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