A Layered Bayesian Network Model for Document Retrieval
Proceedings of the 24th BCS-IRSG European Colloquium on IR Research: Advances in Information Retrieval
Relevance Feedback in the Bayesian Network Retrieval Model: An Approach Based on Term Instantiation
IDA '01 Proceedings of the 4th International Conference on Advances in Intelligent Data Analysis
Implementing relevance feedback in the Bayesian network retrieval model
Journal of the American Society for Information Science and Technology - Mathematical, logical, and formal methods in information retrieval
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems - Intelligent information systems
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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.