Journal of the Korean Mathematical Society (대한수학회지)

Korean Mathematical Society (대한수학회)
권호 표지

LATENT SEMANTIC INDEXING AND LINEAR RELEVANCE FEEDBACK IN TEXT INFORMATION RETRIEVAL THEORY

  • Yang, Ki-Choon (Department of Mathematics University of Texas-Pan American)
  • Published : 1999.03.01
Download PDF
⟨ Previous Next ⟩

Abstract

We give a mathematically rigorous description of the recently popular latent semantic indexing (LSI) method in text information retrieval theory. Also, a related problem of finding a document ranking function in linear relevance feedback is discussed.

Keywords

References

  1. Journal of the American Society for Information Science v.41 no.6 Indexing by latent semantic analysis S. Deerwester;S.T. Dumais;G. W. Furnas;T. K. Landauer;R. Harshman
  2. Introduction to Modern Information Retrieval G. Salton;M. J. McGill
  3. Journal of the American Society for Information Science v.41 no.5 Query formulation in linear retrieval models S. K. M. Wong;Y. Y. Yao