skip to main content
article
Free Access

Personalized information delivery: an analysis of information filtering methods

Published:01 December 1992Publication History
First page image

References

  1. 1 Allen, R. User models: Theory method and practice. Int. J. Man- Machine Stud. 32 (1990), 511-543 Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. 2 Bates, M.J. Subject access in online catalogs: A design model, J. Am, Soc. Inf, Sci. 37 (1986), 357-376,.Google ScholarGoogle Scholar
  3. 3 Belkm, N,J. and Croft, W.B. Information filtering and information retrieval: Two sides of the same coin. Commun. ACM 35, 12 (Dec. 1992), Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. 4 Belkin, N.J., Brooks. H.M. and Daniris, P.J.-Knowledge eticitation using discourse analysis. Int. J. Man- Machine Stud. 27 (1987), 127-144. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. 5 Blair, D.C. and Maron, M.E. A, eval. uation of retrieval effectiveness for a full-text document retrieval system. Commun. ACM 28 (1985), 289-299. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. 6 Deerwestcr, S., Dumais, S.T., Furnas, G.W., Landauer, T.K. and Harshman, R. Indexing by Latent Semantic Analysis. J. Am. Soc. Inf. Sci. 41, 6 (1990), 391-407.Google ScholarGoogle Scholar
  7. 7 Dumais, S.T. Imptroving the retrieval of information from external sources. Behav. Res. Meth. Instr. Comput. 23, 2 (1991), 229-236.Google ScholarGoogle ScholarCross RefCross Ref
  8. 8 Foltz, P.W. Using Latent Semantic Indexing for information filtering. In Proceedings of theACM Conference on Office Information Systems (Boston, Apr. 25-27). ACM/SIGOIS, New York, 1990, pp, 40--47, Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. 9 Furnas, G.W., Deerwester, S., Dumais, S.T., Landauer, T. K., Harshman R.A. Streeter, L.A. and Lochbaum, K.E. information retrieval using a singular value decomposition model of latent semantic structure. In Proceedings of the 11th International Conference on Research and Development in IR (June 13-15, Grenoble, France), ACM/SiGIR, New York, 1988, pp. 465-480. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. 10 Furnas, G.W., Landauer, T.K., Gomex, L.M. and Durmais, S.T. Statistical semantics Analysis of the potential performance of keyword information systems. Bell Syst. Tech. J. 62, 6 (1983}, 1753-1806,Google ScholarGoogle ScholarCross RefCross Ref
  11. 11 Housernan, E.M. and Kaskela, D.E. State of the art of selective dissemination of information. IEEE Trans. Eng. Writing Speech III, 2 (1970), 78-83.Google ScholarGoogle Scholar
  12. 12 Mackay, W.E., Malone, T.W., Crowston, K., Rao, R. Rosenblitt, D., and Card, S.K. flow do experienced information lens user use rules? In Proceeding of ACM CHI '89 Conference on Hiuman Factors in Computing System, (Austin, Tex. Apr. 30-May 4). ACM/ SIGCHI, New York, 1989, pp. 211- 216. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. 13 Malone, T.W., Grant, K.R., Lai, K.Y., Rao, R. and Rosenblitt, D.R, Semistructured messages are surprisingly useful for computer supported coordination. ACM Trans. Off, Inf. Syst, 5, 2 (1987), 115-131 Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. 14 Packer, K.H. and Soergel, D. The importance of SDI for current awareness in fields with severe scatter of information. J. Am, Soc. Inf.Sci. 30, 3 (1979), 125-135.Google ScholarGoogle ScholarCross RefCross Ref
  15. 15 Saracevic, T. and Kantor, P. A study of information seeking and retrieving. III. Searchers, searches and overlap. J. Am. Soc. Inf. Sci. 39, 3 (1988), 197-216.Google ScholarGoogle Scholar
  16. 16 Salton, G. and Buckley, C. Improving retrieval performnce by relevance feedback. J. Am. Soc. Inf. Sci. 41, 4 (1990), 288-297.Google ScholarGoogle ScholarCross RefCross Ref
  17. 17 Salton, G. and McGiil, M.I. Introduction to Modern Information Retrieval. McGraw-Hill, New York, 1983. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. 18 Turtle, H, and Croft, W.B. Evaluation of an inference network-based retrieval model. ACM Trans. Inf. Syst. 9, 3 (1991), 187-222. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. 19 van Rijsbergen, C.J. Information: Retrieval, Butterworths, London, 1979. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Personalized information delivery: an analysis of information filtering methods

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in

      Full Access

      • Published in

        cover image Communications of the ACM
        Communications of the ACM  Volume 35, Issue 12
        Special issue on information filtering
        Dec. 1992
        85 pages
        ISSN:0001-0782
        EISSN:1557-7317
        DOI:10.1145/138859
        Issue’s Table of Contents

        Copyright © 1992 ACM

        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 1 December 1992

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • article

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader