Journal of Computer & Information Technology

Papers

Voulume: 6
Issue: 2
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Article No. 1
Vector Space Modelling and Latent Semantic Indexing for textual information retrieval
MUZAFAR RASOOL BHAT

Department of Computer Science, Islamic University of Science and Technology, Awantipora, Sriagar (India)
muzafar.rasool@islamicuniversity.edu.in

Abstract :

Vector space model of a collection eases process of information retrieval. This process can be further simplified by decomposing term document matrix using singular value decomposition. Use of appropriate number of singular values produced by singular value decomposition can improve the relevance of retrieved results. This paper compares the results produced by two main algebraic model based algorithms namely VSM and LSI using metrics based on Precision and Recall tests.Commonly used collections like CACM, and CISI is used in this research.

Keyword : information retrieval, SVD, VSM, LSI
DOI :
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