DIET: Learning to Distill Dataset Continually for Recommender Systems

Jiaqing Zhang, Hao Wang, Mingjia Yin +6

Modern deep recommender models are trained under a continual learning paradigm, relying on massive and continuously growing streaming behavioral logs. In large-scale platforms, ret…