Design and Realization of Personalized Service in Electronic Commerce

被引：0
|
作者：
Liu Xiao-Liang [1 ]
机构：
[1] Hebei Univ Econ & Business, Dept Business, Shijiazhuang, Hebei, Peoples R China
来源：
2009 2ND IEEE INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY, VOL 4 | 2009年
关键词：
electronic commerce; collaborative clustering; personalized service;
D O I：
10.1109/ICCSIT.2009.5234605
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Classical collaborative filtering recommendation is the most successful recommendation algorithm in electronic commerce system application. However, along with the continuous increase of site structure, content complexity and user number, data is extremely sparse and the real-time property and recommendation accuracy of algorithm decrease significantly, even no any commodity can be recommended. This paper classifies the users in electronic commerce by collaborative clustering and carries out different page recommendations for different types of users to realize the personalized service in electronic commerce.
引用
收藏
页码：29 / 33
页数：5
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