2022
Toward Understanding Privileged Features Distillation in Learning-to-Rank
NeurIPS 2022accept
In learning-to-rank problems, a \textit{privileged feature} is one that is available during model training, but not available at test time. Such features naturally arise in merchandised recommendation systems; for instance, "user clicked this item" as a feature is predictive of "user purchased this…