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.
- ISBN10 1608457087
- ISBN13 9781608457083
- Publish Date 2 February 2011
- Publish Status Active
- Imprint Morgan & Claypool
- Format eBook
- Pages 113
- Language English