JOURNAL ARTICLE

Building Bayesian network-based information retrieval systems

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:
Computer science Bayesian network Bayesian probability Field (mathematics) Data mining Quality (philosophy) Artificial intelligence Variable-order Bayesian network Machine learning Bayesian inference Information retrieval

Metrics

20
Cited By
2.97
FWCI (Field Weighted Citation Impact)
16
Refs
0.92
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Bayesian Modeling and Causal Inference
Physical Sciences →  Computer Science →  Artificial Intelligence
AI-based Problem Solving and Planning
Physical Sciences →  Computer Science →  Artificial Intelligence
Data Management and Algorithms
Physical Sciences →  Computer Science →  Signal Processing

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