Long-term User Engagement Optimization through Model-agnostic Downstream Rewards Learning
The episode discusses 'Long-term User Engagement Optimization through Model-agnostic Downstream Rewards Learning,' a paper that proposes replacing delayed retention metrics with proxy signals. The hosts explore how this framework teaches AI to value deep, sustained user engagement over maximizing short-term clicks, showing its practical application and positive real-world results.