Adaptive Web Sites by Web Usage Mining

An approach for reorganizing a Web site based on user access patterns is proposed. The Web server's log les and the Web pages on the site are rst preprocessed to obtain the access statistics of the Web pages and the links among the pages. Using the access information, the Web pages are classi ed into two major categories: index pages and content pages. The Web site is evaluated and a reorganization of the Web site is presented based on the access information. Our experiments on a large real data set show that the approach is e cient and practical for adaptive Web sites.

• Type: Conference
• Year: 2001
• Where: IC
• Authors: Yongjian Fu, Mario Creado, Ming-Yi Shih
• Keywords: IC 2001, IC 2007, Web Pages, Web Server Log, Web Sites