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
CTRL: Connect Collaborative and Language Model for CTR Prediction	Jun 5, 2023	Click-Through Rate PredictionLanguage Modeling	—Unverified
Graph Based Long-Term And Short-Term Interest Model for Click-Through Rate Prediction	Jun 5, 2023	Click-Through Rate Prediction	—Unverified
Multi-Epoch Learning for Deep Click-Through Rate Prediction Models	May 31, 2023	Click-Through Rate PredictionData Augmentation	—Unverified
DADIN: Domain Adversarial Deep Interest Network for Cross Domain Recommender Systems	May 20, 2023	Click-Through Rate PredictionDomain Adaptation	—Unverified
Cross-domain Augmentation Networks for Click-Through Rate Prediction	May 6, 2023	Click-Through Rate PredictionPrediction	—Unverified
DELTA: Dynamic Embedding Learning with Truncated Conscious Attention for CTR Prediction	May 3, 2023	Click-Through Rate Prediction	—Unverified
Always Strengthen Your Strengths: A Drift-Aware Incremental Learning Framework for CTR Prediction	Apr 17, 2023	Click-Through Rate PredictionDiversity	—Unverified
Cold-Start based Multi-Scenario Ranking Model for Click-Through Rate Prediction	Apr 16, 2023	Click-Through Rate Prediction	—Unverified
FAN: Fatigue-Aware Network for Click-Through Rate Prediction in E-commerce Recommendation	Apr 10, 2023	Click-Through Rate PredictionTime Series	CodeCode Available
Hierarchically Fusing Long and Short-Term User Interests for Click-Through Rate Prediction in Product Search	Apr 4, 2023	Click-Through Rate PredictionDisentanglement	—Unverified
FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction	Apr 3, 2023	Click-Through Rate Predictionfeature selection	CodeCode Available
The Re-Label Method For Data-Centric Machine Learning	Feb 9, 2023	Click-Through Rate PredictionDeep Learning	CodeCode Available
Feature Representation Learning for Click-through Rate Prediction: A Review and New Perspectives	Feb 4, 2023	Click-Through Rate PredictionRepresentation Learning	—Unverified
A Deep Behavior Path Matching Network for Click-Through Rate Prediction	Feb 1, 2023	Click-Through Rate PredictionContrastive Learning	—Unverified
Causality-based CTR Prediction using Graph Neural Networks	Jan 30, 2023	Causal DiscoveryClick-Through Rate Prediction	—Unverified
Decision-Making Context Interaction Network for Click-Through Rate Prediction	Jan 29, 2023	Click-Through Rate PredictionDecision Making	—Unverified
AdaEnsemble: Learning Adaptively Sparse Structured Ensemble Network for Click-Through Rate Prediction	Jan 6, 2023	Click-Through Rate PredictionMixture-of-Experts	—Unverified
DynInt: Dynamic Interaction Modeling for Large-scale Click-Through Rate Prediction	Jan 3, 2023	Click-Through Rate PredictionRecommendation Systems	—Unverified
xDeepInt: a hybrid architecture for modeling the vector-wise and bit-wise feature interactions	Jan 3, 2023	Click-Through Rate PredictionFeature Engineering	CodeCode Available
Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction	Dec 12, 2022	Click-Through Rate PredictionPrediction	—Unverified
AdaptDHM: Adaptive Distribution Hierarchical Model for Multi-Domain CTR Prediction	Nov 22, 2022	Click-Through Rate PredictionRecommendation Systems	—Unverified
Deep Intention-Aware Network for Click-Through Rate Prediction	Nov 16, 2022	Click-Through Rate PredictionPrediction	—Unverified
RESUS: Warm-Up Cold Users via Meta-Learning Residual User Preferences in CTR Prediction	Oct 28, 2022	Click-Through Rate PredictionMeta-Learning	CodeCode Available
AutoAttention: Automatic Field Pair Selection for Attention in User Behavior Modeling	Oct 27, 2022	Click-Through Rate Prediction	—Unverified
On-Device Model Fine-Tuning with Label Correction in Recommender Systems	Oct 21, 2022	Click-Through Rate PredictionRecommendation Systems	—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	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