103 citations · 103 across the 1 of their papers we have counts for
2 papers
cs.IR2025
A Control Function Framework for Mitigating Position Bias in Learning to Rank Systems
Md Aminul Islam, Kathryn Vasilaky, Elena Zheleva
Learning-to-rank (LTR) systems commonly depend on implicit feedback, such as user clicks, because it is easy to collect and can serve as a valuable signal of user preferences. Howe…
cs.IR2020★ 103 cited
Correcting for Selection Bias in Learning-to-rank Systems
Zohreh Ovaisi, Ragib Ahsan, Yifan Zhang +2
Click data collected by modern recommendation systems are an important source of observational data that can be utilized to train learning-to-rank (LTR) systems. However, these dat…