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http://dx.doi.org/10.6109/jkiice.2012.16.3.424

Snippet Extraction Method using Fuzzy Implication Operator and Relevance Feedback  

Park, Sun (목포대학교 정보산업연구소)
Shim, Chun-Sik (목포대학교 조선공학과)
Lee, Seong-Ro (목포대학교 정보전자공학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.16, no.3, 2012 , pp. 424-431 More about this Journal
Abstract
In information retrieval, search engine provide the rank of web page and the summary of the web page information to user. Snippet is a summaries information of representing web pages. Visiting the web page by the user is affected by the snippet. User sometime visits the wrong page with respect to user intention when uses snippet. The snippet extraction method is difficult to accurate comprehending user intention. In order to solve above problem, this paper proposes a new snippet extraction method using fuzzy implication operator and relevance feedback. The proposed method uses relevance feedback to expand the use's query. The method uses the fuzzy implication operator between the expanded query and the web pages to extract snippet to be well reflected semantic user's intention. The experimental results demonstrate that the proposed method can achieve better snippet extraction performance than the other methods.
Keywords
snippet; relevance feedback; fuzzy implication operator; fuzzy relational product;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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