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Incorporating the vector space model in a neural network used for document retrieval

Ross Wilkinson (Department of Computer Science, Royal Melbourne Institute of Technology, Melbourne, Australia.)
Philip Hingston (Department of Computer Science, Royal Melbourne Institute of Technology, Melbourne, Australia.)

Library Hi Tech

ISSN: 0737-8831

Article publication date: 1 January 1992

Abstract

The task of a document retrieval system is to match a query, perhaps in natural language, against a large number of natural language documents. Neural networks are known to be good pattern matchers. This article describes 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.

Citation

Wilkinson, R. and Hingston, P. (1992), "Incorporating the vector space model in a neural network used for document retrieval", Library Hi Tech, Vol. 10 No. 1/2, pp. 69-75. https://doi.org/10.1108/eb047846

Publisher

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MCB UP Ltd

Copyright © 1992, MCB UP Limited