The Investigation for Web User Clustering Based on Interest

被引：0
|
作者：
Zheng, Wei [1 ]
Zhang, Minxia [1 ]
机构：
[1] ZheJiang Univ Technol, Coll Comp Sci & Technol, Hangzhou, Zhejiang, Peoples R China
来源：
2011 INTERNATIONAL CONFERENCE ON ELECTRONICS, COMMUNICATIONS AND CONTROL (ICECC) | 2011年
关键词：
browsing interests; similarity; user clustering;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
It is a key aspect of Web mining to cluster users in terms of browsing interests on Web. The page content and the interests browsing path are taken into account in the measurement of browsing. Thereafter, a new method is brought forth to calculate similarity of interests and users are clustered by using a threshold lambda. The result of this experiment shows that the new method can efficiently improve precision of clustering.
引用
收藏
页码：553 / 556
页数：4
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