Preprocessing and mining web log data for web personalization

被引：0

作者：

Baglioni, M

Ferrara, U

Romei, A

Ruggieri, S

Turini, F

机构：

[1] Univ Pisa, Dipartimento Informat, I-56125 Pisa, Italy

[2] KSolut SpA, I-56017 S Martino Ulmiano, PI, Italy

来源：

AI(ASTERISK)IA 2003: ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS | 2003年 / 2829卷

关键词：

knowledge discovery; web mining; classification;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We describe the web usage mining activities of an on-going project, called ClickWorld(1), that aims at extracting models of the navigational behaviour of a web site users. The models are inferred from the access logs of a web server by means of data and web mining techniques. The extracted knowledge is deployed to the purpose of offering a personalized and proactive view of the web services to users. We first describe the preprocessing steps on access logs necessary to clean, select and prepare data for knowledge extraction. Then we show two sets of experiments: the first one tries to predict the sex of a user based on the visited web pages, and the second one tries to predict whether a user might be interested in visiting a section of the site.

引用

页码：237 / 249

页数：13

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