9 citations · 10 across the 2 of their papers we have counts for
2 papers
cs.IR2020★ 1 cited
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…
cs.IR2020★ 9 cited
Estimating Error and Bias in Offline Evaluation Results
Mucun Tian, Michael D. Ekstrand
Offline evaluations of recommender systems attempt to estimate users' satisfaction with recommendations using static data from prior user interactions. These evaluations provide re…