A new measure model for web user's interestingness

被引：0
|
作者：
Huang, Long-jun [1 ]
Guo, Bin [1 ]
Lei, Gang [1 ]
Qin, Lei [1 ]
机构：
[1] Jiangxi Normal Univ, Coll Software, Nanchang 330022, Peoples R China
来源：
INFORMATION, MANAGEMENT AND ALGORITHMS, VOL II | 2007年
关键词：
relative confidence; relative stickiness; web user's interestingness; access mining;
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：
The main methods of mining the web user's navigation patterns are based on the association rule, and take the times of the users visited as foundation, which is often of low accuracy. We propose a new measure model for web user's interestingness to solve this problem, which is based on relative confidence and relative stickiness. Then it gives an algorithm for mining user accesses based on this model to mine user navigation patterns precisely and achieve the personalized service in the websites.
引用
收藏
页码：145 / 148
页数：4
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