by Jacques Savoy, Anne Le Calvé, Dana Vrajitoru
http://www.unine.ch/info/Gi/Papers/TREC5.pdf
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Abstract:
This paper describes and evaluates a retrieval model that considers the problem of data fusion and collection fusion as two faces of the same coin. To establish a clear theoretical foundation for combining various sources of evidence provided either by different search schemes (data fusion) or by distributed information services (collection fusion), we have implemented a retrieval model based on the logistic regression methodology. Participation: Category B, ad-hoc automatic
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