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Learning to Rank for Information Retrieval and Natural Language Processing, Second Edition
Language: en
Pages: 116
Authors: Hang Li
Categories: Computers
Type: BOOK - Published: 2022-05-31 - Publisher: Springer Nature

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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 r
Learning to Rank for Information Retrieval and Natural Language Processing
Language: en
Pages: 107
Authors: Hang Li
Categories: Computers
Type: BOOK - Published: 2011-04-20 - Publisher: Springer Nature

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Learning to rank refers to machine learning techniques for training the model in a ranking task. Learning to rank is useful for many applications in information
Learning to Rank for Information Retrieval
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Authors: Tie-Yan Liu
Categories: Computers
Type: BOOK - Published: 2011-04-29 - Publisher: Springer Science & Business Media

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Due to the fast growth of the Web and the difficulties in finding desired information, efficient and effective information retrieval systems have become more im
Introduction to Information Retrieval
Language: en
Pages:
Authors: Christopher D. Manning
Categories: Computers
Type: BOOK - Published: 2008-07-07 - Publisher: Cambridge University Press

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Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and
Pretrained Transformers for Text Ranking
Language: en
Pages: 318
Authors: Jimmy Lin
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Type: BOOK - Published: 2022-06-01 - Publisher: Springer Nature

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The goal of text ranking is to generate an ordered list of texts retrieved from a corpus in response to a query. Although the most common formulation of text ra