DeepFFM

Reported on 2 benchmarks across 1 task · 1 paper · 2 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Miscellaneous2 results

Click-Through Rate PredictiononCriteo
AUC· 2019-05-15
0.8104
best: 0.8163 (QNN-α)
SOTA
FAT-DeepFFM: Field Attentive Deep Field-aware Factorization Machine arXiv:1905.06336
Click-Through Rate PredictiononCriteo
Log Loss· 2019-05-15
0.4416
best: 0.4358 (QNN-α)
SOTA
FAT-DeepFFM: Field Attentive Deep Field-aware Factorization Machine arXiv:1905.06336