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This dissertation presents several new retrieval methods that combine the use of Bayes' theorem and probability density estimation techniques. The new methods estimate probability of relevance from a small set of statistical features characterizing document-query pairs, such as query length, within-document term frequency, the number of matching terms between a document and a query, and the…

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