A User Classification Solution Based on Users´ Reviews

With the continuous development of the Internet technology, nowadays personalized service and recommendation technology have been paid more attentions. The paper aims at accurate user classification for tag application systems and proposes the feasible solution which can mine users´ intention in reviews and extend the tag semantics by open knowledge platform. Experiments validate the proposed solution. The research can not only be used as the basis of the users´ interests and preference research, but also can be employed in non-Tag application.