CTR Prediction on Large-scale Video Search Dataset (offline experiments)
86.62AUCDLRM-MLP
Evaluation results
| Method | Links | ||
|---|---|---|---|
| DLRM-MLPMethod Category=ID Baseline, Dense Param=7M, Sparse Param=7.52T, FLOPs (bs=4096)=0.13T2026.01 | 86.62 | 88.26 | |
| TRM-RankMixerDense Param=352M, Sparse Param=5.07T, FLOPs (bs=4096)=14.66T2026.01 | 65 | 54 | |
| TRM-Pure TransformerDense Param=341M, Sparse Param=5.07T, FLOPs (bs=4096)=12.17T2026.01 | 61 | 53 | |
| RankMixerMethod Category=ID-based, Dense Param=335M, Sparse Param=7.52T, FLOPs (bs=4096)=13.20T2026.01 | 58 | 48 | |
| Pure TransformerMethod Category=ID-based, Dense Param=326M, Sparse Param=7.52T, FLOPs (bs=4096)=11.05T2026.01 | 56 | 46 | |
| SEMIDMethod Category=Token-based, Dense Param=345M, Sparse Param=5.08T, FLOPs (bs=4096)=14.23T2026.01 | 56 | 47 | |
| OneRec-tokenMethod Category=Token-based, Dense Param=342M, Sparse Param=5.06T, FLOPs (bs=4096)=13.98T2026.01 | 53 | 45 | |
| Tiger-tokenMethod Category=Token-based, Dense Param=338M, Sparse Param=5.06T, FLOPs (bs=4096)=13.89T2026.01 | 45 | 40 | |
| WuKongMethod Category=ID-based, Dense Param=355M, Sparse Param=7.52T, FLOPs (bs=4096)=18.96T2026.01 | 44 | 38 | |
| DHENMethod Category=ID-based, Dense Param=242M, Sparse Param=7.52T, FLOPs (bs=4096)=8.42T2026.01 | 29 | 23 | |
| DCN-v2Method Category=ID-based, Dense Param=78M, Sparse Param=7.52T, FLOPs (bs=4096)=1.92T2026.01 | 8 | 6 |