Machine learning approach to document retrieval: An overview and an experiment

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In this article we first provide an overview of AI techniques and then present a machine learning based document retrieval system we developed. GANNET (Genetic Algorithms and Neural Nets System) performed concept (keyword) optimization for user-selected documents during document retrieval using the genetic algorithms. It then used the optimized concepts to perform concept exploration in a large network of related concepts through the Hopfield net parallel relaxation procedure. Our preliminary experiment showed that GANNET helped improve search recall by identifying the underlying concepts (keywords) which best describe the user-selected documents.

Original languageEnglish (US)
Title of host publicationProceedings of the Hawaii International Conference on System Sciences
EditorsJay F. Nunamaker, Ralph H.Jr. Sprague
PublisherPubl by IEEE
Pages631-640
Number of pages10
Volume3
ISBN (Print)0818650702
StatePublished - 1994
EventProceedings of the 27th Hawaii International Conference on System Sciences (HICSS-27). Part 4 (of 5) - Wailea, HI, USA
Duration: Jan 4 1994Jan 7 1994

Other

OtherProceedings of the 27th Hawaii International Conference on System Sciences (HICSS-27). Part 4 (of 5)
CityWailea, HI, USA
Period1/4/941/7/94

Fingerprint

Learning systems
Genetic algorithms
Neural networks
Information retrieval systems
Experiments

ASJC Scopus subject areas

  • Software
  • Industrial and Manufacturing Engineering

Cite this

Chen, H. (1994). Machine learning approach to document retrieval: An overview and an experiment. In J. F. Nunamaker, & R. H. J. Sprague (Eds.), Proceedings of the Hawaii International Conference on System Sciences (Vol. 3, pp. 631-640). Publ by IEEE.

Machine learning approach to document retrieval : An overview and an experiment. / Chen, Hsinchun.

Proceedings of the Hawaii International Conference on System Sciences. ed. / Jay F. Nunamaker; Ralph H.Jr. Sprague. Vol. 3 Publ by IEEE, 1994. p. 631-640.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Chen, H 1994, Machine learning approach to document retrieval: An overview and an experiment. in JF Nunamaker & RHJ Sprague (eds), Proceedings of the Hawaii International Conference on System Sciences. vol. 3, Publ by IEEE, pp. 631-640, Proceedings of the 27th Hawaii International Conference on System Sciences (HICSS-27). Part 4 (of 5), Wailea, HI, USA, 1/4/94.
Chen H. Machine learning approach to document retrieval: An overview and an experiment. In Nunamaker JF, Sprague RHJ, editors, Proceedings of the Hawaii International Conference on System Sciences. Vol. 3. Publ by IEEE. 1994. p. 631-640
Chen, Hsinchun. / Machine learning approach to document retrieval : An overview and an experiment. Proceedings of the Hawaii International Conference on System Sciences. editor / Jay F. Nunamaker ; Ralph H.Jr. Sprague. Vol. 3 Publ by IEEE, 1994. pp. 631-640
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