CROLoss: Towards a Customizable Loss for Retrieval Models in Recommender Systems

Yongxiang Tang, Wentao Bai, Guilin Li +2

In large-scale recommender systems, retrieving top N relevant candidates accurately with resource constrain is crucial. To evaluate the performance of such retrieval models, Recall…