WEB user interest extraction and applied research in universities

During the information age, as far as teachers and students in colleges and universities are concerned, more and more learning, research and entertainment are realized by way of network. There are many user behavioral models and habits in the weblog. This thesis, based on web text mining, puts forward an interest mining system for university campus network user. Firstly, it introduces the system structures. Secondly, it puts emphasis on the introduction of the key techniques of this system. Finally, it introduces the practical effectiveness of this system. The experiment indicates that this method can do a good job on the mining of the distribution of the interest concerning university campus network users and has important reference value for university reforms and individual commercial services.