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 101–125 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
CSPM: A Contrastive Spatiotemporal Preference Model for CTR Prediction in On-Demand Food Delivery Services	Aug 10, 2023	Click-Through Rate PredictionContrastive Learning	—Unverified
Cross Domain LifeLong Sequential Modeling for Online Click-Through Rate Prediction	Dec 11, 2023	Click-Through Rate PredictionPrediction	—Unverified
AutoFT: Automatic Fine-Tune for Parameters Transfer Learning in Click-Through Rate Prediction	Jun 9, 2021	Click-Through Rate PredictionRecommendation Systems	—Unverified
A General Framework for Debiasing in CTR Prediction	Dec 6, 2021	Click-Through Rate PredictionPrediction	—Unverified
DADIN: Domain Adversarial Deep Interest Network for Cross Domain Recommender Systems	May 20, 2023	Click-Through Rate PredictionDomain Adaptation	—Unverified
DADNN: Multi-Scene CTR Prediction via Domain-Aware Deep Neural Network	Nov 24, 2020	Click-Through Rate PredictionMixture-of-Experts	—Unverified
Data Efficiency for Large Recommendation Models	Oct 8, 2024	Click-Through Rate Prediction	—Unverified
Dimensionality reduction for click-through rate prediction: Dense versus sparse representation	Nov 27, 2013	Click-Through Rate PredictionDimensionality Reduction	—Unverified
Cross-domain Augmentation Networks for Click-Through Rate Prediction	May 6, 2023	Click-Through Rate PredictionPrediction	—Unverified
CPM-sensitive AUC for CTR prediction	Apr 23, 2019	Click-Through Rate PredictionPrediction	—Unverified
AEFE: Automatic Embedded Feature Engineering for Categorical Features	Oct 19, 2021	Click-Through Rate PredictionFeature Engineering	—Unverified
Deep Context Interest Network for Click-Through Rate Prediction	Aug 11, 2023	Click-Through Rate PredictionPrediction	—Unverified
A Click-Through Rate Prediction Method Based on Cross-Importance of Multi-Order Features	May 14, 2024	Click-Through Rate Prediction	—Unverified
DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction	Mar 11, 2022	Click-Through Rate Prediction	—Unverified
AutoAttention: Automatic Field Pair Selection for Attention in User Behavior Modeling	Oct 27, 2022	Click-Through Rate Prediction	—Unverified
Entire Space Multi-Task Modeling via Post-Click Behavior Decomposition for Conversion Rate Prediction	Oct 15, 2019	Click-Through Rate PredictionMulti-Task Learning	—Unverified
Adversarial Multimodal Representation Learning for Click-Through Rate Prediction	Mar 7, 2020	Click-Through Rate PredictionPrediction	—Unverified
Benchmarking LLMs in Recommendation Tasks: A Comparative Evaluation with Conventional Recommenders	Mar 7, 2025	BenchmarkingClick-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
Continual Transfer Learning for Cross-Domain Click-Through Rate Prediction at Taobao	Aug 11, 2022	Click-Through Rate PredictionPrediction	—Unverified
AdaSparse: Learning Adaptively Sparse Structures for Multi-Domain Click-Through Rate Prediction	Jun 27, 2022	Click-Through Rate Prediction	—Unverified
Continual Learning for CTR Prediction: A Hybrid Approach	Jan 18, 2022	Click-Through Rate PredictionContinual Learning	—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