Introduction to intelligent techniques for web personalization

被引：13

作者：

Anand, Sarabjot Singh ^{[1
]}

Mobasher, Bamshad ^{[2
]}

机构：

[1] Univ Warwick, Coventry CV4 7AL, W Midlands, England

[2] Depaul Univ, Chicago, IL 60604 USA

来源：

ACM TRANSACTIONS ON INTERNET TECHNOLOGY | 2007年 / 7卷 / 04期

关键词：

(Edited Abstract);

D O I：

10.1145/1278366.1278367

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Various studies conducted in the field of intelligent techniques for Web personalization achieved through the implementation of different phases of data mining are presented. A study focuses on use of clickthrough data to learn user preferences to adapt search engine result ranking, and concludes that the approach to search engine personalization provides data accuracy. SearchGuide, a Web search support system derives search results to a user by considering the collective interests of a group of users through collaborative Web search. The integration of navigation trails with data about the hyperlink structure of a Web site improves the quality of personalization achieved. The studies also focus on generating semantic user profiles for use in personalization and improve the accuracy of the resulting personalization.

引用

页数：4

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