CTR Prediction on ML-tag (test)
96.45AUCGDCN-S
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| GDCN-SModel Class=Ours2023.11 | 96.45 | 0.223 | |
| GCNModel Class=Ours2023.11 | 96.19 | 0.225 | |
| SerMaskNetModel Class=High-order2023.11 | 96.02 | 0.2297 | |
| IPNNModel Class=High-order2023.11 | 95.98 | 0.2344 | |
| FINTModel Class=High-order2023.11 | 95.98 | 0.2356 | |
| OPNNModel Class=High-order2023.11 | 95.95 | 0.2346 | |
| FiBiNetModel Class=High-order2023.11 | 95.95 | 0.2352 | |
| CINModel Class=High-order2023.11 | 95.93 | 0.249 | |
| FwFMModel Class=Second-order2023.11 | 95.91 | 0.2307 | |
| FmFMModel Class=Second-order2023.11 | 95.89 | 0.2357 | |
| AFNModel Class=High-order2023.11 | 95.87 | 0.2305 | |
| DIFMModel Class=Second-order2023.11 | 95.69 | 0.2316 | |
| CN-V2Model Class=High-order2023.11 | 95.49 | 0.2529 | |
| AutoIntModel Class=High-order2023.11 | 95.4 | 0.2575 | |
| FMModel Class=Second-order2023.11 | 95.39 | 0.2523 | |
| CNModel Class=High-order2023.11 | 94.98 | 0.2582 | |
| LRModel Class=First-order2023.11 | 93.39 | 0.2956 |