Online Self-Supervised Self-Distillation for Sequential Recommendation: Bridging the Gap Between Self-Supervised Learning and Self-Distillation

The core message of this paper is to propose a novel learning paradigm, named Online Self-Supervised Self-distillation for Sequential Recommendation (S4Rec), which effectively bridges the gap between self-supervised learning and self-distillation methods to address the sparsity problem of user behavior data in sequential recommendation.