Correct Normalization Matters: Understanding the Effect of Normalization On Deep Neural Network Models For Click-Through Rate Prediction

23 Jun 2020 Zhiqiang Wang Qingyun She PengTao Zhang Junlin Zhang

Normalization has become one of the most fundamental components in many deep neural networks for machine learning tasks while deep neural network has also been widely used in CTR estimation field. Among most of the proposed deep neural network models, few model utilize normalization approaches... (read more)

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Datasets


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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Click-Through Rate Prediction Android Malware Dataset NormDNN AUC 0.7402 # 1
Click-Through Rate Prediction Criteo NormDNN AUC 0.8107 # 3

Methods used in the Paper


METHOD TYPE
Batch Normalization
Normalization