一。
通讯作者:
李树青
E-mail: leeshuqing@163.com
作者简介: 李树青
引用本文:
李树青. 基于加权XML模型的个性化产品推荐方法*[J]. 现代图书情报技术, 2009, 25(4): 64-69.
Li Shuqing. The Personalized Product Recommendation Method Based on Weighted XML Model. New Technology of Library and Information Service, 2009, 25(4): 64-69.
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