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 76–100 of 391 papers

Title	Date	Tasks	Status	Hype
CETN: Contrast-enhanced Through Network for CTR Prediction	Dec 15, 2023	Click-Through Rate PredictionContrastive Learning	CodeCode Available	1
CL4CTR: A Contrastive Learning Framework for CTR Prediction	Dec 1, 2022	Click-Through Rate PredictionContrastive Learning	CodeCode Available	1
Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue	Sep 21, 2020	Click-Through Rate Predictioncounterfactual	CodeCode Available	1
LPFS: Learnable Polarizing Feature Selection for Click-Through Rate Prediction	Jun 1, 2022	Click-Through Rate Predictionfeature selection	CodeCode Available	1
Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Prediction Models	Sep 4, 2022	Click-Through Rate PredictionRecommendation Systems	CodeCode Available	1
Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction	Aug 3, 2021	Click-Through Rate PredictionRecommendation Systems	CodeCode Available	1
MerRec: A Large-scale Multipurpose Mercari Dataset for Consumer-to-Consumer Recommendation Systems	Feb 22, 2024	Click-Through Rate PredictionDiversity	CodeCode Available	1
Block-distributed Gradient Boosted Trees	Apr 23, 2019	Click-Through Rate PredictionLearning-To-Rank	—Unverified	0
Alleviating Cold-start Problem in CTR Prediction with A Variational Embedding Learning Framework	Jan 17, 2022	Click-Through Rate PredictionVariational Inference	—Unverified	0
AdaSparse: Learning Adaptively Sparse Structures for Multi-Domain Click-Through Rate Prediction	Jun 27, 2022	Click-Through Rate Prediction	—Unverified	0
BERT4CTR: An Efficient Framework to Combine Pre-trained Language Model with Non-textual Features for CTR Prediction	Aug 17, 2023	Click-Through Rate PredictionDimensionality Reduction	—Unverified	0
Benchmarking LLMs in Recommendation Tasks: A Comparative Evaluation with Conventional Recommenders	Mar 7, 2025	BenchmarkingClick-Through Rate Prediction	—Unverified	0
All-domain Moveline Evolution Network for Click-Through Rate Prediction	Nov 18, 2024	AllClick-Through Rate Prediction	—Unverified	0
Balancing Efficiency and Effectiveness: An LLM-Infused Approach for Optimized CTR Prediction	Dec 9, 2024	Click-Through Rate PredictionWorld Knowledge	—Unverified	0
AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising	Aug 15, 2024	Click-Through Rate PredictionPrediction	—Unverified	0
A Collaborative Ensemble Framework for CTR Prediction	Nov 20, 2024	Click-Through Rate PredictionNegation	—Unverified	0
Deep CTR Prediction in Display Advertising	Sep 20, 2016	Click-Through Rate PredictionPrediction	—Unverified	0
Automatic Historical Feature Generation through Tree-based Method in Ads Prediction	Dec 31, 2020	Click-Through Rate Prediction	—Unverified	0
A General Method For Automatic Discovery of Powerful Interactions In Click-Through Rate Prediction	May 21, 2021	Click-Through Rate PredictionNeural Architecture Search	—Unverified	0
Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction	Dec 12, 2022	Click-Through Rate PredictionPrediction	—Unverified	0
AutoFT: Automatic Fine-Tune for Parameters Transfer Learning in Click-Through Rate Prediction	Jun 9, 2021	Click-Through Rate PredictionRecommendation Systems	—Unverified	0
A General Framework for Debiasing in CTR Prediction	Dec 6, 2021	Click-Through Rate PredictionPrediction	—Unverified	0
Decision-Making Context Interaction Network for Click-Through Rate Prediction	Jan 29, 2023	Click-Through Rate PredictionDecision Making	—Unverified	0
AEFE: Automatic Embedded Feature Engineering for Categorical Features	Oct 19, 2021	Click-Through Rate PredictionFeature Engineering	—Unverified	0
A Click-Through Rate Prediction Method Based on Cross-Importance of Multi-Order Features	May 14, 2024	Click-Through Rate Prediction	—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