TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK
Click-Through Rate Prediction	Avazu	FGCNN+IPNN	AUC	0.7883	# 8
Click-Through Rate Prediction	Avazu	FGCNN+IPNN	LogLoss	0.3746	# 6
Click-Through Rate Prediction	Huawei App Store	FGCNN+IPNN	AUC	0.9407	# 1
Click-Through Rate Prediction	Huawei App Store	FGCNN+IPNN	Log Loss	0.1134	# 1

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	`[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/feature-generation-by-convolutional-neural/click-through-rate-prediction-on-huawei-app)](https://paperswithcode.com/sota/click-through-rate-prediction-on-huawei-app?p=feature-generation-by-convolutional-neural)`
	`[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/feature-generation-by-convolutional-neural/click-through-rate-prediction-on-avazu)](https://paperswithcode.com/sota/click-through-rate-prediction-on-avazu?p=feature-generation-by-convolutional-neural)`

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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shenweichen/DeepCTR

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PaddlePaddle/PaddleRec

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shenweichen/DeepCTR-PyTorch

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xue-pai/FuxiCTR

774

UlionTse/mlgb

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Ranked #1 on Click-Through Rate Prediction on Huawei App Store

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Task	Dataset	Model	Metric Name	Metric Value	Global Rank	Benchmark
Click-Through Rate Prediction	Avazu	FGCNN+IPNN	AUC	0.7883	# 8	Compare
Click-Through Rate Prediction	Avazu	FGCNN+IPNN	LogLoss	0.3746	# 6	Compare
Click-Through Rate Prediction	Huawei App Store	FGCNN+IPNN	AUC	0.9407	# 1	Compare
Click-Through Rate Prediction	Huawei App Store	FGCNN+IPNN	Log Loss	0.1134	# 1	Compare

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