Click-Through Rate Prediction

Click-through rate prediction is the task of predicting the likelihood that something on a website (such as an advertisement) will be clicked.

( Image credit: Deep Spatio-Temporal Neural Networks for Click-Through Rate Prediction )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 301–325 of 391 papers

Title	Date	Tasks	Status	Hype
MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction	Aug 7, 2020	Click-Through Rate PredictionPrediction	CodeCode Available	1
Iterative Boosting Deep Neural Networks for Predicting Click-Through Rate	Jul 26, 2020	Click-Through Rate PredictionFeature Engineering	—Unverified	0
FedCTR: Federated Native Ad CTR Prediction with Multi-Platform User Behavior Data	Jul 23, 2020	Click-Through Rate PredictionPrediction	CodeCode Available	0
GateNet: Gating-Enhanced Deep Network for Click-Through Rate Prediction	Jul 6, 2020	Click-Through Rate PredictionRecommendation Systems	CodeCode Available	0
A Dual Input-aware Factorization Machine for CTR Prediction	Jul 1, 2020	Click-Through Rate Prediction	CodeCode Available	0
Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction	Jun 29, 2020	Click-Through Rate PredictionLearning-To-Rank	—Unverified	0
TFNet: Multi-Semantic Feature Interaction for CTR Prediction	Jun 29, 2020	Click-Through Rate PredictionPrediction	—Unverified	0
AutoRec: An Automated Recommender System	Jun 26, 2020	AutoMLClick-Through Rate Prediction	CodeCode Available	0
Correct Normalization Matters: Understanding the Effect of Normalization On Deep Neural Network Models For Click-Through Rate Prediction	Jun 23, 2020	Click-Through Rate Prediction	CodeCode Available	0
Category-Specific CNN for Visual-aware CTR Prediction at JD.com	Jun 18, 2020	Click-Through Rate Prediction	—Unverified	0
Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction	Jun 10, 2020	Click-Through Rate PredictionRecommendation Systems	CodeCode Available	1
Training with Multi-Layer Embeddings for Model Reduction	Jun 10, 2020	Click-Through Rate Predictionmodel	—Unverified	0
Differentiable Neural Input Search for Recommender Systems	Jun 8, 2020	Click-Through Rate PredictionRecommendation Systems	—Unverified	0
Feature Interaction based Neural Network for Click-Through Rate Prediction	Jun 7, 2020	Click-Through Rate PredictionPrediction	—Unverified	0
User Behavior Retrieval for Click-Through Rate Prediction	May 28, 2020	Click-Through Rate PredictionPrediction	CodeCode Available	1
Deep Interest with Hierarchical Attention Network for Click-Through Rate Prediction	May 22, 2020	Click-Through Rate Prediction	CodeCode Available	1
Deep Match to Rank Model for Personalized Click-Through Rate Prediction	Apr 1, 2020	Click-Through Rate PredictionCollaborative Filtering	CodeCode Available	0
AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction	Mar 25, 2020	Click-Through Rate PredictionRecommendation Systems	CodeCode Available	1
Adversarial Multimodal Representation Learning for Click-Through Rate Prediction	Mar 7, 2020	Click-Through Rate PredictionPrediction	—Unverified	0
ShadowSync: Performing Synchronization in the Background for Highly Scalable Distributed Training	Mar 7, 2020	Click-Through Rate PredictionRecommendation Systems	—Unverified	0
Progressive Layered Extraction (PLE): A Novel Multi-Task Learning (MTL) Model for Personalized Recommendations	Feb 22, 2020	Click-Through Rate PredictionMulti-Task Learning	CodeCode Available	0
DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving	Feb 17, 2020	Click-Through Rate PredictionPrediction	CodeCode Available	1
Interpretable Click-Through Rate Prediction through Hierarchical Attention	Jan 20, 2020	Click-Through Rate PredictionMarketing	CodeCode Available	1
Deep Time-Stream Framework for Click-Through Rate Prediction by Tracking Interest Evolution	Jan 8, 2020	Click-Through Rate Prediction	—Unverified	0
Deep Interaction Machine: A Simple but Effective Model for High-order Feature Interactions	Jan 1, 2020	Click-Through Rate PredictionFeature Engineering	—Unverified	0

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All datasets Criteo Avazu Company*Bing News iPinYou KKBox MovieLens 1M MovieLens 20M Amazon Dianping Frappe KDD12

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	QNN-α	AUC	0.82	—	Unverified
2	FCN	AUC	0.82	—	Unverified
3	GDCN	AUC	0.82	—	Unverified
4	MemoNet	AUC	0.82	—	Unverified
5	TF4CTR	AUC	0.82	—	Unverified
6	FinalMLP + MMBAttn	AUC	0.81	—	Unverified
7	FinalMLP	AUC	0.81	—	Unverified
8	CETN	AUC	0.81	—	Unverified
9	DNN + MMBAttn	AUC	0.81	—	Unverified
10	STEC	AUC	0.81	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	OptInter	AUC	0.81	—	Unverified
2	OptInter-M	AUC	0.81	—	Unverified
3	CELS	AUC	0.8	—	Unverified
4	FCN	AUC	0.8	—	Unverified
5	CETN	AUC	0.8	—	Unverified
6	OptFS	AUC	0.8	—	Unverified
7	OptEmbed	AUC	0.79	—	Unverified
8	Sparse Deep FwFM	AUC	0.79	—	Unverified
9	FGCNN+IPNN	AUC	0.79	—	Unverified
10	Fi-GNN	AUC	0.78	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DeepFM	AUC	0.87	—	Unverified
2	FNN	AUC	0.87	—	Unverified
3	Wide & Deep (LR & DNN)	AUC	0.87	—	Unverified
4	PNN*	AUC	0.87	—	Unverified
5	IPNN	AUC	0.87	—	Unverified
6	Wide & Deep (FM & DNN)	AUC	0.87	—	Unverified
7	OPNN	AUC	0.87	—	Unverified
8	DeepMCP	AUC	0.77	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	xDeepFM	AUC	0.84	—	Unverified
2	Wide & Deep	AUC	0.84	—	Unverified
3	DeepFM	AUC	0.84	—	Unverified
4	PNN	AUC	0.83	—	Unverified
5	RippleNet	AUC	0.68	—	Unverified
6	DKN	AUC	0.66	—	Unverified
7	DNN	AUC	0.03	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	OPNN	AUC	0.82	—	Unverified
2	IPNN	AUC	0.79	—	Unverified
3	FCN	AUC	0.79	—	Unverified
4	OptInter	AUC	0.78	—	Unverified
5	OptInter-M	AUC	0.78	—	Unverified
6	PNN*	AUC	0.77	—	Unverified
7	FNN	AUC	0.76	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FCN	AUC	0.86	—	Unverified
2	DeepIM	AUC	0.85	—	Unverified
3	xDeepFM	AUC	0.85	—	Unverified
4	AutoInt+	AUC	0.85	—	Unverified
5	DCNv2	AUC	0.85	—	Unverified
6	DeepFM	AUC	0.85	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	STEC	AUC	0.97	—	Unverified
2	KNI	AUC	0.94	—	Unverified
3	RippleNet	AUC	0.92	—	Unverified
4	MKR	AUC	0.92	—	Unverified
5	DCNv3	AUC	0.91	—	Unverified
6	AutoInt	AUC	0.85	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	github.com/guotong1988/movielens_dataset	AUC	0.79	—	Unverified
2	DIN + Dice Activation	AUC	0.73	—	Unverified
3	DIN	AUC	0.73	—	Unverified
4	DeepFM	AUC	0.73	—	Unverified
5	PNN	AUC	0.73	—	Unverified
6	Wide & Deep	AUC	0.73	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DIN + Dice Activation	AUC	0.89	—	Unverified
2	DIN	AUC	0.88	—	Unverified
3	DeepFM	AUC	0.87	—	Unverified
4	PNN	AUC	0.87	—	Unverified
5	Wide & Deep	AUC	0.86	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	xDeepFM	AUC	0.86	—	Unverified
2	DeepFM	AUC	0.85	—	Unverified
3	PNN	AUC	0.84	—	Unverified
4	Wide & Deep	AUC	0.84	—	Unverified
5	DNN	AUC	0.83	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TF4CTR	AUC	0.99	—	Unverified
2	FinalMLP + MMBAttn	AUC	0.99	—	Unverified
3	FinalMLP	AUC	0.99	—	Unverified
4	DNN + MMBAttn	AUC	0.99	—	Unverified
5	AFN+	AUC	0.98	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FCN	AUC	0.81	—	Unverified
2	MemoNet	AUC	0.81	—	Unverified
3	OptEmbed	AUC	0.8	—	Unverified
4	OptFS	AUC	0.8	—	Unverified
5	AutoInt	AUC	0.79	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TF4CTR	AUC	0.97	—	Unverified
2	FinalMLP	AUC	0.97	—	Unverified
3	AFN+	AUC	0.95	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DSTN-I	AUC	0.84	—	Unverified
2	DeepMCP	AUC	0.79	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	KGCN-sum	AUC	0.74	—	Unverified
2	RippleNet	AUC	0.73	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	KGCN-concat	AUC	0.8	—	Unverified
2	MKR	AUC	0.69	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DIEN	AUC	0.78	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	NormDNN	AUC	0.74	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MKR	AUC	0.73	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FGCNN+IPNN	AUC	0.94	—	Unverified