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This paper proposes a technique for improving performance using word senses and user feedback in web information retrieval, compared with the retrieval based on ambiguous user query and index. Disambiguation using query word senses can eliminating the irrelevant pages from the search result. According to semantic categories of nouns which are used as index for retrieval, we build the word sense knowledge-base and categorize the web pages. It can improve the precision of retrieval system with user feedback deciding the query sense and information seeking behavior to pages. : , ,  ,   search engine, query word sense, ambiguity, user feedback * **    2009   .   (shyoon@smu.ac.kr) ■:2009 10 18 ■:2009 10 20 ■:2009 10 30 ■, 26(4): 81-91, 2009. [DOI:10.3743/KOSIM.2009.26.4.081] 82  26 4 2009

Using Query Word Senses and User Feedback to Improve Precision of Search Engine