| Presentation | 2003/9/7 Document Retrieval based on Relevance Feedback with Active Learning Takashi Onoda, Hiroshi Murata, Seiji Yamada, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| 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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| Conference Information | |
| Committee | AI |
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| Conference Date | 2003/9/7(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Paper Information | |
| 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) | 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 | |