Presentation | 2004/11/27 Relevance Feedback Document Retrieval using Non-Relevant Documents(Text Mining I)(Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ, and IEICE-SIGAI on Active Mining) TAKASHI ONODA, HIROSHI MURATA, SEIJI YAMADA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper reports a new document retrieval method using non-relevant documents. From a large data set of documents, we need to find documents that relate to human interesting in 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 interesting. This method is called relevance feedback. The relevance feedback needs a set of relevant and non-relevant documents. However, the initial presented documents which are checked by a user don't always include relevant documents. Accordingly we propose a feedback method using information of non-relevant documents only. We named this method non-relevance feedback. The irrelevance feedback selects a set of documents based on learning result by One-class SVM. Results from experiments show that this method is able to retrieve a relevant document from a set of non-relevant documents effectively. |
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Paper # | AI2004-20 |
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Committee | AI |
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Conference Date | 2004/11/27(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Relevance Feedback Document Retrieval using Non-Relevant Documents(Text Mining I)(Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ, and IEICE-SIGAI on Active Mining) |
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1st Author's Name | TAKASHI ONODA |
1st Author's Affiliation | Central Research Institute of Electric Power Industry() |
2nd Author's Name | HIROSHI MURATA |
2nd Author's Affiliation | Central Research Institute of Electric Power Industry |
3rd Author's Name | SEIJI YAMADA |
3rd Author's Affiliation | National Institute of Informatics |
Date | 2004/11/27 |
Paper # | AI2004-20 |
Volume (vol) | vol.104 |
Number (no) | 485 |
Page | pp.pp.- |
#Pages | 6 |
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