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 251–300 of 391 papers

Title	Date	Tasks	Status
Visual Encoding and Debiasing for CTR Prediction	May 9, 2022	Click-Through Rate PredictionContrastive Learning	—Unverified
v-TCM: Vertical-aware Transformer Click Model for Web Search	May 6, 2022	Click-Through Rate PredictionPrediction	—Unverified
Hybrid CNN Based Attention with Category Prior for User Image Behavior Modeling	May 5, 2022	Click-Through Rate PredictionPrediction	CodeCode Available
Gating-adapted Wavelet Multiresolution Analysis for Exposure Sequence Modeling in CTR prediction	Apr 29, 2022	Click-Through Rate Prediction	—Unverified
Adversarial Filtering Modeling on Long-term User Behavior Sequences for Click-Through Rate Prediction	Apr 25, 2022	Click-Through Rate PredictionPrediction	—Unverified
Single-shot Embedding Dimension Search in Recommender System	Apr 7, 2022	Click-Through Rate PredictionRecommendation Systems	—Unverified
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
Rethinking Position Bias Modeling with Knowledge Distillation for CTR Prediction	Apr 1, 2022	Click-Through Rate PredictionKnowledge Distillation	—Unverified
Deep Page-Level Interest Network in Reinforcement Learning for Ads Allocation	Apr 1, 2022	Click-Through Rate Predictionreinforcement-learning	—Unverified
On the Adaptation to Concept Drift for CTR Prediction	Apr 1, 2022	Click-Through Rate PredictionIncremental Learning	—Unverified
APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction	Mar 30, 2022	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
Click-Through Rate Prediction in Online Advertising: A Literature Review	Feb 22, 2022	Click-Through Rate PredictionMarketing	—Unverified
Learn over Past, Evolve for Future: Search-based Time-aware Recommendation with Sequential Behavior Data	Feb 7, 2022	Click-Through Rate Prediction	—Unverified
Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer	Jan 25, 2022	Click-Through Rate PredictionRepresentation Learning	—Unverified
Continual Learning for CTR Prediction: A Hybrid Approach	Jan 18, 2022	Click-Through Rate PredictionContinual Learning	—Unverified
Alleviating Cold-start Problem in CTR Prediction with A Variational Embedding Learning Framework	Jan 17, 2022	Click-Through Rate PredictionVariational Inference	—Unverified
GCWSNet: Generalized Consistent Weighted Sampling for Scalable and Accurate Training of Neural Networks	Jan 7, 2022	Click-Through Rate Prediction	—Unverified
Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising	Jan 5, 2022	Click-Through Rate PredictionCPU	—Unverified
MOEF: Modeling Occasion Evolution in Frequency Domain for Promotion-Aware Click-Through Rate Prediction	Dec 27, 2021	Click-Through Rate PredictionRecommendation Systems	CodeCode Available
Adversarial Gradient Driven Exploration for Deep Click-Through Rate Prediction	Dec 21, 2021	Click-Through Rate PredictionRecommendation Systems	—Unverified
Enhanced Exploration in Neural Feature Selection for Deep Click-Through Rate Prediction Models via Ensemble of Gating Layers	Dec 7, 2021	Click-Through Rate PredictionEnsemble Learning	—Unverified
A General Framework for Debiasing in CTR Prediction	Dec 6, 2021	Click-Through Rate PredictionPrediction	—Unverified
MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction	Nov 30, 2021	Click-Through Rate PredictionContrastive Learning	—Unverified
Dynamic Parameterized Network for CTR Prediction	Nov 9, 2021	Click-Through Rate PredictionPrediction	—Unverified
Enhancing Explicit and Implicit Feature Interactions via Information Sharing for Parallel Deep CTR Models	Oct 30, 2021	Click-Through Rate PredictionRecommendation Systems	—Unverified
Differentiable NAS Framework and Application to Ads CTR Prediction	Oct 25, 2021	Click-Through Rate PredictionNeural Architecture Search	CodeCode Available
AEFE: Automatic Embedded Feature Engineering for Categorical Features	Oct 19, 2021	Click-Through Rate PredictionFeature Engineering	—Unverified
CareGraph: A Graph-based Recommender System for Diabetes Self-Care	Sep 29, 2021	Click-Through Rate PredictionKnowledge Graph Embeddings	—Unverified
Feature Shapley: A general framework to discovering useful feature interactions	Sep 29, 2021	Click-Through Rate Prediction	—Unverified
Click-through Rate Prediction with Auto-Quantized Contrastive Learning	Sep 27, 2021	Click-Through Rate PredictionContrastive Learning	—Unverified
Dynamic Sequential Graph Learning for Click-Through Rate Prediction	Sep 26, 2021	Click-Through Rate PredictionGraph Learning	—Unverified
DemiNet: Dependency-Aware Multi-Interest Network with Self-Supervised Graph Learning for Click-Through Rate Prediction	Sep 26, 2021	Click-Through Rate PredictionDenoising	—Unverified
Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation	Sep 5, 2021	Click-Through Rate PredictionKnowledge-Aware Recommendation	—Unverified
TSI: an Ad Text Strength Indicator using Text-to-CTR and Semantic-Ad-Similarity	Aug 18, 2021	Click-Through Rate PredictionRetrieval	—Unverified
End-to-End User Behavior Retrieval in Click-Through RatePrediction Model	Aug 10, 2021	Click-Through Rate PredictionRecommendation Systems	—Unverified
Leaf-FM: A Learnable Feature Generation Factorization Machine for Click-Through Rate Prediction	Jul 26, 2021	Click-Through Rate PredictionFeature Engineering	—Unverified
ContextNet: A Click-Through Rate Prediction Framework Using Contextual information to Refine Feature Embedding	Jul 26, 2021	Click-Through Rate PredictionRecommendation Systems	CodeCode Available
Online Interaction Detection for Click-Through Rate Prediction	Jun 27, 2021	Click-Through Rate PredictionPrediction	—Unverified
Deep Position-wise Interaction Network for CTR Prediction	Jun 10, 2021	Click-Through Rate PredictionPosition	CodeCode Available
AutoFT: Automatic Fine-Tune for Parameters Transfer Learning in Click-Through Rate Prediction	Jun 9, 2021	Click-Through Rate PredictionRecommendation Systems	—Unverified
Dual Graph enhanced Embedding Neural Network for CTR Prediction	Jun 1, 2021	Click-Through Rate PredictionPrediction	—Unverified
A General Method For Automatic Discovery of Powerful Interactions In Click-Through Rate Prediction	May 21, 2021	Click-Through Rate PredictionNeural Architecture Search	—Unverified
Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks for CTR Prediction	May 17, 2021	Click-Through Rate Prediction	—Unverified
Looking at CTR Prediction Again: Is Attention All You Need?	May 12, 2021	AllClick-Through Rate Prediction	—Unverified
Click-Through Rate Prediction Using Graph Neural Networks and Online Learning	May 9, 2021	Binary ClassificationClick-Through Rate Prediction	—Unverified
Improving Conversational Recommendation System by Pretraining on Billions Scale of Knowledge Graph	Apr 30, 2021	Click-Through Rate PredictionConversational Recommendation	—Unverified
Efficient Click-Through Rate Prediction for Developing Countries via Tabular Learning	Apr 15, 2021	Click-Through Rate PredictionPrediction	—Unverified
Generating Multi-type Temporal Sequences to Mitigate Class-imbalanced Problem	Apr 7, 2021	BIG-bench Machine LearningClick-Through Rate Prediction	CodeCode Available
A Non-sequential Approach to Deep User Interest Model for CTR Prediction	Apr 5, 2021	Click-Through Rate Prediction	—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