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http://dx.doi.org/10.5391/JKIIS.2004.14.6.745

A Study on Information Retrieval of Web Using Local Context Analysts Feedback  

Kim, Young-Cheon (서정대학 정보통신과)
Lee, Sung-Joo (조선대학교 전자계산학과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.14, no.6, 2004 , pp. 745-751 More about this Journal
Abstract
In conventional boolean retrieval systems, document ranking is not supported and similarity coefficients cannot be computed between queries and documents. The MMM(Max and Min Model), Paice and P-norm models have been proposed in the past to support the ranking facility for boolean retrieval systems. They have common properties of interpreting boolean operators softly In this paper we propose a new soft evaluation method for web Information retrieval using local context analysis feedback model. We also show through performance comparison that local contort analysis feedback is more efficient and effective than MMM, Paice and P-norm.
Keywords
웹 정보검색;지역적 문맥 분석 피드백;질의 분해;부울 검색;유사도;
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