Abstract:

daptive Web site construction based on Web mining could improve the service quality for users. The adaptive Web site general framework is proposed. A detailed analysis is made for main modules of the framework, including data preprocessing, data mining, page recommendation and site adjustment. An effective algorithm of user access patterns identification is proposed in data mining module. The algorithm utilizes database query to simplify the find of the most frequent access paths set, and then forms a frequency access patterns map preparing for page recommendation and site adjustment. Finally, the adaptive Web site design principles are proposed.

Key words: daptive Web site, frequency access paths map, page recommendation, site adjustment, data ming, Web logs