CTR Prediction on ML-tag
0.9663AUCGDCN-P
Evaluation results
| Method | Links | ||
|---|---|---|---|
| GDCN-PNetworks=GCN, DNN2023.11 | 0.9663 | 0.2144 | |
| FEDNetworks=Concat., Att., DNN2023.11 | 0.961 | 0.2294 | |
| xDeepFMNetworks=CIN, DNN2023.11 | 0.9609 | 0.2328 | |
| AutoInt+Networks=AutoInt, DNN2023.11 | 0.9609 | 0.2343 | |
| NONNetworks=LR, Att., DNN2023.11 | 0.9609 | 0.2279 | |
| ParaMaskNetNetworks=MaskBlocks, DNN2023.11 | 0.9608 | 0.2272 | |
| DCNNetworks=CN, DNN2023.11 | 0.9607 | 0.2283 | |
| DeepFMNetworks=FM, DNN2023.11 | 0.9606 | 0.244 | |
| WDLNetworks=LR, DNN2023.11 | 0.9605 | 0.2411 | |
| AFN+Networks=AFN, DNN2023.11 | 0.9605 | 0.2295 | |
| DCN-V2Networks=CN-V2, DNN2023.11 | 0.9603 | 0.2284 | |
| DNNNetworks=DNN2023.11 | 0.9598 | 0.2418 |