Sequential latent semantic indexing

Authors:
Mikhail Krivenko;Vitaly Vasilyev
Affiliations:
The Institute of Informatics Problems of the Russian Academy of Sciences, Moscow;The Institute of Informatics Problems of the Russian Academy of Sciences, Moscow
Venue:
Proceedings of the 2nd Workshop on Data Mining using Matrices and Tensors
Year:
2009

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Abstract

This paper presents a new sequential version of the latent semantic indexing method based on the notion of the relative error of approximation of the matrix of observations. The paper gives theoretical and experimental justification of the effectiveness of the proposed method