A Web Personalization System Based on Users' Interested Domains

被引：8

作者：

Lei, Minxiao ^{[1
]}

Fan, Lisa ^{[1
]}

机构：

[1] Univ Regina, Dept Comp Sci, Regina, SK S4S 0A2, Canada

来源：

PROCEEDINGS OF THE SEVENTH IEEE INTERNATIONAL CONFERENCE ON COGNITIVE INFORMATICS | 2008年

关键词：

personalization; recommendation; interested domains; collaborative filtering;

D O I：

10.1109/COGINF.2008.4639163

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The information on the web is growing dramatically. Without a help system, the users may spend lots of time on the web finding the information they are interested in. Today, many web recommendation systems cannot give users enough personalized help but provide the user with lots of irrelevant information. In this paper, we present a web personalization system, which can find out users' potential interested domains and recommend the web pages relevant to the interests of these web users. This system will also helps users to get the relevant web pages based on their selection from the domain list. Thus, users can obtain a set of interested domains and the web pages from the system.

引用

页码：153 / 159

页数：7