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

by Hang Li

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...

• Format: Paperback
• Language: English
• ISBN: 3031010272
• ISBN13: 9783031010279
• Release Date: November 2014
• Publisher: Springer
• Length: 107 Pages
• Weight: 0.50 lbs.
• Dimensions: 0.3" x 7.5" x 9.3"