Implementing relevance feedback in the Bayesian Network Retrieval model

Relevance Feedback consists in automatically formulating a new query according to the relevance judgments provided by the user after evaluating a set of retrieved documents. In this article, we introduce several relevance feedback methods for the Bayesian Network Retrieval Model. The theoretical fra...

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Veröffentlicht in:	Journal of the American Society for Information Science and Technology 2003-02, Vol.54 (4), p.302-313
Hauptverfasser:	de Campos, Luis M., Fernández-Luna, Juan M., Huete, Juan F.
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayesian analysis Bayesian networks Computer networks Exact sciences and technology Experimentation Feedback Inference Information and communication sciences Information processing and retrieval Information retrieval Information retrieval. Man machine relationship Information science. Documentation Judgments Online information retrieval Probabilistic inference Probabilistic models Queries Relevance feedback Research process. Evaluation Retrieval Sciences and techniques of general use Studies Theory
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