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
Link To Document :
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