Improved algorithms for topic distillation in a hyperlinked environment
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Probabilistic query expansion using query logs
Proceedings of the 11th international conference on World Wide Web
Proceedings of the 11th international conference on World Wide Web
Scaling personalized web search
WWW '03 Proceedings of the 12th international conference on World Wide Web
Persona: A Contextualized and Personalized Web Search
HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 3 - Volume 3
Concept Based Query Expansion Using WordNet
AST '09 Proceedings of the 2009 International e-Conference on Advanced Science and Technology
A Survey of Automatic Query Expansion in Information Retrieval
ACM Computing Surveys (CSUR)
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The web consists of huge amount of data and search engines provide an efficient way to help navigate the web and get the relevant information. General search engines, however,return query results without considering user's intention behind the query. Personalized web search systems aim to provide relevant results to users by taking user interests into account. In this paper, we proposed a personalized web search system implemented at proxy which adapts to user interests implicitly by constructing user profile with the help of collaborative filtering. A user profile essentially contains probabilistic correlations between query terms and document terms which is used for providing personalized search results. Experimental results show that our proposed personalized web search system is both effective and efficient.