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Sequential Recommendation on Zhihu

0.0257HR@20CARD
0.01530.0180.02070.0234Oct 31, 2023Mar 14, 2024Jul 28, 2024Dec 11, 2024Apr 25, 2025Sep 8, 2025Jan 22, 2026

Evaluation results

MethodLinks
CARD2026.010.02570.83
TDM2026.010.02330.75
DreamRecEmbedding Dimension=64, Paradigm=learn-to-generate, Negative Sampling=None2023.100.02260.79
DreamRec2026.010.02260.79
PDRec2026.010.0210.74
DiffuASR2026.010.02050.71
CL4SRecEmbedding Dimension=64, Paradigm=learning-to-classify, Negative Sampling=1:12023.100.02030.74
SSDRec2026.010.02030.72
BERT4Rec2026.010.02010.72
DiffRecEmbedding Dimension=64, Negative Sampling=1:12023.100.01820.65
DiffRec2026.010.01820.65
GRU4RecEmbedding Dimension=64, Paradigm=learning-to-classify, Negative Sampling=1:12023.100.01780.67
GRU4Rec2026.010.01780.67
STEAM2026.010.01750.69
AdaRankerEmbedding Dimension=64, Paradigm=learning-to-classify, Negative Sampling=1:12023.100.0170.61
AdaRanker2026.010.0170.61
IPSEmbedding Dimension=64, Paradigm=learning-to-classify, Negative Sampling=1:12023.100.01660.64
SASRecEmbedding Dimension=64, Paradigm=learning-to-classify, Negative Sampling=1:12023.100.01620.6
SASRec2026.010.01620.6
CaserEmbedding Dimension=64, Paradigm=learning-to-classify, Negative Sampling=1:12023.100.01570.59