Presentation | 2000/7/19 Retrieval Effectiveness for English Text Using the Relevance-based Superimposition Model Teruhito KANAZAWA, Atsuhiro TAKASU, Jun ADACHI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We have proposed a Relevance-based Superimposition(RS) model to solve the problems of semantic ambiguity on information retrieval. This method partitions the documents so that the relevant documents fall into the same cluster based on the keywords given by authors, and it enables more accurate estimation of the weights of index terms than conventional methods such as tf・idf. We evaluated our method and showed the effectiveness of it using the NTCIR-1, which is a large-scale test collection for information retrieval. In this paper, we evaluate the proposed method using the TREC test collection, and examine the relation of the retrieval effectiveness of the proposed method to the kind of language and the characteristic of documents and queries. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | information retrieval / vector space model / document vector modification / RS model / TREC / NTCIR |
Paper # | DE2000-30 |
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Committee | DE |
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Conference Date | 2000/7/19(1days) |
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Paper Information | |
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) | Retrieval Effectiveness for English Text Using the Relevance-based Superimposition Model |
Sub Title (in English) | |
Keyword(1) | information retrieval |
Keyword(2) | vector space model |
Keyword(3) | document vector modification |
Keyword(4) | RS model |
Keyword(5) | TREC |
Keyword(6) | NTCIR |
1st Author's Name | Teruhito KANAZAWA |
1st Author's Affiliation | Graduate School of Engineering, University of Tokyo() |
2nd Author's Name | Atsuhiro TAKASU |
2nd Author's Affiliation | NII(National Institute of Informatics) |
3rd Author's Name | Jun ADACHI |
3rd Author's Affiliation | NII(National Institute of Informatics) |
Date | 2000/7/19 |
Paper # | DE2000-30 |
Volume (vol) | vol.100 |
Number (no) | 226 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |