Research of the users´ personalized model in Web mining

After the studying of the key technologies about web mining technology and modeling user profile, the paper did hard in two aspects: clustering based on content, creating the user interest model. The personalized user model was proposed, which oriented single user, combined the user´s manual modeling and system automatic modeling; the Web page personalized recommendation and update algorithm of the user model was discussed. And then some simulation experiments for the user model´s generation were done. Based on the user model, a personalized web mining model that oriented single user was designed, and the frame and the function of each model were described in detail. And the personalized recommendation algorithm was given.