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Improving Performance of Web Search using The User Preference in Query Word Senses  

김형일 (동국대학교 컴퓨터공학과)
김준태 (동국대학교 컴퓨터공학과)
Publication Information
Journal of KIISE:Software and Applications / v.31, no.8, 2004 , pp. 1101-1112 More about this Journal
Abstract
In this paper, we propose a Web page weighting scheme using the user preference in each sense of query word to improve the performance of Web search. Generally search engines assign weights to a web page by using relevancy only, which is obtained by comparing the query word and the words in a web page. In the information retrieval from huge data such as the Web, simple word comparison cannot distinguish important documents because there exist too many documents with similar relevancy In this paper we implement a WordNet-based user interface that helps to distinguish different senses of query word, and constructed a search engine in which the implicit evaluations by multiple users are reflected in ranking by accumulating the number of clicks. In accumulating click counts, they are stored separately according to senses, so that more accurate search is possible. The experimental results with several keywords show that the precision of proposed system is improved compared to conventional search engines.
Keywords
information retrieval; search engine; user preference; WordNet;
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