Based On Personal Web Data Mining Model Build

With the development of the Internet and information technology, the problem of "Information Explosion" has arisen, that is, "Rich Data and Poor Information". How to manage the tremendous mount of information on WWW to meet the growing needs of personalized information is a new subject for our research. Personalization has been the focus of research. Personalization, that is to give different service-strategy and different service-content to different user. Knowledge of user interests and describing them by user profiles are the importance. Therefore, the effectiveness of personalize information service provided by the system is determined by the fact whether or not the user profiles refect user interests exactly.After the studying of the key technologies —— web mining technology and modeling user profile, the paper suggests the model of mining user interests. The model is based on user viewed content and combining with analysis of user's behavior. Through analyzing document expressive model, feature extraction and feature weigh value, the web page is been expressed by Vector Space Model.Finally, the paper experiment on experimentation and analyses, prove applied in personalization system.The future work of this paper is applying it into the recommendation, the advanced method discussed above. According to the that tree format interest model is reliable, and can be that developing the validity of user interest model, and applying it into the recommendation.