Probabilistic Information Retrieval Method Based on Differential Latent Semantic Index Space
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概要
- 論文の詳細を見る
To improve the unstable performance of the traditional keyword-based search engine due to ambiguities of a natural language such as synonymy and /or polysemy, we have developed a new advanced DLSI(differential latent semantic index) space based probabilistic information retrieval system. The new method exploits a most likelihood posteriori function providing a measure of reliability in retrieving a document in the database having a closest match with another document of a query. Our simple experiment gives a supporting evidence for the validity of the theory, which is capable of capturing the intricate variability in word usage contributing to a more robust context contingent search engine.
- 社団法人電子情報通信学会の論文
- 2001-07-01
著者
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NAGAI Akira
Gunma Prefectural Institute of Public Health and Environmental Sciences
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Chen Liang
Computer Science Department University Of Northern British Columbia
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Nagai A
Advanced Media Network Center Utsunomiya University
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TOKUDA Naoyuki
SunFlare Research and Development Center
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CHEN Liang
The authors are with the Computer Science Department, Utsunomiya University
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TOKUDA Naoyuki
The authors are with the Computer Science Department, Utsunomiya University
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NAGAI Akira
The authors are with the Computer Science Department, Utsunomiya University
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Tokuda N
Sunflare Research And Development Center
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Tokuda Naoyuki
Faculty Of General Education Utsunomiya University
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