Optimal Web site reorganization considering information overload and search depth

Chang Chun Lin*

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

30 Scopus citations


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.

Original languageEnglish
Pages (from-to)839-848
Number of pages10
JournalEuropean Journal of Operational Research
Issue number3
StatePublished - 16 09 2006
Externally publishedYes


  • Adaptive Web site
  • Combinatorial optimization
  • Web site reorganization
  • Web usage mining


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