Uncertainty-Aware Reward Modeling: A Large-Scale Case Study in Video Recommendation
Historically, recommendation systems have focused on maximizing precision by treating user preference as a static, predictable target. However, this approach ignores both the inherent randomness of human behavior and the model’s own varying levels of confidence. To compensate, many industrial systems rely on "reserved...