Li Hang. Learning to Rank for Information Retrieval and Natural Language Processing

Morgan & Claypool, 2011. - 101 p.This book presents a survey on learning to rank and describes methods for learning to rank
in detail. The major focus of the book is supervised learning for ranking creation.
The book targets researchers and practitioners in information retrieval, natural language processing,
machine learning, data mining, and other related fields. It assumes that the readers of the
book have basic knowledge of statistics and machine learning.Learning to Rank
Learning for Ranking Creation
Learning for Ranking Aggregation
Methods of Learning to Rank
Applications of Learning to Rank
Theory of Learning to Rank
Ongoing and FutureWork