Abstract
In this paper, an approach for reorganizing Web sites based on user access patterns is proposed. The approach consists of three steps: preprocessing, page classification, and site reorganization. In preprocessing, pages on a Web site are processed to create an internal representation of the site, and page access information of its users is extracted from its server log. In page classification, the Web pages on the site are classified into two categories, index pages and content pages, based on the page access information. After the pages are classified, in site reorganization, the Web site is examined to find better ways to organize and arrange the pages on the site. Our experiments on a large real data set show that the approach is efficient and practical for adaptive Web sites.
Recommended Citation
Y. Fu et al., "Reorganizing Web Sites based on User Access Patterns," International Conference on Information and Knowledge Management, Proceedings, pp. 583 - 585, Association for Computing Machinery, Jan 2001.
The definitive version is available at https://doi.org/10.1145/502585.502698
Department(s)
Computer Science
Keywords and Phrases
Access patterns; Adaptive Web wites; Page classification; Site reorganization; Web usage mining
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Association for Computing Machinery, All rights reserved.
Publication Date
01 Jan 2001
