A search ranking algorithm based on user preferences

作     者：Zhao, Dexin Zhang, Meizhen Zhang, Degan 

作者机构：Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin 300384 China Tianjin Key Laboratory of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin 300384 China 

出 版 物：《Journal of Computational Information Systems》 (J. Comput. Inf. Syst.)

年 卷 期：2012年第8卷第21期

页      面：8969-8976页

核心收录：

主　　题：Websites 

摘      要：To investigate search ranking method for providing good service to users, the original PageRank algorithm model was studied to describe the hyperlink relationship based on Web pages. It was computed with a single vector using the hyperlink structure to improve the ranking of search query results. However, more and more topics are being discussed on the Web and the vocabulary of users remains relatively stable, the search engine usually returns the same results to users who enter the same keyword, which might not be related to each user s preference. A new method named UPPM based on user preferences was proposed. It was supposed to optimize initial query with user s query logs that including his click history and feedback, and the search results were reordered for particular user s need with updated query. The experiment shows that the new method can understand user s search subject behind his query and improve ordering of top results in the real Web search. © 2012 Binary Information Press.