Fuzzy Clustering Method for Web User Based on Pages Classification

被引：2
|
作者：
ZHAN Li-qiang 1
2.Department of Science of Computer
机构：
来源：
Wuhan University Journal of Natural Sciences | 2004年 / 05期
关键词：
Web log mining; fuzzy similarity matrix; fuzzy comprehensive evaluation; fuzzy clustering;
D O I：
暂无
中图分类号：
TP393 [计算机网络];
学科分类号：
081201 ; 1201 ;
摘要：
A new method for Web users fuzzy clustering based on analysis of user interest characteristic is proposed in this article. The method first defines page fuzzy categories according to the links on the index page of the site, then computes fuzzy degree of cross page through aggregating on data of Web log. After that, by using fuzzy comprehensive evaluation method, the method constructs user interest vectors according to page viewing times and frequency of hits, and derives the fuzzy similarity matrix from the interest vectors for the Web users. Finally, it gets the clustering result through the fuzzy clustering method. The experimental results show the effectiveness of the method.
引用
收藏
页码：553 / 556
页数：4
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