Learning to Rank for Information Retrieval and Natural Language Processing: Second Edition

Ebook Details

Authors

Hang Li

Year 2014
Pages 122
Publisher Morgan &amp
Language en
ISBN 9781627055840
File Size 1.91 MB
File Format PDF
Download Counter 244
Amazon Link

Ebook Description

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.