CTR Prediction on MovieLens
97.52AUCDS-MLP
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| DS-MLPLatency (ms)=2.652026.06 | 97.52 | 6.02 | — | — | — | 0.1971 | |
| FinalLatency (ms)=2.292026.06 | 97.17 | 5.24 | — | — | — | 0.1978 | |
| FinalMLPLatency (ms)=2.312026.06 | 97.16 | 5.22 | — | — | — | 0.2119 | |
| STECType=Attention Based Models2023.08 | 97.15 | — | — | — | — | 0.2016 | |
| FinalMLPType=Base Models2023.08 | 97.13 | 0.02 | — | — | — | 0.2246 | |
| SFGLatency (ms)=3.022026.06 | 96.98 | 4.82 | — | — | — | 0.2118 | |
| AOANetType=Base Models2023.08 | 96.94 | 0.22 | — | — | — | 0.2105 | |
| WuKongLatency (ms)=4.412026.06 | 96.92 | 4.68 | — | — | — | 0.2136 | |
| DCNV2Type=Base Models2023.08 | 96.91 | 0.25 | — | — | — | 0.2147 | |
| DCNV2Latency (ms)=3.032026.06 | 96.9 | 4.64 | — | — | — | 0.2139 | |
| IPNNType=Base Models2023.08 | 96.89 | 0.27 | — | — | — | 0.2095 | |
| AutoInt+Type=Attention Based Models2023.08 | 96.89 | 0.27 | — | — | — | 0.2148 | |
| DeepFMLatency (ms)=5.422026.06 | 96.89 | 4.62 | — | — | — | 0.2116 | |
| DCNType=Base Models2023.08 | 96.88 | 0.28 | — | — | — | 0.2147 | |
| DeepIMType=Base Models2023.08 | 96.88 | 0.28 | — | — | — | 0.2099 | |
| AutoInt+Latency (ms)=3.642026.06 | 96.88 | 4.6 | — | — | — | 0.2202 | |
| Wide&DeepType=Base Models2023.08 | 96.87 | 0.29 | — | — | — | 0.2161 | |
| DeepFMType=Base Models2023.08 | 96.87 | 0.29 | — | — | — | 0.213 | |
| DESTINEType=Attention Based Models2023.08 | 96.86 | 0.3 | — | — | — | 0.2125 | |
| ECKDLatency (ms)=3.312026.06 | 96.86 | 4.55 | — | — | — | 0.2182 | |
| xDeepFMLatency (ms)=3.782026.06 | 96.85 | 4.53 | — | — | — | 0.2151 | |
| GDCNLatency (ms)=3.752026.06 | 96.85 | 4.53 | — | — | — | 0.2164 | |
| PNNLatency (ms)=4.932026.06 | 96.84 | 4.51 | — | — | — | 0.2099 | |
| xDeepFMType=Base Models2023.08 | 96.75 | 0.41 | — | — | — | 0.2409 | |
| MaskNetType=Base Models2023.08 | 96.73 | 0.43 | — | — | — | 0.2364 | |
| FCNLatency (ms)=3.542026.06 | 96.71 | 4.22 | — | — | — | 0.2076 | |
| AFN+Latency (ms)=3.162026.06 | 96.41 | 3.55 | — | — | — | 0.301 | |
| AFN+Type=Base Models2023.08 | 96.37 | 0.81 | — | — | — | 0.303 | |
| EDCNType=Base Models2023.08 | 96.11 | 1.08 | — | — | — | 0.2122 | |
| FiBiNETType=Base Models2023.08 | 95.32 | 1.92 | — | — | — | 0.2518 | |
| FiBiNetLatency (ms)=6.622026.06 | 95.27 | 1 | — | — | — | 0.2556 | |
| FiGNNLatency (ms)=5.252026.06 | 95.16 | 0.76 | — | — | — | 0.2573 | |
| InterHAtType=Attention Based Models2023.08 | 94.86 | 2.41 | — | — | — | 0.254 | |
| FmFMLatency (ms)=3.302026.06 | 94.82 | — | — | — | — | 0.2467 | |
| AFMType=Attention Based Models2023.08 | 94.55 | 2.75 | — | — | — | 0.2653 | |
| AFMLatency (ms)=4.622026.06 | 94.39 | -0.96 | — | — | — | 0.2733 | |
| GenCILatency=0.48s2026.01 | 89.64 | 10.82 | — | — | — | 0.3507 | |
| SFGLatency=0.50s2026.01 | 89.39 | 10.08 | — | — | — | 0.3463 | |
| MIRRNLatency=0.65s2026.01 | 89.38 | 10.05 | — | — | — | 0.3472 | |
| DIENLatency=2.34s2026.01 | 89.36 | 10.03 | — | — | — | 0.3459 | |
| DINLatency=0.52s2026.01 | 89.31 | 9.89 | — | — | — | 0.3445 | |
| DCNV2Latency=0.38s2026.01 | 89.27 | 9.78 | — | — | — | 0.3564 | |
| AutoInt+Latency=0.62s2026.01 | 89.24 | 9.7 | — | — | — | 0.3534 | |
| xDeepFMLatency=0.47s2026.01 | 89.19 | 9.56 | — | — | — | 0.3512 | |
| RFMLatency=0.44s2026.01 | 89.18 | 9.53 | — | — | — | 0.3612 | |
| DeepFMLatency=0.41s2026.01 | 89.08 | 9.25 | — | — | — | 0.3527 | |
| AFN+Latency=0.58s2026.01 | 89.06 | 9.19 | — | — | — | 0.3574 | |
| PNNLatency=0.31s2026.01 | 89.01 | 9.06 | — | — | — | 0.3511 | |
| FiGNNLatency=0.45s2026.01 | 88.99 | 9 | — | — | — | 0.3628 | |
| NFMLatency=0.43s2026.01 | 88.47 | 7.55 | — | — | — | 0.3649 | |
| FwFMLatency=0.51s2026.01 | 87.43 | 4.64 | — | — | — | 0.3694 | |
| LRLatency=0.21s2026.01 | 85.77 | — | — | — | — | 0.3904 | |
| LM-CTR w CTR-SinkBackbone=Qwen2025.08 | 82.03 | — | — | — | — | — | |
| CoLLM w CTR-SinkBackbone=Qwen2025.08 | 81.95 | — | — | — | — | — | |
| LM-CTRBackbone=Qwen2025.08 | 81.77 | — | — | — | — | — | |
| CoLLMBackbone=Qwen2025.08 | 81.65 | — | — | — | — | — | |
| DIFMFramework Variant=Base+APG2022.03 | 79.94 | 0.1 | — | — | — | — | |
| DIFMFramework Variant=Base2022.03 | 79.84 | — | — | — | — | — | |
| FIBINETFramework Variant=Base+APG2022.03 | 79.82 | 0.04 | — | — | — | — | |
| FIBINETFramework Variant=Base2022.03 | 79.78 | — | — | — | — | — | |
| WDLFramework Variant=Base+APG2022.03 | 79.73 | 0.39 | — | — | — | — | |
| PNNFramework Variant=Base+APG2022.03 | 79.67 | 0.17 | — | — | — | — | |
| AutoIntFramework Variant=Base+APG2022.03 | 79.64 | 0.28 | — | — | — | — | |
| DCNFramework Variant=Base+APG2022.03 | 79.62 | 0.33 | — | — | — | — | |
| DeepFMFramework Variant=Base+APG2022.03 | 79.6 | 0.3 | — | — | — | — | |
| PNNFramework Variant=Base2022.03 | 79.5 | — | — | — | — | — | |
| AutoIntFramework Variant=Base2022.03 | 79.36 | — | — | — | — | — | |
| WDLFramework Variant=Base2022.03 | 79.34 | — | — | — | — | — | |
| DeepFMFramework Variant=Base2022.03 | 79.3 | — | — | — | — | — | |
| DCNFramework Variant=Base2022.03 | 79.29 | — | — | — | — | — | |
| FLIP-PLM w CTR-SinkBackbone=RoBERTa2025.08 | 78.52 | — | — | — | — | — | |
| LM-CTR w CTR-SinkBackbone=RoBERTa2025.08 | 78.44 | — | — | — | — | — | |
| CoLLM w CTR-SinkBackbone=RoBERTa2025.08 | 78.29 | — | — | — | — | — | |
| FLIP-PLMBackbone=RoBERTa2025.08 | 78.2 | — | — | — | — | — | |
| AutoInt2025.08 | 78.12 | — | — | — | — | — | |
| LM-CTRBackbone=RoBERTa2025.08 | 78.08 | — | — | — | — | — | |
| DCN-V22025.08 | 78.06 | — | — | — | — | — | |
| DeepFM2025.08 | 78.03 | — | — | — | — | — | |
| CoLLMBackbone=RoBERTa2025.08 | 77.95 | — | — | — | — | — | |
| DIN2025.08 | 77.85 | — | — | — | — | — | |
| DIN with DiceActivation function=Dice2017.06 | 73.48 | 2.09 | — | — | — | — | |
| DINActivation function=PReLU2017.06 | 73.37 | 1.61 | — | — | — | — | |
| DeepFMActivation function=PReLU2017.06 | 73.24 | 1.04 | — | — | — | — | |
| PNNActivation function=PReLU2017.06 | 73.21 | 0.91 | — | — | — | — | |
| Wide&DeepActivation function=PReLU2017.06 | 73.04 | 0.17 | — | — | — | — | |
| BaseModelActivation function=PReLU2017.06 | 73 | 0 | — | — | — | — | |
| LR2017.06 | 72.63 | -1.61 | — | — | — | — | |
| AFM2023.12 | — | — | — | 33.21 | 37.04 | — | |
| AFN+DNN integration=true2023.12 | — | — | — | 9.6 | 0.95 | — | |
| AutoInt+DNN integration=true2023.12 | — | — | — | 8.68 | 0.8 | — | |
| Average (All Models)Framework Variant=Base2022.03 | — | — | 79.46 | — | — | — | |
| Average (All Models)Framework Variant=Base+APG2022.03 | — | 0.24 | 79.7 | — | — | — | |
| CL4CTR2023.12 | — | — | — | 10.3 | 0.85 | — | |
| DCN2023.12 | — | — | — | 9.28 | 0.81 | — | |
| DCNv22023.12 | — | — | — | 10.19 | 0.9 | — | |
| DeepFM2023.12 | — | — | — | 9.54 | 0.9 | — | |
| DNN2023.12 | — | — | — | 11.15 | 1 | — | |
| EDCN2023.12 | — | — | — | 18.65 | 1.12 | — | |
| EulerNet2023.12 | — | — | — | 13.06 | 1.82 | — | |
| FiGNN2023.12 | — | — | — | 27.56 | 4.68 | — |