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Sequential Recommendation on KuaiRec

5.78HR@20CARD
2.7643.5474.335.113Oct 31, 2023Mar 14, 2024Jul 28, 2024Dec 11, 2024Apr 25, 2025Sep 8, 2025Jan 22, 2026

Evaluation results

MethodLinks
CARD2026.015.785.02——
TDM2026.015.534.82——
DreamRecEmbedding Dimension=64, Paradigm=learn-to-generate, Negative Sampling=None2023.105.164.11——
DreamRec2026.015.164.11——
STEAM2026.014.982.9——
DiffuASR2026.014.533.3——
PDRec2026.014.423.55——
CL4SRecEmbedding Dimension=64, Paradigm=learning-to-classify, Negative Sampling=1:12023.104.252.01——
SSDRec2026.014.193.28——
AdaRankerEmbedding Dimension=64, Paradigm=learning-to-classify, Negative Sampling=1:12023.104.141.89——
AdaRanker2026.014.141.89——
SASRecEmbedding Dimension=64, Paradigm=learning-to-classify, Negative Sampling=1:12023.103.921.53——
SASRec2026.013.921.53——
BERT4Rec2026.013.771.73——
DiffRecEmbedding Dimension=64, Negative Sampling=1:12023.103.741.77——
DiffRec2026.013.741.77——
IPSEmbedding Dimension=64, Paradigm=learning-to-classify, Negative Sampling=1:12023.103.731.4——
GRU4RecEmbedding Dimension=64, Paradigm=learning-to-classify, Negative Sampling=1:12023.103.321.23——
GRU4Rec2026.013.321.23——
CaserEmbedding Dimension=64, Paradigm=learning-to-classify, Negative Sampling=1:12023.102.881.07——
AdaRankerTraining time=per epoch, Inference time=per batch2026.01——3389
CARDTraining time=per epoch, Inference time=per batch2026.01——24034
DreamRecTraining time=per epoch, Inference time=per batch2026.01——3593,240
SASRecTraining time=per epoch, Inference time=per batch2026.01——2078
TDMTraining time=per epoch, Inference time=per batch2026.01——33034