LSI meets TREC: A Status Report

  title={LSI meets TREC: A Status Report},
  author={Susan T. Dumais},
Latent Semantic Indexing (LSI) is an extension of the vector retrieval method (e.g., Salton & McGill, 1983) in which the dependencies between terms and between documents, in addition to the associations between terms and documents, are explicitly taken into account. This is done by simultaneously modeling all the association of terms and documents. We assume that there is some underlying or "latent" structure in the pattern of word usage across documents, and use statistical techniques to… CONTINUE READING
Highly Influential
This paper has highly influenced a number of papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 172 citations. REVIEW CITATIONS

2 Figures & Tables



Citations per Year

172 Citations

Semantic Scholar estimates that this publication has 172 citations based on the available data.

See our FAQ for additional information.