S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization

Recently, significant progress has been made in sequential recommendation with deep learning. Existing neural sequential recommendation models usually rely on the item prediction loss to learn model parameters or data representations. However, the model trained with this loss is prone to suffer from... View More