Shun Zhang

FiCoRec: Fine-Grained Contrastive Learning with Dual Aggregation for Sequential Recommendation

Sequential recommendation methods integrated with contrastive learning have been proven effective in addressing the data sparsity issue. However, most contrastive learning schemes directly perform random data augmentation on original sequences, which struggles to capture fine-grained features in users’ historical inter...