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Implementing Relevance Feedback in the Bayesian Network Retrieval Model.
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de Campos, Luis M.; Fernandez-Luna, Juan M.; Huete, Juan F. – Journal of the American Society for Information Science and Technology, 2003
Discussion of relevance feedback in information retrieval focuses on a proposal for the Bayesian Network Retrieval Model. Bases the proposal on the propagation of partial evidences in the Bayesian network, representing new information obtained from the user's relevance judgments to compute the posterior relevance probabilities of the documents…
Descriptors: Bayesian Statistics, Feedback, Information Retrieval, Mathematical Formulas
On Relevance Weight Estimation and Query Expansion.
Peer reviewed Peer reviewed
Robertson, S. E. – Journal of Documentation, 1986
A Bayesian argument is used to suggest modifications to the Robertson and Jones relevance weighting formula to accommodate the addition to the query of terms taken from the relevant documents identified during the search. (Author)
Descriptors: Bayesian Statistics, Information Retrieval, Mathematical Formulas, Online Systems