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Papers/Feature Generation by Convolutional Neural Network for Cli...

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

Bin Liu, Ruiming Tang, Yingzhi Chen, Jinkai Yu, Huifeng Guo, Yuzhou Zhang

2019-04-09Click-Through Rate PredictionDeep LearningRecommendation Systems
PaperPDFCodeCodeCodeCodeCodeCode

Abstract

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)

Results

TaskDatasetMetricValueModel
Click-Through Rate PredictionAvazuAUC0.7883FGCNN+IPNN
Click-Through Rate PredictionAvazuLogLoss0.3746FGCNN+IPNN
Click-Through Rate PredictionHuawei App StoreAUC0.9407FGCNN+IPNN
Click-Through Rate PredictionHuawei App StoreLog Loss0.1134FGCNN+IPNN

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