1 citations · 1 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…
stat.ML2018
Hierarchical Modeling and Shrinkage for User Session Length Prediction in Media Streaming
Antoine Dedieu, Rahul Mazumder, Zhen Zhu +1
An important metric of users' satisfaction and engagement within on-line streaming services is the user session length, i.e. the amount of time they spend on a service continuously…