Machine Learning for Search Ranking and Ad Auction(2)

第三届自然语言处理与中文计算会议(NLPCC 2014)——Recently, machine learning has been widely adopted in search and advertising, mainly due to the availability of huge amount of interaction data between users, advertisers, and search engines. In this talk, we discuss how to use machine learning to build effective ranking models (which we call learning to rank) and to optimize auction mechanisms.

关键词: 机器学习 检索排名 广告拍卖 排序模型 拍卖机制

主讲人:Prof. Tieyan Liu 机构:Microsoft Research Asia

时长:0:13:38 年代:2014年