Presentation 2003/9/7
Document Retrieval based on Relevance Feedback with Active Learning
Takashi Onoda, Hiroshi Murata, Seiji Yamada,
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Abstract(in English) We investigate the following data mining problems from the document retrieval: From a large data set of documents, we need to find documents that relate to human interest as few iterations of human testing or checking as possible. In each iteration a comparatively small batch of documents is evaluated for relating to the human interest. We apply active learning techniques based on Support Vector Machine for evaluating successive batches, which is called relevance feedback. Our proposed approach has been very useful for document retrieval with relevance feedback experimentally. In this paper, we adopt several representations of the Vector Space Model and several selecting rules of displayed documents at each iteration, and then show the comparison results of the effectiveness for the document retrieval in these several situations
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Relevance Feedback / Document Retrieval / Support Vector Machine / Active Learning
Paper # AI2003-32
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Committee AI
Conference Date 2003/9/7(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Document Retrieval based on Relevance Feedback with Active Learning
Sub Title (in English)
Keyword(1) Relevance Feedback
Keyword(2) Document Retrieval
Keyword(3) Support Vector Machine
Keyword(4) Active Learning
1st Author's Name Takashi Onoda
1st Author's Affiliation Central Research Institute of Electric Power Industry, Comm. & Info. Lab.()
2nd Author's Name Hiroshi Murata
2nd Author's Affiliation Central Research Institute of Electric Power Industry, Comm. & Info. Lab.
3rd Author's Name Seiji Yamada
3rd Author's Affiliation National Institute of Informatics
Date 2003/9/7
Paper # AI2003-32
Volume (vol) vol.103
Number (no) 304
Page pp.pp.-
#Pages 6
Date of Issue