FNN

Reported on 5 benchmarks across 1 task · 1 paper · 5 SOTA

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

Miscellaneous5 results

Click-Through Rate PredictiononiPinYou
AUC· 2016-01-11
0.7619
best: 0.8174 (OPNN)
SOTA
Deep Learning over Multi-field Categorical Data: A Case Study on User Response Prediction arXiv:1601.02376
Click-Through Rate PredictiononCompany*
AUC· 2016-01-11
0.8683
best: 0.8715 (DeepFM)
SOTA
Deep Learning over Multi-field Categorical Data: A Case Study on User Response Prediction arXiv:1601.02376
Click-Through Rate PredictiononCompany*
Log Loss· 2016-01-11
0.02629
best: 0.02618 (DeepFM)
SOTA
Deep Learning over Multi-field Categorical Data: A Case Study on User Response Prediction arXiv:1601.02376
Click-Through Rate PredictiononCriteo
AUC· 2016-01-11
0.7963
best: 0.8163 (QNN-α)
SOTA
Deep Learning over Multi-field Categorical Data: A Case Study on User Response Prediction arXiv:1601.02376
Click-Through Rate PredictiononCriteo
Log Loss· 2016-01-11
0.45738
best: 0.4358 (QNN-α)
SOTA
Deep Learning over Multi-field Categorical Data: A Case Study on User Response Prediction arXiv:1601.02376