Art

J-GLOBAL ID：201402277866670580   Reference number：14A0862356

Comparative Analysis of Relevance for SVM-Based Interactive Document Retrieval

SVMに基づく対話型文書検索のための関連性の比較解析

Author (3)： MURATA Hiroshi (Central Res. Inst. Electric Power Ind. (CRIEPI), Tokyo, JPN) ,  ONODA Takashi (Central Res. Inst. Electric Power Ind. (CRIEPI), Tokyo, JPN) ,  YAMADA Seiji (National Inst. Informatics, Tokyo, JPN)
Material： Journal of Advanced Computational Intelligence and Intelligent Informatics  (J Adv Comput Intell Intell Inform)
Volume： 17  Issue： 2  Page： 149-156  Publication year： Mar. 20, 2013 
JST Material Number： F1398A  ISSN： 1343-0130  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： *document retrieval ,  *support vector machine ,  Feedback ,  evaluation test ,  *interactive processing ,  Learning ,  normalization ,  discriminant function ,  pattern recognition
Semi thesaurus term： Kernel function ,  Kernel method ,  active learning ,  ベクトル正規化 ,  relevance feedback ,  比較解析 ,  余弦カーネル

JST classification (3)： Retrieval technology  (AC06020S) ,  Neurocomputers  (JC06010Q) ,  Man-machine system  (IB03000G)

Reference (17)：

• G. Salton, (Ed.), “The SMART Retrieval System - Experiments in Automatic Document Processing,” Prentice Hall, Englewood, Cliffs, New Jersey, 1971.
• P. Ingwersen, “Information Retrieval Interaction,” Taylor Graham, 1992.
• J. Koenemann and N. J. Belkin, “A case for interaction: a study of interactive information retrieval behavior and effectiveness,” In Proc. of 27th Annual SIGCHI Conf. on Human factors in Computing Systems, pp. 205-212, 1996.
• G. Salton and M. J. McGill, “Introduction to Modern Information Retrieval,” McGraw-Hill, 1983.
• M. Okabe and S. Yamada, “Learning filtering rulesets for ranking refinement in relevance feedback,” Knowledge-Based Systems, Vol.18, pp. 117-124, April 2005.

Terms in the title (5)： SVM ,  対話型 ,  文書検索 ,  関連性 ,  解析