A Method for User Behavior Modeling Based on Web Page Metadata

Jun Liu, Qinghua Zheng, Franky Chan

Abstract: The current behavior models of Web user are difficult to describe the semantic information of behavior. Most of them are only used to improve the performance of Web sites. To resolve the issue, a hierarchy metamodel of user behavior and a method for user behavior modeling are proposed in this paper. Based on the metadata of pages, the method can build a behavior model of Web user from three layers, i.e., URL access, activity and session. The behavior models generated by the method lay the foundation for acquiring the semantic characteristics of user behaviors. The method has been tested in our Web-based distance learning system, and it has been proved effective in describing the semantics of Web user's behavior