Counterfactual Learning to Rank using Heterogeneous Treatment Effect Estimation

Mucun Tian, Chun Guo, Vito Ostuni +1

Learning-to-Rank (LTR) models trained from implicit feedback (e.g. clicks) suffer from inherent biases. A well-known one is the position bias -- documents in top positions are more…