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- W179391383 abstract "In the language modeling approach to information retrieval, Dirichlet prior smoothing frequently outperforms fixed linear interpolated (aka Jelinek-Mercer) smoothing. The only difference between Dirichlet prior and fixed linear interpolated smoothing is that Dirichlet prior determines the amount of smoothing based on a document’s length. Our hypothesis was that Dirichlet prior smoothing has an implicit document prior that favors longer documents. We tested our hypothesis by first calculating a prior for a given document length from the known relevant documents. We then determined the performance of each smoothing method with and without the document prior. We discovered that when given the document prior, fixed linear interpolated smoothing matches or exceeds the performance of Dirichlet prior smoothing. Dirichlet prior smoothing’s performance advantage appears to come more from an implicit prior favoring longer documents than from better estimation of the document model." @default.
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- W179391383 date "2005-01-01" @default.
- W179391383 modified "2023-09-27" @default.
- W179391383 title "An Investigation of Dirichlet Prior Smoothing's Performance Advantage" @default.
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