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New Technology of Library and Information Service  1998, Vol. 14 Issue (4): 19-21    DOI: 10.11925/infotech.1003-3513.1998.04.05
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Applying Latent Semantic Indexing to Information Retrieval System
Feng Xiangyun
(The Documentation and Information Centre of the Chinese Academy of Sciences)
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Abstract  

This paper presents a new method of automatic indexing and retrieval.The approach is to take advantage of terms with documents (“latent semantic-structure”)in order to improve the detection of relevent documents on the basis of terms found in queries.A particular technique used is singular-value decomposition in which a large term-document matrix is decomposed into a set  of korthogonal factors.The original matrix can be approximated by linear combination from the factors set.Documents and queries are represented as vectors for med from weighted combinations of these factors. The relevancy prediction is achieved by comput ing the similarity of query and documents.
Received: 30 March 1998      Published: 25 August 1998
Corresponding Authors: Feng Xiangyun   
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Cite this article:

Feng Xiangyun. Applying Latent Semantic Indexing to Information Retrieval System. New Technology of Library and Information Service, 1998, 14(4): 19-21.

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https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.1998.04.05     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y1998/V14/I4/19

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