Presentation | 2001/7/11 Relevance Feedback Retrieval Based on Difference Amplification in Clustered Information Spaces SHINICHI KINOSHITA, SHINSUKE NAKAJIMA, KATSUMI TANAKA, |
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Abstract(in English) | In this paper, we propose a way of modifying/formulating user queries based on sample selections in clustered information space. In a clustered information space, similar data are clustered and placed at near places. Our method is to (1)compute the defference of feature vectors between user-selected samples and their neighborhoods, (2)amplify the differences, and(3)use the amplified difference to modify the previous query or to formulate a new query. We propose two methods. One is the usage of amplified difference to improve the previous queries, called difference-amplified relevance-feedback queries. The other is to formulate queries just by selected samples and the amplified differences. The former is useful to improve the previous queries, and the latter is useful to discover the most pertinent queries for users. We also propose a way of controlling user queries by the combination of these two types of methods. |
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Paper # | DE2001-46 |
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Committee | DE |
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Conference Date | 2001/7/11(1days) |
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Registration To | Data Engineering (DE) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Relevance Feedback Retrieval Based on Difference Amplification in Clustered Information Spaces |
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1st Author's Name | SHINICHI KINOSHITA |
1st Author's Affiliation | Graduate School of Sience and Technology, Kobe University() |
2nd Author's Name | SHINSUKE NAKAJIMA |
2nd Author's Affiliation | Graduate School of Informatics, Kyot University |
3rd Author's Name | KATSUMI TANAKA |
3rd Author's Affiliation | Graduate School of Informatics, Kyot University |
Date | 2001/7/11 |
Paper # | DE2001-46 |
Volume (vol) | vol.101 |
Number (no) | 192 |
Page | pp.pp.- |
#Pages | 8 |
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