Computation of Term Associations by a Neural Network.

S. K. Michael Wong, Y. J. Cai, Yiyu Yao: Computation of Term Associations by a Neural Network. SIGIR 1993: 107-115

@inproceedings{DBLP:conf/sigir/WongCY93,
  author    = {S. K. Michael Wong and
               Y. J. Cai and
               Yiyu Yao},
  editor    = {Robert Korfhage and
               Edie M. Rasmussen and
               Peter Willett 0002},
  title     = {Computation of Term Associations by a Neural Network},
  booktitle = {Proceedings of the 16th Annual International ACM-SIGIR Conference
               on Research and Development in Information Retrieval. Pittsburgh,
               PA, USA, June 27 - July 1, 1993},
  publisher = {ACM},
  year      = {1993},
  isbn      = {0-89791-605-0},
  pages     = {107-115},
  ee        = {db/conf/sigir/WongCY93.html},
  crossref  = {DBLP:conf/sigir/93},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

This paper suggests a method for computing term associations based on an adaptive bilinear retrieval model. Such a model can be implemented by using a three-layer feed-forward neural network. Term associations are modeled by weighted links connecting different neurons, and are derived by the perception learning algorithm without the need for introducing any ad hoc parameters. The preliminary results indicate the usefulness of neural networks in the design of adaptive information retrieval systems.

Copyright © 1993 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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Robert Korfhage, Edie M. Rasmussen, Peter Willett (Eds.): Proceedings of the 16th Annual International ACM-SIGIR Conference on Research and Development in Information Retrieval. Pittsburgh, PA, USA, June 27 - July 1, 1993. ACM 1993, ISBN 0-89791-605-0
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