Counterfactual Evaluation of Ads Ranking Models through Domain Adaptation

Mohamed A. Radwan, Himaghna Bhattacharjee, Quinn Lanners +4

We propose a domain-adapted reward model that works alongside an Offline A/B testing system for evaluating ranking models. This approach effectively measures reward for ranking mod…