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The BNR model: foundations and performance of a Bayesian network-based retrieval model by Luis M. de Campos; Juan M. Fernández-Luna; Juan F. Huete is a Computer Science article available to read on EtoBox.

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This paper presents an information retrieval model based on the Bayesian network formalism. The topology of the network (representing the dependence relationships between terms and documents) as well as the quantitative knowledge (the probabilities encoding the strength of these relationships) will be mined from the document collection using automatic learning algorithms. The relevance of a document to a given query is obtained by means of an inference process through a complex network of dependences. A new inference technique, called propagation + evaluation, has been developed in order to obtain the exact probabilities of relevance in the whole network efficiently.

Who reads The BNR model: foundations and performance of a Bayesian network-based retrieval model?

Author

Luis M. de Campos; Juan M. Fernández-Luna; Juan F. Huete

Publisher

Elsevier Science; Elsevier ; Elsevier BV (ISSN 0888-613X)

Published

2003

Language

EN

Field

Computer Science (Physical Sciences)