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

Fabio Crestani, Luis M. de Campos, Juan M. Fernandez Luna, Juan F. Huete

Research output: Contribution to conferencePaper

10 Citations (Scopus)
42 Downloads (Pure)

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.
Original languageEnglish
Pages168-182
Number of pages14
Publication statusPublished - 10 Oct 2003
EventProceedings of the SPIRE 2003 - Manaus, Brasil
Duration: 8 Oct 200319 Oct 2003

Conference

ConferenceProceedings of the SPIRE 2003
CityManaus, Brasil
Period8/10/0319/10/03

Keywords

  • utility theory
  • Bayesian network retrieval model
  • information retreival

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