An Improved Semidiscrete Matrix Decomposition and its Application in Chinese Information Retrieval

Yang Luo

doi:10.4028/www.scientific.net/AMM.241-244.3121

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 241-244An Improved Semidiscrete Matrix Decomposition and...

An Improved Semidiscrete Matrix Decomposition and its Application in Chinese Information Retrieval

Abstract:

Information retrieval is an important direction in the area of natural language processing .This paper introduced semidiscrete matrix decomposition in latent semantic indexing. We aimed at it’s disadvantage in storage space and presented SSDD,then we compare the difference of SVD and SDD and SSDD in performance

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Periodical:

Applied Mechanics and Materials (Volumes 241-244)

Pages:

3121-3124

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.241-244.3121

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Online since:

December 2012

Authors:

Yang Luo

Keywords:

Information Retrieval, Latent Semantic Indexing, Semidiscrete Matrix Decomposition, Storage Space

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References

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