Information Technology Reference
In-Depth Information
Part I
Overview of Learning to Rank
In this part, we will give an overview of learning to rank for information retrieval.
Specifically, we will first introduce the ranking problem in information retrieval
by describing typical scenarios, reviewing popular ranking models, and showing
widely used evaluation measures. Then we will depict how to use machine learn-
ing technologies to solve the ranking problem, through explaining the concept of
learning to rank, enumerating the major approaches to learning to rank, and briefly
discussing their strengths and weaknesses.
After reading this part, the readers are expected to know the context of learning
to rank, and understand its basic concepts and approaches.
