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Statistical Language Models for Information Retrieval (Synthesis Lectures on Human Language Technologies)

ChengXiang Zhai




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 | #3271621 in Books |  2008-12-31 | Original language:English | PDF # 1 |  9.25 x.32 x7.50l,.57 | File type: PDF | 142 pages

||About the Author|University of Illinois, Urbana-Champaign

As online information grows dramatically, search engines such as Google are playing a more and more important role in our lives. Critical to all search engines is the problem of designing an effective retrieval model that can rank documents accurately for a given query. This has been a central research problem in information retrieval for several decades. In the past ten years, a new generation of retrieval models, often referred to as statistical language models, has be...

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