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In information retrieval, score distribution model refers to the modeling of retrieval scores as a mixture, often normal for relevant and exponential for nonrelevant documents, to calibrate or combine search outputs. This meaning comes from Manmatha (2001) in Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval.[1]
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