Self-Supervised

Recommendation Systems (11): Contrastive Learning and Self-Supervised Learning

A practitioner's guide to contrastive learning for recommendations: InfoNCE and the role of temperature, SimCLR vs MoCo negatives, SGL graph augmentations, CL4SRec sequence augmentations, XSimGCL's noise-only trick, with …