ACM SIGMOD Anthology SIGIR dblp.uni-trier.de

Improving Text Retrieval for the Routing Problem using Latent Semantic Indexing.

David A. Hull: Improving Text Retrieval for the Routing Problem using Latent Semantic Indexing. SIGIR 1994: 282-291
@inproceedings{DBLP:conf/sigir/Hull94,
  author    = {David A. Hull},
  editor    = {W. Bruce Croft and
               C. J. van Rijsbergen},
  title     = {Improving Text Retrieval for the Routing Problem using Latent
               Semantic Indexing},
  booktitle = {Proceedings of the 17th Annual International ACM-SIGIR Conference
               on Research and Development in Information Retrieval. Dublin,
               Ireland, 3-6 July 1994 (Special Issue of the SIGIR Forum)},
  publisher = {ACM/Springer},
  year      = {1994},
  isbn      = {3-540-19889-X},
  pages     = {282-291},
  ee        = {db/conf/sigir/Hull94.html},
  crossref  = {DBLP:conf/sigir/94},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX

Abstract

Latent Semantic Indexing (LSI) is a novel approach to information retrieval that attempts to model the underlying structure of term associations by transforming the traditional representation of documents as vectors of weighted term frequencies to a new coordinate space where both documents and terms are represented as linear combinations of underlying semantic factors. In previous research, LSI has produced a small improvement in retrieval performance. In this paper, we apply LSI to the routing task, which operates under the assumption that a sample of relevant and non-relevant documents is available to use in constructing the query. Once again, LSI slightly improves performance. However, when LSI is used is conduction with statistical classification, there is a dramatic improvement in performance.

Copyright © 1994 by the ACM, Inc., used by permission. Permission to make digital or hard copies is granted provided that copies are not made or distributed for profit or direct commercial advantage, and that copies show this notice on the first page or initial screen of a display along with the full citation.


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W. Bruce Croft, C. J. van Rijsbergen (Eds.): Proceedings of the 17th Annual International ACM-SIGIR Conference on Research and Development in Information Retrieval. Dublin, Ireland, 3-6 July 1994 (Special Issue of the SIGIR Forum). ACM/Springer 1994, ISBN 3-540-19889-X
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Referenced by

  1. Kothuri Venkata Ravi Kanth, Divyakant Agrawal, Ambuj K. Singh: Dimensionality Reduction for Similarity Searching in Dynamic Databases. SIGMOD Conference 1998: 166-176
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