An Iterative Implicit Feedback Approach to Personalized Search

General information retrieval systems are designed to serve all users without considering individual needs. In this paper, we propose a novel approach to personalized search. It can, in a unified way, exploit and utilize implicit feedback information, such as query logs and immediately viewed documents. Moreover, our approach can implement result re-ranking and query expansion simultaneously and collaboratively. Based on this approach, we develop a client-side personalized web search agent PAIR (Personalized Assistant for Information Retrieval), which supports both English and Chinese. Our experiments on TREC and HTRDP collections clearly show that the new approach is both effective and efficient.

[1]  Masatoshi Yoshikawa,et al.  Adaptive web search based on user profile constructed without any effort from users , 2004, WWW '04.

[2]  Yoichi Shinoda,et al.  Information filtering based on user behavior analysis and best match text retrieval , 1994, SIGIR '94.

[3]  ChengXiang Zhai,et al.  Implicit user modeling for personalized search , 2005, CIKM '05.

[4]  Krishna Bharat.  SearchPad: explicit capture of search context to support Web search , 2000, Comput. Networks.

[5]  Martha Sideri,et al.  The Compass Filter: Search Engine Result Personalization Using Web Communities , 2003, ITWP.

[6]  Gerard Salton,et al.  Improving retrieval performance by relevance feedback , 1997, J. Am. Soc. Inf. Sci..

[7]  Clement T. Yu,et al.  Personalized web search by mapping user queries to categories , 2002, CIKM '02.

[8]  Susan T. Dumais,et al.  Personalizing Search via Automated Analysis of Interests and Activities , 2005, SIGIR.

[9]  Stephen E. Robertson,et al.  Relevance weighting of search terms , 1976, J. Am. Soc. Inf. Sci..

[10]  Thorsten Joachims,et al.  Accurately interpreting clickthrough data as implicit feedback , 2005, SIGIR '05.

[11]  Michael McGill,et al.  Introduction to Modern Information Retrieval , 1983 .

[12]  Ryen W. White,et al.  The Use of Implicit Evidence for Relevance Feedback in Web Retrieval , 2002, ECIR.

[13]  Susan Gauch,et al.  Personalizing Search Based on User Search Histories , 2004 .

[14]  Francisco Tanudjaja,et al.  Persona: a contextualized and personalized web search , 2002, Proceedings of the 35th Annual Hawaii International Conference on System Sciences.

[15]  Micheline Hancock-Beaulieu,et al.  Interactive searching and interface issues in the Okapi best match probabilistic retrieval system , 1998, Interact. Comput..

[16]  Donna K. Harman,et al.  Results and Challenges in Web Search Evaluation , 1999, Comput. Networks.

[17]  Hinrich Schütze,et al.  Personalized search , 2002, CACM.

[18]  J. J. Rocchio,et al.  Relevance feedback in information retrieval , 1971 .