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 151–200 of 391 papers

Title	Date	Tasks	Status	Hype
Cold-Start based Multi-Scenario Ranking Model for Click-Through Rate Prediction	Apr 16, 2023	Click-Through Rate Prediction	—Unverified	0
FAN: Fatigue-Aware Network for Click-Through Rate Prediction in E-commerce Recommendation	Apr 10, 2023	Click-Through Rate PredictionTime Series	CodeCode Available	0
Hierarchically Fusing Long and Short-Term User Interests for Click-Through Rate Prediction in Product Search	Apr 4, 2023	Click-Through Rate PredictionDisentanglement	—Unverified	0
FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction	Apr 3, 2023	Click-Through Rate Predictionfeature selection	CodeCode Available	0
The Re-Label Method For Data-Centric Machine Learning	Feb 9, 2023	Click-Through Rate PredictionDeep Learning	CodeCode Available	0
TWIN: TWo-stage Interest Network for Lifelong User Behavior Modeling in CTR Prediction at Kuaishou	Feb 5, 2023	Click-Through Rate Prediction	CodeCode Available	1
Feature Representation Learning for Click-through Rate Prediction: A Review and New Perspectives	Feb 4, 2023	Click-Through Rate PredictionRepresentation Learning	—Unverified	0
A Deep Behavior Path Matching Network for Click-Through Rate Prediction	Feb 1, 2023	Click-Through Rate PredictionContrastive Learning	—Unverified	0
Causality-based CTR Prediction using Graph Neural Networks	Jan 30, 2023	Causal DiscoveryClick-Through Rate Prediction	—Unverified	0
Decision-Making Context Interaction Network for Click-Through Rate Prediction	Jan 29, 2023	Click-Through Rate PredictionDecision Making	—Unverified	0
Optimizing Feature Set for Click-Through Rate Prediction	Jan 26, 2023	Click-Through Rate PredictionPrediction	CodeCode Available	1
AdaEnsemble: Learning Adaptively Sparse Structured Ensemble Network for Click-Through Rate Prediction	Jan 6, 2023	Click-Through Rate PredictionMixture-of-Experts	—Unverified	0
DynInt: Dynamic Interaction Modeling for Large-scale Click-Through Rate Prediction	Jan 3, 2023	Click-Through Rate PredictionRecommendation Systems	—Unverified	0
xDeepInt: a hybrid architecture for modeling the vector-wise and bit-wise feature interactions	Jan 3, 2023	Click-Through Rate PredictionFeature Engineering	CodeCode Available	0
Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction	Dec 12, 2022	Click-Through Rate PredictionPrediction	—Unverified	0
CL4CTR: A Contrastive Learning Framework for CTR Prediction	Dec 1, 2022	Click-Through Rate PredictionContrastive Learning	CodeCode Available	1
AdaptDHM: Adaptive Distribution Hierarchical Model for Multi-Domain CTR Prediction	Nov 22, 2022	Click-Through Rate PredictionRecommendation Systems	—Unverified	0
Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation	Nov 21, 2022	Click-Through Rate PredictionKnowledge Distillation	CodeCode Available	1
Deep Intention-Aware Network for Click-Through Rate Prediction	Nov 16, 2022	Click-Through Rate PredictionPrediction	—Unverified	0
RESUS: Warm-Up Cold Users via Meta-Learning Residual User Preferences in CTR Prediction	Oct 28, 2022	Click-Through Rate PredictionMeta-Learning	CodeCode Available	0
AutoAttention: Automatic Field Pair Selection for Attention in User Behavior Modeling	Oct 27, 2022	Click-Through Rate Prediction	—Unverified	0
MemoNet: Memorizing All Cross Features' Representations Efficiently via Multi-Hash Codebook Network for CTR Prediction	Oct 25, 2022	AllClick-Through Rate Prediction	CodeCode Available	1
On-Device Model Fine-Tuning with Label Correction in Recommender Systems	Oct 21, 2022	Click-Through Rate PredictionRecommendation Systems	—Unverified	0
Deep Multi-Representation Model for Click-Through Rate Prediction	Oct 18, 2022	Click-Through Rate PredictionPrediction	CodeCode Available	0
Clustering the Sketch: A Novel Approach to Embedding Table Compression	Oct 12, 2022	Click-Through Rate PredictionClustering	CodeCode Available	1
SML:Enhance the Network Smoothness with Skip Meta Logit for CTR Prediction	Oct 9, 2022	Click-Through Rate PredictionLearning-To-Rank	—Unverified	0
KAST: Knowledge Aware Adaptive Session Multi-Topic Network for Click-Through Rate Prediction	Oct 7, 2022	Click-Through Rate PredictionRecommendation Systems	—Unverified	0
Recurrent Meta-Learning against Generalized Cold-start Problem in CTR Prediction	Oct 1, 2022	Click-Through Rate PredictionMeta-Learning	CodeCode Available	0
Boosting Deep CTR Prediction with a Plug-and-Play Pre-trainer for News Recommendation	Oct 1, 2022	Click-Through Rate PredictionNews Recommendation	CodeCode Available	0
Efficient Long Sequential User Data Modeling for Click-Through Rate Prediction	Sep 25, 2022	Click-Through Rate PredictionRecommendation Systems	CodeCode Available	0
Boost CTR Prediction for New Advertisements via Modeling Visual Content	Sep 23, 2022	Click-Through Rate PredictionPrediction	—Unverified	0
Feature embedding in click-through rate prediction	Sep 20, 2022	BenchmarkingClick-Through Rate Prediction	CodeCode Available	0
Spatiotemporal-Enhanced Network for Click-Through Rate Prediction in Location-based Services	Sep 20, 2022	AttributeClick-Through Rate Prediction	—Unverified	0
FiBiNet++: Reducing Model Size by Low Rank Feature Interaction Layer for CTR Prediction	Sep 12, 2022	Click-Through Rate PredictionRecommendation Systems	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
An Incremental Learning framework for Large-scale CTR Prediction	Sep 1, 2022	Click-Through Rate PredictionIncremental Learning	—Unverified	0
Online Meta-Learning for Model Update Aggregation in Federated Learning for Click-Through Rate Prediction	Aug 30, 2022	Click-Through Rate PredictionFederated Learning	—Unverified	0
Causal Inference in Recommender Systems: A Survey and Future Directions	Aug 26, 2022	Causal InferenceClick-Through Rate Prediction	CodeCode Available	1
Field-wise Embedding Size Search via Structural Hard Auxiliary Mask Pruning for Click-Through Rate Prediction	Aug 17, 2022	Click-Through Rate PredictionNeural Architecture Search	—Unverified	0
AMinerGNN: Heterogeneous Graph Neural Network for Paper Click-through Rate Prediction with Fusion Query	Aug 15, 2022	Click-Through Rate PredictionGraph Neural Network	—Unverified	0
Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model	Aug 12, 2022	Click-Through Rate Prediction	CodeCode Available	0
Continual Transfer Learning for Cross-Domain Click-Through Rate Prediction at Taobao	Aug 11, 2022	Click-Through Rate PredictionPrediction	—Unverified	0
OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction	Aug 9, 2022	Click-Through Rate PredictionRecommendation Systems	CodeCode Available	1
Sparse Attentive Memory Network for Click-through Rate Prediction with Long Sequences	Aug 8, 2022	Click-Through Rate PredictionRecommendation Systems	CodeCode Available	0
Exploration with Model Uncertainty at Extreme Scale in Real-Time Bidding	Aug 3, 2022	Click-Through Rate Prediction	—Unverified	0
NASRec: Weight Sharing Neural Architecture Search for Recommender Systems	Jul 14, 2022	Click-Through Rate PredictionNeural Architecture Search	CodeCode Available	1
Meta-Wrapper: Differentiable Wrapping Operator for User Interest Selection in CTR Prediction	Jun 28, 2022	Bilevel OptimizationClick-Through Rate Prediction	—Unverified	0
AdaSparse: Learning Adaptively Sparse Structures for Multi-Domain Click-Through Rate Prediction	Jun 27, 2022	Click-Through Rate Prediction	—Unverified	0
PCDF: A Parallel-Computing Distributed Framework for Sponsored Search Advertising Serving	Jun 26, 2022	Click-Through Rate PredictionRe-Ranking	—Unverified	0
0/1 Deep Neural Networks via Block Coordinate Descent	Jun 19, 2022	10-shot image generation	—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