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.
Tags Extraction Semantic Extension Tags Clustering User Classification
Feifei Zhao Qizhi Qiu Wenyan Zhou
Wuhan University of Technology,Wuhan,China
国际会议
湖北咸宁
英文
243-247
2014-11-24（万方平台首次上网日期，不代表论文的发表时间）