Discovery of a User Interests on the Internet

This paper proposes a system for finding a userpsilas interests on the Internet. It is based on his browsing behaviors and the contents of his visited pages. The system has two features. One is building userpsilas browsing interests implicitly, multiple keyword vectors, one per interest. The other is that it can generate interests by selecting different time periods. Dynamical generation can adapt to the change of user interests. Experiments show that most of generated interests are matched to userpsilas real interests. The system finds their interests automatically and dynamically.