A Framework for Value-Aligned Modeling and Robust Experimentation
When developing large-scale industrial recommender systems, a critical challenge is misalignment between offline model evaluation metrics and the final business objective. This disconnect often leads to inefficient development cycles where promising offline improvements fail to translate into online performance gains....