Using the Cosine Measure in a Neural Network for Document.

Ross Wilkinson, Philip Hingston: Using the Cosine Measure in a Neural Network for Document. SIGIR 1991: 202-210

@inproceedings{DBLP:conf/sigir/WilkinsonH91,
  author    = {Ross Wilkinson and
               Philip Hingston},
  editor    = {Abraham Bookstein and
               Yves Chiaramella and
               Gerard Salton and
               Vijay V. Raghavan},
  title     = {Using the Cosine Measure in a Neural Network for Document},
  booktitle = {Proceedings of the 14th Annual International ACM SIGIR Conference
               on Research and Development in Information Retrieval. Chicago,
               Illinois, USA, October 13-16, 1991 (Special Issue of the SIGIR
               Forum)},
  publisher = {ACM},
  year      = {1991},
  isbn      = {0-89791-448-1},
  pages     = {202-210},
  ee        = {db/conf/sigir/WilkinsonH91.html},
  crossref  = {DBLP:conf/sigir/91},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

BibTeX

Abstract

The task of document retrieval systems is to match one natural language query against a large number of natural language documents. Neural networks are known to be good pattern matchers. This paper reports our investigations in implementing a document retrieval system based on a neural network model. It shows that many of the standard strategies of information retrieval are applicable in a neural network model.

Copyright © 1991 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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Abraham Bookstein, Yves Chiaramella, Gerard Salton, Vijay V. Raghavan (Eds.): Proceedings of the 14th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Chicago, Illinois, USA, October 13-16, 1991 (Special Issue of the SIGIR Forum). ACM 1991, ISBN 0-89791-448-1
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