Research And Design Of The Analysis Of User Behavior System Based On Interest Classification

With the quick development of the Internet and the popularization of the computer network, the scale of network users extended gradually, and network user's behavior becomes more and more complicated. Meantime, the profitable websites need to offer more satisfactory service through analysing users' behaviors and hobbies in order to obtain maximum profits. As to nonprofit websites such as government, scientific research institution, need to analyse users for scientific decision-making too. For these reasons, the research and analysis on network users' behaviors becomes more and more important.Web usage mining discovers user profiles while accessing the web pages, by analyzing Web log generated by Web server.By these user profiles, we can know our users better and improve our service to the ultimate users.This paper sets up the concept of network users and users' behavior, then discusses their classification; analyses and compares the data source of network behavior analysis system; Brings forward a new frame prototype of network behavior analysis system, through the analysis of current method of behavior analysis.And designs the data acquisiton module,the date preprocessing module and the interest mining module of the system.Then runs a test on the system and brings forward the possible application of the system.