SLSRec disentangles long- and short-term user interests via self-supervised contrastive learning and fuses them adaptively with attention, outperforming prior models on three public recommendation benchmarks.
Plas- tic: Prioritize long and short-term information in top- n recommendation using adversarial training
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SLSREC: Self-Supervised Contrastive Learning for Adaptive Fusion of Long- and Short-Term User Interests
SLSRec disentangles long- and short-term user interests via self-supervised contrastive learning and fuses them adaptively with attention, outperforming prior models on three public recommendation benchmarks.