FGCNN+IPNN

Reported on 4 benchmarks across 1 task · 1 paper · 4 SOTA

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

Miscellaneous4 results

Click-Through Rate PredictiononAvazu
AUC· 2019-04-09
0.7883
best: 0.8062 (OptInter)
SOTA
Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction arXiv:1904.04447
Click-Through Rate PredictiononAvazu
LogLoss· 2019-04-09
0.3746
best: 0.3637 (OptInter)
SOTA
Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction arXiv:1904.04447
Click-Through Rate PredictiononHuawei App Store
AUC· 2019-04-09
0.9407
SOTA
Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction arXiv:1904.04447
Click-Through Rate PredictiononHuawei App Store
Log Loss· 2019-04-09
0.1134
SOTA
Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction arXiv:1904.04447