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

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

Synthesis Lectures on Human Language Technologies

Hang Li

121 pages • missing pub info (editions)

nonfiction art computer science informative medium-paced
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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 con...

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