
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 significantprogress has been made. This lecture gives an introduction to the area including the fundamental problems, existing approaches, theories, applications, and future work.
本帖隐藏的内容
Learning to Rank for Information Retrieval and Natural Language Processing.pdf
(3.48 MB, 需要: 5 个论坛币)
数据分析与数据挖掘书单推荐:
https://bbs.pinggu.org/thread-3116701-1-1.html



雷达卡








京公网安备 11010802022788号







