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 101–150 of 391 papers

Title	Date	Tasks	Status	Score
An Embedding Learning Framework for Numerical Features in CTR Prediction	Dec 16, 2020	Click-Through Rate PredictionFeature Engineering	CodeCode Available	5
Recurrent Meta-Learning against Generalized Cold-start Problem in CTR Prediction	Oct 1, 2022	Click-Through Rate PredictionMeta-Learning	CodeCode Available	5
Correct Normalization Matters: Understanding the Effect of Normalization On Deep Neural Network Models For Click-Through Rate Prediction	Jun 23, 2020	Click-Through Rate Prediction	CodeCode Available	5
A Universal Framework for Compressing Embeddings in CTR Prediction	Feb 21, 2025	Click-Through Rate PredictionContrastive Learning	CodeCode Available	5
Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data	Jul 1, 2018	Click-Through Rate PredictionFeature Engineering	CodeCode Available	5
Progressive Layered Extraction (PLE): A Novel Multi-Task Learning (MTL) Model for Personalized Recommendations	Feb 22, 2020	Click-Through Rate PredictionMulti-Task Learning	CodeCode Available	5
RE-SORT: Removing Spurious Correlation in Multilevel Interaction for CTR Prediction	Sep 26, 2023	Click-Through Rate PredictionRecommendation Systems	CodeCode Available	5
Scene-wise Adaptive Network for Dynamic Cold-start Scenes Optimization in CTR Prediction	Aug 3, 2024	Click-Through Rate PredictionDiversity	CodeCode Available	5
ContextNet: A Click-Through Rate Prediction Framework Using Contextual information to Refine Feature Embedding	Jul 26, 2021	Click-Through Rate PredictionRecommendation Systems	CodeCode Available	5
Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts	Jul 19, 2018	Binary ClassificationClick-Through Rate Prediction	CodeCode Available	5
Mixed Dimension Embeddings with Application to Memory-Efficient Recommendation Systems	Sep 25, 2019	Click-Through Rate PredictionCollaborative Filtering	CodeCode Available	5
MoE-MLoRA for Multi-Domain CTR Prediction: Efficient Adaptation with Expert Specialization	Jun 9, 2025	Click-Through Rate PredictionDiversity	CodeCode Available	5
AutoRec: An Automated Recommender System	Jun 26, 2020	AutoMLClick-Through Rate Prediction	CodeCode Available	5
Learning Category Trees for ID-Based Recommendation: Exploring the Power of Differentiable Vector Quantization	Aug 31, 2023	Click-Through Rate PredictionCollaborative Filtering	CodeCode Available	5
Click-Through Rate Prediction with the User Memory Network	Jul 9, 2019	Click-Through Rate PredictionPrediction	CodeCode Available	5
A Dual Input-aware Factorization Machine for CTR Prediction	Jul 1, 2020	Click-Through Rate Prediction	CodeCode Available	5
Hybrid CNN Based Attention with Category Prior for User Image Behavior Modeling	May 5, 2022	Click-Through Rate PredictionPrediction	CodeCode Available	5
i-Razor: A Differentiable Neural Input Razor for Feature Selection and Dimension Search in DNN-Based Recommender Systems	Apr 1, 2022	Click-Through Rate PredictionFeature Engineering	CodeCode Available	5
MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction	Aug 3, 2023	Binary ClassificationClick-Through Rate Prediction	CodeCode Available	5
Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction	May 22, 2019	Click-Through Rate PredictionRecommendation Systems	CodeCode Available	5
Generating Multi-type Temporal Sequences to Mitigate Class-imbalanced Problem	Apr 7, 2021	BIG-bench Machine LearningClick-Through Rate Prediction	CodeCode Available	5
CELA: Cost-Efficient Language Model Alignment for CTR Prediction	May 17, 2024	Click-Through Rate PredictionCollaborative Filtering	CodeCode Available	5
An End-to-End Neighborhood-based Interaction Model for Knowledge-enhanced Recommendation	Aug 12, 2019	Click-Through Rate PredictionKnowledge Graphs	CodeCode Available	5
Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction	Jan 11, 2021	Click-Through Rate PredictionComputational Efficiency	CodeCode Available	5
Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models	Nov 24, 2024	Click-Through Rate PredictionNeural Architecture Search	CodeCode Available	5
A Comprehensive Summarization and Evaluation of Feature Refinement Modules for CTR Prediction	Nov 8, 2023	BenchmarkingClick-Through Rate Prediction	CodeCode Available	5
FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction	Apr 3, 2023	Click-Through Rate Predictionfeature selection	CodeCode Available	5
GateNet: Gating-Enhanced Deep Network for Click-Through Rate Prediction	Jul 6, 2020	Click-Through Rate PredictionRecommendation Systems	CodeCode Available	5
Differentiable NAS Framework and Application to Ads CTR Prediction	Oct 25, 2021	Click-Through Rate PredictionNeural Architecture Search	CodeCode Available	5
FedCTR: Federated Native Ad CTR Prediction with Multi-Platform User Behavior Data	Jul 23, 2020	Click-Through Rate PredictionPrediction	CodeCode Available	5
Field-aware factorization machines for CTR prediction	Sep 7, 2016	Click-Through Rate PredictionPrediction	CodeCode Available	5
Deep Spatio-Temporal Neural Networks for Click-Through Rate Prediction	Jun 10, 2019	Click-Through Rate PredictionPrediction	CodeCode Available	5
Feature embedding in click-through rate prediction	Sep 20, 2022	BenchmarkingClick-Through Rate Prediction	CodeCode Available	5
Deep Session Interest Network for Click-Through Rate Prediction	May 16, 2019	Click-Through Rate PredictionDeep Learning	CodeCode Available	5
Deep Position-wise Interaction Network for CTR Prediction	Jun 10, 2021	Click-Through Rate PredictionPosition	CodeCode Available	5
Feature Fusion Revisited: Multimodal CTR Prediction for MMCTR Challenge	Apr 26, 2025	Click-Through Rate PredictionInformation Retrieval	CodeCode Available	5
Field-Embedded Factorization Machines for Click-through rate prediction	Sep 13, 2020	Click-Through Rate PredictionPrediction	CodeCode Available	5
FAT-DeepFFM: Field Attentive Deep Field-aware Factorization Machine	May 15, 2019	Click-Through Rate PredictionFeature Importance	CodeCode Available	5
Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction	Apr 9, 2019	Click-Through Rate PredictionDeep Learning	CodeCode Available	5
Feature Staleness Aware Incremental Learning for CTR Prediction	Apr 29, 2025	Click-Through Rate PredictionIncremental Learning	CodeCode Available	5
Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate	Apr 21, 2018	Click-Through Rate PredictionRecommendation Systems	CodeCode Available	5
Ensemble Learning via Knowledge Transfer for CTR Prediction	Nov 25, 2024	Click-Through Rate PredictionEnsemble Learning	CodeCode Available	5
Deep Multi-Representation Model for Click-Through Rate Prediction	Oct 18, 2022	Click-Through Rate PredictionPrediction	CodeCode Available	5
Deep Match to Rank Model for Personalized Click-Through Rate Prediction	Apr 1, 2020	Click-Through Rate PredictionCollaborative Filtering	CodeCode Available	5
Boosting Deep CTR Prediction with a Plug-and-Play Pre-trainer for News Recommendation	Oct 1, 2022	Click-Through Rate PredictionNews Recommendation	CodeCode Available	5
DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction	May 25, 2025	Click-Through Rate PredictionRecommendation Systems	CodeCode Available	5
Deep Learning over Multi-field Categorical Data: A Case Study on User Response Prediction	Jan 11, 2016	Click-Through Rate Prediction	CodeCode Available	5
FAN: Fatigue-Aware Network for Click-Through Rate Prediction in E-commerce Recommendation	Apr 10, 2023	Click-Through Rate PredictionTime Series	CodeCode Available	5
DKN: Deep Knowledge-Aware Network for News Recommendation	Jan 25, 2018	Click-Through Rate PredictionCommon Sense Reasoning	CodeCode Available	5
Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising	Jun 9, 2018	Click-Through Rate PredictionPrediction	CodeCode Available	5

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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