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 201–225 of 391 papers

Title	Date	Tasks	Status
Data Efficiency for Large Recommendation Models	Oct 8, 2024	Click-Through Rate Prediction	—Unverified
Decision-Making Context Interaction Network for Click-Through Rate Prediction	Jan 29, 2023	Click-Through Rate PredictionDecision Making	—Unverified
Deep Context Interest Network for Click-Through Rate Prediction	Aug 11, 2023	Click-Through Rate PredictionPrediction	—Unverified
Deep CTR Prediction in Display Advertising	Sep 20, 2016	Click-Through Rate PredictionPrediction	—Unverified
DeepEnFM: Deep neural networks with Encoder enhanced Factorization Machine	Sep 25, 2019	Click-Through Rate Prediction	—Unverified
Deep Evolutional Instant Interest Network for CTR Prediction in Trigger-Induced Recommendation	Jan 15, 2024	Click-Through Rate Prediction	—Unverified
Deep Group Interest Modeling of Full Lifelong User Behaviors for CTR Prediction	Nov 15, 2023	Click-Through Rate Prediction	—Unverified
Deep Intention-Aware Network for Click-Through Rate Prediction	Nov 16, 2022	Click-Through Rate PredictionPrediction	—Unverified
Deep Interaction Machine: A Simple but Effective Model for High-order Feature Interactions	Jan 1, 2020	Click-Through Rate PredictionFeature Engineering	—Unverified
Deep Interaction Machine: A Simple but Effective Model for High-order Feature Interactions	Jan 1, 2020	Click-Through Rate PredictionFeature Engineering	—Unverified
Meta-Wrapper: Differentiable Wrapping Operator for User Interest Selection in CTR Prediction	Jun 28, 2022	Bilevel OptimizationClick-Through Rate Prediction	—Unverified
MIM: Multi-modal Content Interest Modeling Paradigm for User Behavior Modeling	Feb 1, 2025	Click-Through Rate PredictionCollaborative Filtering	—Unverified
MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction	Nov 30, 2021	Click-Through Rate PredictionContrastive Learning	—Unverified
Mitigate Position Bias with Coupled Ranking Bias on CTR Prediction	May 29, 2024	Click-Through Rate PredictionPosition	—Unverified
MLoRA: Multi-Domain Low-Rank Adaptive Network for CTR Prediction	Aug 14, 2024	Click-Through Rate PredictionPrediction	—Unverified
MMBAttn: Max-Mean and Bit-wise Attention for CTR Prediction	Aug 25, 2023	Click-Through Rate PredictionFeature Importance	—Unverified
Moment&Cross: Next-Generation Real-Time Cross-Domain CTR Prediction for Live-Streaming Recommendation at Kuaishou	Aug 11, 2024	Click-Through Rate Prediction	—Unverified
MTBRN: Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction	Aug 13, 2020	Click-Through Rate PredictionRecommendation Systems	—Unverified
Multi-Epoch Learning for Deep Click-Through Rate Prediction Models	May 31, 2023	Click-Through Rate PredictionData Augmentation	—Unverified
Multi-Epoch learning with Data Augmentation for Deep Click-Through Rate Prediction	Jun 27, 2024	Click-Through Rate PredictionContinual Learning	—Unverified
Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction	Dec 13, 2020	Click-Through Rate Prediction	—Unverified
Multi-Level Deep Cascade Trees for Conversion Rate Prediction in Recommendation System	May 24, 2018	Click-Through Rate PredictionEnsemble Learning	—Unverified
Mutual Learning for Finetuning Click-Through Rate Prediction Models	Jun 17, 2024	Click-Through Rate PredictionKnowledge Distillation	—Unverified
NeSHFS: Neighborhood Search with Heuristic-based Feature Selection for Click-Through Rate Prediction	Sep 13, 2024	Click-Through Rate Predictionfeature selection	—Unverified
News Popularity Beyond the Click-Through-Rate for Personalized Recommendations	Jul 18, 2023	ArticlesClick-Through Rate Prediction	—Unverified

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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	STEC	AUC	0.81	—	Unverified
10	DNN + MMBAttn	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	DeepFM	AUC	0.85	—	Unverified
6	DCNv2	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	AUC	0.99	—	Unverified
3	FinalMLP + MMBAttn	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