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Applications of Linear Algebra to Information Retrieval

Vasireddy, Jhansi Lakshmi
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Abstract

Some of the theory of nonnegative matrices is first presented. The Perron-Frobenius theorem is highlighted. Some of the important linear algebraic methods of information retrieval are surveyed. Latent Semantic Indexing (LSI), which uses the singular value de-composition is discussed. The Hyper-Text Induced Topic Search (HITS) algorithm is next considered; here the power method for finding dominant eigenvectors is employed. Through the use of a theorem by Sinkohrn and Knopp, a modified HITS method is developed. Lastly, the PageRank algorithm is discussed. Numerical examples and MATLAB programs are also provided.

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Date
2009-05-28
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Research Projects
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Keywords
PageRank, Power method, Hyper-Text Induced Topic Search, Perron-Frobenius theorem, Latent Semantic Indexing, Eigenvector, Nonnegative matrix, Eigenvalue
Citation
Vasireddy, Jhansi Lakshmi. "Applications of Linear Algebra to Information Retrieval." 2009. Thesis, Georgia State University. https://doi.org/10.57709/1059727
Embargo Lift Date
2012-01-26
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