A neural network for probabilistic information retrieval

  • Authors:
  • K. L. Kwok

  • Affiliations:
  • Dept. of Mathematics and Computer Science, Western Connecticut State University, Danbury, CT

  • Venue:
  • SIGIR '89 Proceedings of the 12th annual international ACM SIGIR conference on Research and development in information retrieval
  • Year:
  • 1989

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Abstract

This paper demonstrates how a neural network may be constructed, together with learning algorithms and modes of operation, that will provide retrieval effectiveness similar to that of the probabilistic indexing and retrieval model based on single terms as document components.