Concept based Personalized Web Search
نویسندگان
چکیده
Existing personalized web search systems does not take into account relevant pages that go unvisited by the user which might be direct answers to the user’s information need. In addition, pages in the result set though not directly relevant to the user’s information need might provide a link to relevant pages. Such links can be identified only by performing semantic analysis. This paper is aimed towards identifying such relevant pages through semantic search path analysis and provides an effective personalized web search. This improves web search by providing content and individual based relation between the search query and its relevant web pages.
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تاریخ انتشار 2010