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A Document Summary System based on Personalized Web Search Systems  

Kim, Dong-Wook (한양대학교 전자컴퓨터통신공학과)
Kang, Soo-Yong (한양대학교 컴퓨터공학부)
Kim, Han-Joon (서울시립대학교 전자전기컴퓨터공학부)
Lee, Byung-Jeong (서울시립대학교 컴퓨터과학부)
Chang, Jae-Young (한성대학교 컴퓨터과학부)
Publication Information
Journal of Digital Contents Society / v.11, no.3, 2010 , pp. 357-365 More about this Journal
Abstract
Personalized web search engine provides personalized results to users by query expansion, re-ranking or other methods representing user's intention. The personalized result page includes URL, page title and small text fragment of each web document. which is known as snippet. The snippet is the summary of the document which includes the keywords issued by either user or search engine itself. Users can verify the relevancy of the whole document using only the snippet, easily. The document summary (snippet) is an important information which makes users determine whether or not to click the link to the whole document. Hence, if a search engine generates personalized document summaries, it can provide a more satisfactory search results to users. In this paper, we propose a personalized document summary system for personalized web search engines. The proposed system provides increased degree of satisfaction to users with marginal overhead.
Keywords
summary; snippet; personalization; information retrieval;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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