Presentation | 2014-06-15 A Method for Utilizing Less Relevant Documents to Relevance Feedback Takaaki WADA, Hidetoshi NAGAI, Teigo NAKAMURA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we propose a method for utilizing less relevant documents to relevance feedback in document retrieval. If any relevant documents are not found and only less relevant documents are found in the initial retrieval, the user classify each less relevant document into two types according to whether it is relatively close to the desired document or not. The search query is modified by the difference between the averages vectors of two sets of less relevant documents, and another search using new query will be invoked. Experiments show that our method can find relevant documents earlier than the Rocchio's algorithm. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Document retrieval / Relevance feedback / Less relevant documents |
Paper # | NLC2014-12 |
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Committee | NLC |
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Conference Date | 2014/6/7(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Natural Language Understanding and Models of Communication (NLC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Method for Utilizing Less Relevant Documents to Relevance Feedback |
Sub Title (in English) | |
Keyword(1) | Document retrieval |
Keyword(2) | Relevance feedback |
Keyword(3) | Less relevant documents |
1st Author's Name | Takaaki WADA |
1st Author's Affiliation | Kyushu Institute of Technology() |
2nd Author's Name | Hidetoshi NAGAI |
2nd Author's Affiliation | Kyushu Institute of Technology |
3rd Author's Name | Teigo NAKAMURA |
3rd Author's Affiliation | Kyushu Institute of Technology |
Date | 2014-06-15 |
Paper # | NLC2014-12 |
Volume (vol) | vol.114 |
Number (no) | 81 |
Page | pp.pp.- |
#Pages | 5 |
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