Click-Through Rate Prediction on ML 1M benchmark leaderboard · SOTA2 Research

Click-Through Rate Prediction on ML 1M

0.9087AUCQNN-α

Evaluation Results

Method	Links
QNN-α2025.05		0.9087	—	0.296
FCN_p2024.07		0.9082	—	0.2975
ECN2024.07		0.9067	—	0.3023
FCN_sp2024.07		0.9067	—	0.3017
ECN2025.05		0.9059	—	0.3013
DCNv22024.07		0.9056	—	0.3098
DCNv22025.05		0.9056	—	0.3098
AFN*2024.07		0.9053	—	0.3048
FINAL2024.07		0.9053	—	0.3035
AFN2025.05		0.9053	—	0.3048
FINAL(2B)2025.05		0.9053	—	0.3035
FinalMLP2024.07		0.9052	—	0.3058
DLF2024.07		0.9052	—	0.3083
FinalMLP2025.05		0.9052	—	0.3058
DeepFM2024.07		0.9051	—	0.3073
RFM2024.07		0.9051	—	0.3048
DeepFM2025.05		0.9051	—	0.3073
RFM2025.05		0.9051	—	0.3048
EDCN2024.07		0.9048	—	0.3073
EDCN2025.05		0.9048	—	0.3073
xDeepFM2024.07		0.9047	—	0.3054
xDeepFM2025.05		0.9047	—	0.3054
Wide & Deep2024.07		0.9045	—	0.3056
AutoInt*2024.07		0.9045	—	0.3112
Wide & Deep2025.05		0.9045	—	0.3056
AutoInt2025.05		0.9045	—	0.3112
EulerNet2024.07		0.9044	—	0.305
EulerNet2025.05		0.9044	—	0.305
PNN2024.07		0.9042	—	0.307
PNN2025.05		0.9042	—	0.307
DCNv12024.07		0.9038	—	0.3156
DCNv12025.05		0.9038	—	0.3156
MaskNet2024.07		0.9034	—	0.308
MaskNet2025.05		0.9034	—	0.308
CL4CTR2025.05		0.9033	—	0.3074
DNN2024.07		0.903	—	0.31
DNN2025.05		0.903	—	0.31
ContextNet-SFFN2021.07		0.8681	6.82	—
ContextNet-PFFN2021.07		0.8641	5.66	—
DCN2021.07		0.8595	4.32	—
Transformer2021.07		0.8578	3.83	—
AutoInt2021.07		0.8569	3.57	—
xDeepFM2021.07		0.8561	3.34	—
DeepFM2021.07		0.8537	2.64	—
DNN2021.07		0.8527	2.35	—
FM2021.07		0.8446	0	—