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Personalized search support for networked document retrieval using link inference

  • F. C. Berger
  • P. van Bommel
Information Retrieval 1
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1134)

Abstract

Constructing a query consisting of a set of terms or descriptors is often an iterative process. To the user, the starting query and the final result could be strongly related. These two queries could even be worthy of a link between them. This paper presents a method for deciding when a link between two descriptors is justified. The decision hinges on the way in which the user has moved from one to the other. In order to allow for users with different levels of experience and different backgrounds, we introduce a number of parameters with which the inference process can be controlled.

Keywords

Search Process Activation Count Search Action Search Path Document Retrieval 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    M. Agouti, R. Colotti, and G. Gradenigo. A two-level hypertext retrieval model for legal data. In A. Beckstein, Y. Chiaramella, G. Salton, and V.V. Raghavan, editors, Proceedings of the 14th Annual International ACM S1GIR Conference on Research and Development in Information Retrieval, pages 316–325, Chicago, Illinois, October 1991. ACM Press.Google Scholar
  2. 2.
    H.C. Arents and W.F.L. Bogaerts. Navigation without links and nodes without contents: intensional navigation in a third-order hypermedia system. Hypermedia, 5(3):187–204, June 1993.Google Scholar
  3. 3.
    M.J. Bates. The design of browsing and berrypicking techniques for the on-line search interface. Online Review, 13(5):407–431, 1989.Google Scholar
  4. 4.
    F.C. Berger and P. van Bommel. Augmenting a Characterization Network with Semantical Information. Technical Report CSI-R9606, Computing Science Institute, University of Nijmegen, Nijmegen, The Netherlands, 1996.Google Scholar
  5. 5.
    F.C. Berger and T.W.C. Huibers. A framework based on situation theory for searching in a thesaurus. The New Review of Document and Text Management, 1:253–276, 1995.Google Scholar
  6. 6.
    F.C. Berger and Th.P. van der Weide. A Feedback Mechanism for Query by Navigation. In R. Sacks-Davis and J. Zobel, editors, Proceedings of the Sixth Australasian Database Conference, ADC'95, volume 17(2) of Australian Computer Science Communications, pages 56–65, Adelaide, Australia, January 1996.Google Scholar
  7. 7.
    P.D. Bruza. Stratified Information Disclosure: A Synthesis between Information Retrieval and Hypermedia. PhD thesis, University of Nijmegen, Nijmegen, The Netherlands, 1993.Google Scholar
  8. 8.
    P.D. Bruza and Th.P. van der Weide. Two Level Hypermedia — An Improved Architecture for Hypertext. In A.M. Tjoa and R. Wagner, editors, Proceedings of the Data Base and Expert System Applications Conference (DEXA 90), pages 76–83, Vienna, Austria, 1990. Springer-Verlag.Google Scholar
  9. 9.
    H.P. Frei and D. Stieger. The use of semantic links in hypertext information retrieval. Information Processing and Management, 31(1):1–13, 1995.CrossRefGoogle Scholar
  10. 10.
    R. Godin, R. Missaoiu, and A. April. Experimental comparison of navigation in a galois lattice with conventional information retrieval methods. International Journal of Man-Machine Studies, 38(1):747–767, 1993.CrossRefGoogle Scholar
  11. 11.
    R.M. Gray. Entropy and Information Theory. Springer-Verlag, New York, New York, 1990.Google Scholar
  12. 12.
    E. Hoenkamp, L. Schomaker, P. van Bommel, C.H.A. Koster, and Th.P. van der Weide. Profile — A Proactive Information Filter. Technical Note CSI-N9602, Computing Science Institute, University of Nijmegen, Nijmegen, The Netherlands, 1996.Google Scholar
  13. 13.
    D. Lucarella. A Model for Hypertext-Based Information Retrieval. In proceedings of the European Conference on Hypertext — ECHT 90, pages 81–94, Cambridge, United Kingdom, 1990. Cambridge University Press.Google Scholar
  14. 14.
    J. Nielsen. The art of navigating through Hypertext. Communications of the ACM, 33(3):296–310, March 1990.CrossRefGoogle Scholar
  15. 15.
    G. Piatetsky-Shapiro and editors Frawley, W.J. Knowledge Discovery in Databases. AAAI Press, Menlo Park, California, 1991.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1996

Authors and Affiliations

  • F. C. Berger
    • 1
  • P. van Bommel
    • 1
  1. 1.Computing Science InstituteUniversity of NijmegenED NijmegenThe Netherlands

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