Optimal Web site reorganization considering information overload and search depth

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.