[PDF.87zz] Learning to Rank for Information Retrieval and Natural Language Processing: Second Edition (Synthesis Lectures on Human Language Technologies)

Learning to Rank for Information Retrieval and Natural Language Processing: Second Edition (Synthesis Lectures on Human Language Technologies)

[PDF.qz93] Learning to Rank for Information Retrieval and Natural Language Processing: Second Edition (Synthesis Lectures on Human Language Technologies)

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 | #938433 in Books |  2014-10-01 | Original language:English | PDF # 1 |  9.25 x.28 x7.50l,.49 | File type: PDF | 122 pages

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||About the Author|Huawei Technologies

Learning to rank refers to machine learning techniques for training a model in a ranking task. Learning to rank is useful for many applications in information retrieval, natural language processing, and data mining. Intensive studies have been conducted on its problems recently, and significant progress has been made. This lecture gives an introduction to the area including the fundamental problems, major approaches, theories, applications, and future work.

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You easily download any file type for your device.Learning to Rank for Information Retrieval and Natural Language Processing: Second Edition (Synthesis Lectures on Human Language Technologies)   |  Hang Li. Just read it with an open mind because none of us really know.

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