36 citations · 42 across the 3 of their papers we have counts for
4 papers
ULTRA: An Unbiased Learning To Rank Algorithm Toolbox
Anh Tran, Tao Yang, Qingyao Ai
Learning to rank systems has become an important aspect of our daily life. However, the implicit user feedback that is used to train many learning to rank models is usually noisy a…
Maximizing Marginal Fairness for Dynamic Learning to Rank
Tao Yang, Qingyao Ai
Rankings, especially those in search and recommendation systems, often determine how people access information and how information is exposed to people. Therefore, how to balance t…
Analysis of Multivariate Scoring Functions for Automatic Unbiased Learning to Rank
Tao Yang, Shikai Fang, Shibo Li +2
Leveraging biased click data for optimizing learning to rank systems has been a popular approach in information retrieval. Because click data is often noisy and biased, a variety o…
Unbiased Learning to Rank: Online or Offline?
Qingyao Ai, Tao Yang, Huazheng Wang +1
How to obtain an unbiased ranking model by learning to rank with biased user feedback is an important research question for IR. Existing work on unbiased learning to rank (ULTR) ca…