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Using the cosine measure in a neural network for document retrieval

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Published:01 September 1991Publication History
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References

  1. Bein.J. Bein, P. Smolensky Application of the Interactive A ctivatzon Model ~o Document RetmevalTechnical Report CU-CS-405-88, University of Colorado, Boulder, Colorado, 1988]]Google ScholarGoogle Scholar
  2. Belew.R.K. Belew, Adaptzve Information Retrieval 12th International Conference on Research and development in Information Retrieval, Cambridge, Massachusetts, 1989 pp. 11-20]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Chang.Y.K. Chang, C. Cirillo and J. Razon, Evaluation of Feedback Retrieval Using Modified Freezing, Residual Collection, and Test and Control Groups in The SMART RE- TRIEVAL SYSTEM, G. Salton Ed. Prentice Hall, New Jersey, 1971, pp. 355-370]]Google ScholarGoogle Scholar
  4. Kwok.K.L. Kwok, A Neural Network for Probabilis~ic Information Retrieval 12th International Conference on Research and development in Information Retrieval, Cambridge, Massachusetts, 1989 pp. 21-30]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. McLelland.J. L. McLelland and D. E. Rumelhart, Parallel Distributed Processing MIT Press, Massachusetts, 1986]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Mozer.M. Mozer, Inductive Information Retrieval using Parallel Distributed Computation, Technical Report, ICS, UCSD, La Jolla, California, 1984]]Google ScholarGoogle ScholarCross RefCross Ref
  7. Rocchio.J.J. Rocchio, Relevance Feedback in information Retrieval in The SMART RE- TRIEVAL SYSTEM, G. Salton Ed. Prentice Hall, New Jersey, 1971, pp. 355-370]]Google ScholarGoogle Scholar
  8. Salton85.G. Salton, E. A. Fox and E. Voorhees, Advanced Feedback Methods in Information Retrieval, Journal of the American Society for Information Science, Vol. 36, No. 3, 1985, pp. 200-210]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Salton89.G. Salton Automatic Text Processing. Addison-Wesley, Reading, Massachusetts, 1989]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Stanfill.C. Stanfill and B. Kahle, Parallel Free-Text Search on ~he Connection Machine System, Communications of the ACM, Vol. 29, No. 12, 1986, pp. 1229-1239]] Google ScholarGoogle ScholarDigital LibraryDigital Library

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            • Published in

              cover image ACM Conferences
              SIGIR '91: Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval
              September 1991
              359 pages
              ISBN:0897914481
              DOI:10.1145/122860
              • Chairman:
              • Edward Fox

              Copyright © 1991 ACM

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              Association for Computing Machinery

              New York, NY, United States

              Publication History

              • Published: 1 September 1991

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