Mining web data to create online navigation recommendations

被引：5
|
作者：
Velásquez, JD [1 ]
Bassi, A [1 ]
Yasuda, H [1 ]
Aoki, T [1 ]
机构：
[1] Univ Tokyo, Res Ctr Adv Sci & Technol, Tokyo, Japan
来源：
FOURTH IEEE INTERNATIONAL CONFERENCE ON DATA MINING, PROCEEDINGS | 2004年
关键词：
D O I：
10.1109/ICDM.2004.10019
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A system to provide online navigation recommendation for web visitors is introduced. We call visitor the anonymous user i.e., when only data about her/his browsing behavior (web logs) are available. We first apply clustering techniques over a large sample of web data. Next, from the significant patterns that are discovered, a set of rules about how to use them is created Finally, comparing the current web visitor session with the patterns, online navigation recommendations are proposed using the mentioned rules. The system was tested using data from a real web site, showing its effectiveness.
引用
收藏
页码：551 / 554
页数：4
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