Optimal Web site reorganization considering information overload and search depth [An article from: European Journal of Operational Research]

by C.C. Lin

This digital document is a journal article from European Journal of Operational Research, published by Elsevier in 2006. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.


Adaptive Web sites have been extensively studied as the Internet and Web sites continuously grow. Based on Web usage mining, most of these studies focus on providing assistance to users instead of optimizing the Web site itself. This study proposes 0-1 programming models for reorganizing Web sites based on the cohesion between Web pages obtained by Web usage mining. Additionally, the proposed models reduce the information overload and search depth for users surfing in the Web site. Additionally, a heuristic approach was proposed to reduce the required computation time. The proposed models were verified and extensively tested with numerical examples.

9 pages, ebook

Published September 16, 2006

About the author

C. C. Lin was Institute Professor Emeritus in Applied Mathematics at MIT and Distinguished Professor at Tsinghua University in China.