Learning to Rank for Information Retrieval and Natural Language Processing, Second Edition
2 Revised edition
by
Hang Li
Book Details
Format
Paperback / Softback
ISBN-10
3031010272
ISBN-13
9783031010279
Edition
2 Revised edition
Publisher
Springer International Publishing AG
Imprint
Springer International Publishing AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Nov 5th, 2014
Print length
107 Pages
Product Classification:
Computational linguisticsArtificial intelligenceNatural language & machine translation
Ksh 5,050.00
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Learning to rank refers to machine learning techniques for training a model in a ranking task. Table of Contents: Learning to Rank / Learning for Ranking Creation / Learning for Ranking Aggregation / Methods of Learning to Rank / Applications of Learning to Rank / Theory of Learning to Rank / Ongoing and Future Work
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