• DocumentCode
    357707
  • Title

    Building Bayesian network-based information retrieval systems

  • Author

    De Campos, Luis M. ; Fernández, Juan M. ; Huete, Juan F.

  • Author_Institution
    Dept. de Ciencias de la Comput. e Inteligencia Artificial, Granada Univ., Spain
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    543
  • Lastpage
    550
  • Abstract
    Bayesian networks are suitable models to deal with the information retrieval problem because they are appropriate tools to manage the intrinsic uncertainty with which this area is pervaded. In this paper we introduce several modifications to the previous works on this field adding new features and showing how a good retrieval effectiveness can be achieved by improving the quality of the Bayesian networks used in the model and tuning some of their parameters
  • Keywords
    belief networks; information retrieval systems; Bayesian network-based information retrieval systems; intrinsic uncertainty; Bayesian methods; Books; IP networks; Information retrieval; Organizing; Probability distribution; Search engines; Software; Thesauri; Web sites;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database and Expert Systems Applications, 2000. Proceedings. 11th International Workshop on
  • Conference_Location
    London
  • ISSN
    1529-4188
  • Print_ISBN
    0-7695-0680-1
  • Type

    conf

  • DOI
    10.1109/DEXA.2000.875079
  • Filename
    875079