Hang Li
Learning to Rank for Information Retrieval and Natural Language Processing, Second Edition - Synthesis Lectures on Human Language Technologies Hang Li 2nd edition

Name: Learning to Rank for Information Retrieval and Natural Language Processing, Second Edition - Synthesis Lectures on Human Language Technologies
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Author: Hang Li

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Learning to Rank for Information Retrieval and Natural Language Processing, Second Edition - Synthesis Lectures on Human Language Technologies

Hang Li

2nd edition

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

Media	Books Paperback Book (Book with soft cover and glued back)
Released	November 5, 2014
ISBN13	9783031010279
Publishers	Springer International Publishing AG
Pages	107
Dimensions	235 × 191 × 12 mm · 258 g
Language	English