Hang Li
Learning to rank for information retrieval and natural language processing
Hang Li · 2011
Where to buy
Amazon’s price changes daily, so the most accurate place to see it is there, at the moment you buy.
View on AmazonAbout the book
Learning to rank refers to machine learning techniques for training the 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 the problem recently and significant progress has been made. This lecture gives an introduction to the area including the fundamental problems, existing approaches, theories, applications, and future work.
Book details
- Year
- 2011
- Language
- English
- Series
- Synthesis lectures on human language technology -- # 12
- Publisher
- Morgan & Claypool
- Editions
- 1
- Pages
- 114
- ISBN
- 9781608457083
Data source: Wikidata