Research of Analysis of User Behavior Based on Web Log

This paper first introduces the theory and knowledge related to Web logs, and then introduces a Web log mining process. As to this article is based on Web log processing, we draw valid user data according to a specific website users´ access data through the preprocessing, and then research and analyze the users behaviors. The work can provide a theoretical basis for the management and optimization of the site for site managers. Experiments have showed that the work is effective.