Research of Personalization for e-business web based on the clustering coefficient partition algorithm

There exists drastic conflict between abundant, out-of-order information of internet and limited, single demand of users, so the idea of personalization information server is introduced into solving the conflict, and it also brings forward a kind of new server idea and model. The paper researches application of the clustering coefficient partition algorithm for e-business web personalization, the experiment result shows that such a technique can be applied into finding users' potential behavior, modifying design of web link structure, providing personal server for different users. In the process of users' browsing web, if users' behavior has pertinence, cost of time, spirit, and physical strength can economize, and so the users' total cost can be economized.