Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction

9 Apr 2019  ·  Bin Liu, Ruiming Tang, Yingzhi Chen, Jinkai Yu, Huifeng Guo, Yuzhou Zhang ·

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.DeepFM,DeepInterestNetwork(DIN),DeepInterestEvolutionNetwork(DIEN),DeepCrossNetwork(DCN),AttentionalFactorizationMachine(AFM),Neural Factorization Machine(NFM),AutoInt,Deep Session Interest Network(DSIN)..

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Datasets


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Task Dataset Model Metric Name Metric Value Global Rank Result Benchmark
Click-Through Rate Prediction Avazu FGCNN+IPNN AUC 0.7883 # 3
LogLoss 0.3746 # 1
Click-Through Rate Prediction Criteo FGCNN+IPNN AUC 0.8022 # 9
Log Loss 0.5388 # 15
Click-Through Rate Prediction Huawei App Store FGCNN+IPNN AUC 0.9407 # 1
Log Loss 0.1134 # 1

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