Learning to rank for information retrieval (LR4IR 2007)
Thorsten Joachims, Hang Li, Tie‐Yan Liu, ChengXiang Zhai · ACM SIGIR Forum · 2007
The task of "learning to rank" has emerged as an active and growing area of research both in information retrieval and machine learning. The goal is to design and apply methods to automatically learn a function from training data, such that the function can sort objects (e.g., documents) according to their degrees of relevance, preference, or importance as defined in a specific application.