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 251–275 of 391 papers

Title	Date	Tasks	Status
Addressing Delayed Feedback for Continuous Training with Neural Networks in CTR prediction	Jul 15, 2019	Click-Through Rate Prediction	—Unverified
Addressing Information Loss and Interaction Collapse: A Dual Enhanced Attention Framework for Feature Interaction	Mar 14, 2025	Click-Through Rate Prediction	—Unverified
A Deep Behavior Path Matching Network for Click-Through Rate Prediction	Feb 1, 2023	Click-Through Rate PredictionContrastive Learning	—Unverified
AdnFM: An Attentive DenseNet based Factorization Machine for CTR Prediction	Dec 20, 2020	Click-Through Rate Prediction	—Unverified
Adversarial Filtering Modeling on Long-term User Behavior Sequences for Click-Through Rate Prediction	Apr 25, 2022	Click-Through Rate PredictionPrediction	—Unverified
Adversarial Gradient Driven Exploration for Deep Click-Through Rate Prediction	Dec 21, 2021	Click-Through Rate PredictionRecommendation Systems	—Unverified
Adversarial Multimodal Representation Learning for Click-Through Rate Prediction	Mar 7, 2020	Click-Through Rate PredictionPrediction	—Unverified
AEFE: Automatic Embedded Feature Engineering for Categorical Features	Oct 19, 2021	Click-Through Rate PredictionFeature Engineering	—Unverified
A General Framework for Debiasing in CTR Prediction	Dec 6, 2021	Click-Through Rate PredictionPrediction	—Unverified
A General Method For Automatic Discovery of Powerful Interactions In Click-Through Rate Prediction	May 21, 2021	Click-Through Rate PredictionNeural Architecture Search	—Unverified
AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising	Aug 15, 2024	Click-Through Rate PredictionPrediction	—Unverified
All-domain Moveline Evolution Network for Click-Through Rate Prediction	Nov 18, 2024	AllClick-Through Rate Prediction	—Unverified
Alleviating Cold-start Problem in CTR Prediction with A Variational Embedding Learning Framework	Jan 17, 2022	Click-Through Rate PredictionVariational Inference	—Unverified
Always Strengthen Your Strengths: A Drift-Aware Incremental Learning Framework for CTR Prediction	Apr 17, 2023	Click-Through Rate PredictionDiversity	—Unverified
AMinerGNN: Heterogeneous Graph Neural Network for Paper Click-through Rate Prediction with Fusion Query	Aug 15, 2022	Click-Through Rate PredictionGraph Neural Network	—Unverified
An accuracy improving method for advertising click through rate prediction based on enhanced xDeepFM model	Nov 21, 2024	Click-Through Rate PredictionPrediction	—Unverified
An Audio-centric Multi-task Learning Framework for Streaming Ads Targeting on Spotify	Jun 23, 2025	Click-Through Rate PredictionMixture-of-Experts	—Unverified
An Incremental Learning framework for Large-scale CTR Prediction	Sep 1, 2022	Click-Through Rate PredictionIncremental Learning	—Unverified
A Non-sequential Approach to Deep User Interest Model for CTR Prediction	Apr 5, 2021	Click-Through Rate Prediction	—Unverified
AntM^2C: A Large Scale Dataset For Multi-Scenario Multi-Modal CTR Prediction	Aug 31, 2023	Click-Through Rate PredictionRecommendation Systems	—Unverified
APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction	Mar 30, 2022	Click-Through Rate Prediction	—Unverified
A Recommendation Model Utilizing Separation Embedding and Self-Attention for Feature Mining	Oct 19, 2024	Click-Through Rate Predictionfeature selection	—Unverified
AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction	Dec 9, 2023	Click-Through Rate PredictionCollaborative Filtering	—Unverified
Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation	Sep 5, 2021	Click-Through Rate PredictionKnowledge-Aware Recommendation	—Unverified
AutoAttention: Automatic Field Pair Selection for Attention in User Behavior Modeling	Oct 27, 2022	Click-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