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Reorganizing web sites based on user access patterns

Author

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  • Yongjian Fu
  • Ming‐Yi Shih
  • Mario Creado
  • Chunhua Ju

Abstract

In this paper, an approach for reorganizing Web sites based on user access patterns is proposed. Our goal is to build adaptive Web sites by evolving site structure to facilitate user access. 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. Page access information of its users is extracted from the Web 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. An algorithm for reorganizing Web sites has been developed. Our experiments on a large real data set show that the approach is efficient and practical for adaptive Web sites. Copyright © 2002 John Wiley & Sons, Ltd.

Suggested Citation

  • Yongjian Fu & Ming‐Yi Shih & Mario Creado & Chunhua Ju, 2002. "Reorganizing web sites based on user access patterns," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 11(1), pages 39-53, January.
    • Handle: RePEc:wly:isacfm:v:11:y:2002:i:1:p:39-53
    DOI: 10.1002/isaf.209
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    Cited by:

    1. Lin, Chang-Chun, 2006. "Optimal Web site reorganization considering information overload and search depth," European Journal of Operational Research, Elsevier, vol. 173(3), pages 839-848, September.
    2. Daniel E. O'Leary, 2009. "Downloads and citations in Intelligent Systems in Accounting, Finance and Management," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 16(1‐2), pages 21-31, January.

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