LSI meets TREC: A Status Report

@inproceedings{Dumais1992LSIMT,
  title={LSI meets TREC: A Status Report},
  author={Susan T. Dumais},
  booktitle={TREC},
  year={1992}
}
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
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