AutoLossGen: Automatic Loss Function Generation for Recommender Systems

Zelong Li, Jianchao Ji, Yingqiang Ge +1

In recommendation systems, the choice of loss function is critical since a good loss may significantly improve the model performance. However, manually designing a good loss is a b…