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Ranking structured documents using utility theory in the Bayesian network retrieval model

Crestani, F. and de Campos, L. and Fernandez Luna, J. and Huete, J. (2003) Ranking structured documents using utility theory in the Bayesian network retrieval model. In: Proceedings of the SPIRE 2003, 2003-10-08 - 2003-10-19, Manaus, Brasil.

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    Abstract

    In this paper a new method based on Utility and Decision theory is presented to deal with structured documents. The aim of the application of these methodologies is to refine a first ranking of structural units, generated by means of an Information Retrieval Model based on Bayesian Networks. Units are newly arranged in the new ranking by combining their posterior probabilities, obtained in the first stage, with the expected utility of retrieving them. The experimental work has been developed using the Shakespeare structured collection and the results show an improvement of the effectiveness of this new approach.

    Item type: Conference or Workshop Item (Paper)
    ID code: 2496
    Keywords: utility theory, Bayesian network retrieval model, information retreival, Electronic computers. Computer science
    Subjects: Science > Mathematics > Electronic computers. Computer science
    Department: Faculty of Science > Computer and Information Sciences
    Related URLs:
      Depositing user: Strathprints Administrator
      Date Deposited: 06 Feb 2007
      Last modified: 06 Oct 2012 07:15
      URI: http://strathprints.strath.ac.uk/id/eprint/2496

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