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SOTA
点击率预测
Click Through Rate Prediction On Ipinyou
Click Through Rate Prediction On Ipinyou
评估指标
AUC
LogLoss
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
AUC
LogLoss
Paper Title
Repository
OPNN
0.8174
-
Product-based Neural Networks for User Response Prediction
IPNN
0.7914
-
Product-based Neural Networks for User Response Prediction
DCNv3
0.7856
0.005535
FCN: Fusing Exponential and Linear Cross Network for Click-Through Rate Prediction
OptInter
0.7825
0.005604
Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction
OptInter-M
0.7800
0.00564
Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction
PNN*
0.7661
-
Product-based Neural Networks for User Response Prediction
FNN
0.7619
-
Deep Learning over Multi-field Categorical Data: A Case Study on User Response Prediction
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