Contrastive Self-supervised Learning in Recommender Systems: A Survey

Mengyuan Jing, Yanmin Zhu, Tianzi Zang +1

Deep learning-based recommender systems have achieved remarkable success in recent years. However, these methods usually heavily rely on labeled data (i.e., user-item interactions)…