SOTAVerified

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

Showing 351391 of 391 papers

TitleStatusHype
Feature Generation by Convolutional Neural Network for Click-Through Rate PredictionCode0
Sparse Tensor Additive Regression0
Knowledge Graph Convolutional Networks for Recommender SystemsCode1
Field-aware Neural Factorization Machine for Click-Through Rate Prediction0
Structured Semantic Model supported Deep Neural Network for Click-Through Rate PredictionCode0
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural NetworksCode2
Deep Interest Evolution Network for Click-Through Rate PredictionCode0
Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-ExpertsCode0
Product-based Neural Networks for User Response Prediction over Multi-field Categorical DataCode0
Visualizing and Understanding Deep Neural Networks in CTR Prediction0
Field-weighted Factorization Machines for Click-Through Rate Prediction in Display AdvertisingCode0
Multi-Level Deep Cascade Trees for Conversion Rate Prediction in Recommendation System0
Improving Native Ads CTR Prediction by Large Scale Event Embedding and Recurrent Networks0
Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion RateCode0
DeepFM: An End-to-End Wide & Deep Learning Framework for CTR PredictionCode0
You Must Have Clicked on this Ad by Mistake! Data-Driven Identification of Accidental Clicks on Mobile Ads with Applications to Advertiser Cost Discounting and Click-Through Rate Prediction0
Deeply Supervised Semantic Model for Click-Through Rate Prediction in Sponsored Search0
xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender SystemsCode1
RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender SystemsCode1
DKN: Deep Knowledge-Aware Network for News RecommendationCode0
Image Matters: Visually modeling user behaviors using Advanced Model Server0
An Ensemble-based Approach to Click-Through Rate Prediction for Promoted Listings at EtsyCode1
Deep & Cross Network for Ad Click PredictionsCode1
Rocket Launching: A Universal and Efficient Framework for Training Well-performing Light NetCode0
Deep Character-Level Click-Through Rate Prediction for Sponsored SearchCode0
PBODL : Parallel Bayesian Online Deep Learning for Click-Through Rate Prediction in Tencent Advertising System0
Deep Interest Network for Click-Through Rate PredictionCode1
Learning Piece-wise Linear Models from Large Scale Data for Ad Click Prediction0
DeepFM: A Factorization-Machine based Neural Network for CTR PredictionCode1
Click Through Rate Prediction for Contextual Advertisment Using Linear Regression0
Product-based Neural Networks for User Response PredictionCode0
Deep CTR Prediction in Display Advertising0
Field-aware factorization machines for CTR predictionCode0
Towards Personality-Aware Recommendation0
Wide & Deep Learning for Recommender SystemsCode1
Distributed Flexible Nonlinear Tensor Factorization0
Deep Learning over Multi-field Categorical Data: A Case Study on User Response PredictionCode0
Provable Sparse Tensor Decomposition0
Using Neural Networks for Click Prediction of Sponsored Search0
Predicting clicks in online display advertising with latent features and side-information0
Dimensionality reduction for click-through rate prediction: Dense versus sparse representation0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1QNN-αAUC0.82Unverified
2FCNAUC0.82Unverified
3GDCNAUC0.82Unverified
4MemoNetAUC0.82Unverified
5TF4CTRAUC0.82Unverified
6FinalMLP + MMBAttnAUC0.81Unverified
7FinalMLPAUC0.81Unverified
8CETNAUC0.81Unverified
9STECAUC0.81Unverified
10DNN + MMBAttnAUC0.81Unverified
#ModelMetricClaimedVerifiedStatus
1OptInterAUC0.81Unverified
2OptInter-MAUC0.81Unverified
3CELSAUC0.8Unverified
4FCNAUC0.8Unverified
5CETNAUC0.8Unverified
6OptFSAUC0.8Unverified
7OptEmbedAUC0.79Unverified
8Sparse Deep FwFMAUC0.79Unverified
9FGCNN+IPNNAUC0.79Unverified
10Fi-GNNAUC0.78Unverified
#ModelMetricClaimedVerifiedStatus
1DeepFMAUC0.87Unverified
2FNNAUC0.87Unverified
3Wide & Deep (LR & DNN)AUC0.87Unverified
4PNN*AUC0.87Unverified
5IPNNAUC0.87Unverified
6Wide & Deep (FM & DNN)AUC0.87Unverified
7OPNNAUC0.87Unverified
8DeepMCPAUC0.77Unverified
#ModelMetricClaimedVerifiedStatus
1xDeepFMAUC0.84Unverified
2Wide & DeepAUC0.84Unverified
3DeepFMAUC0.84Unverified
4PNNAUC0.83Unverified
5RippleNetAUC0.68Unverified
6DKNAUC0.66Unverified
7DNNAUC0.03Unverified
#ModelMetricClaimedVerifiedStatus
1OPNNAUC0.82Unverified
2IPNNAUC0.79Unverified
3FCNAUC0.79Unverified
4OptInterAUC0.78Unverified
5OptInter-MAUC0.78Unverified
6PNN*AUC0.77Unverified
7FNNAUC0.76Unverified
#ModelMetricClaimedVerifiedStatus
1FCNAUC0.86Unverified
2DeepIMAUC0.85Unverified
3xDeepFMAUC0.85Unverified
4AutoInt+AUC0.85Unverified
5DeepFMAUC0.85Unverified
6DCNv2AUC0.85Unverified
#ModelMetricClaimedVerifiedStatus
1STECAUC0.97Unverified
2KNIAUC0.94Unverified
3RippleNetAUC0.92Unverified
4MKRAUC0.92Unverified
5DCNv3AUC0.91Unverified
6AutoIntAUC0.85Unverified
#ModelMetricClaimedVerifiedStatus
1github.com/guotong1988/movielens_datasetAUC0.79Unverified
2DIN + Dice ActivationAUC0.73Unverified
3DINAUC0.73Unverified
4DeepFMAUC0.73Unverified
5PNNAUC0.73Unverified
6Wide & DeepAUC0.73Unverified
#ModelMetricClaimedVerifiedStatus
1DIN + Dice ActivationAUC0.89Unverified
2DINAUC0.88Unverified
3DeepFMAUC0.87Unverified
4PNNAUC0.87Unverified
5Wide & DeepAUC0.86Unverified
#ModelMetricClaimedVerifiedStatus
1xDeepFMAUC0.86Unverified
2DeepFMAUC0.85Unverified
3PNNAUC0.84Unverified
4Wide & DeepAUC0.84Unverified
5DNNAUC0.83Unverified
#ModelMetricClaimedVerifiedStatus
1TF4CTRAUC0.99Unverified
2FinalMLPAUC0.99Unverified
3FinalMLP + MMBAttnAUC0.99Unverified
4DNN + MMBAttnAUC0.99Unverified
5AFN+AUC0.98Unverified
#ModelMetricClaimedVerifiedStatus
1FCNAUC0.81Unverified
2MemoNetAUC0.81Unverified
3OptEmbedAUC0.8Unverified
4OptFSAUC0.8Unverified
5AutoIntAUC0.79Unverified
#ModelMetricClaimedVerifiedStatus
1TF4CTRAUC0.97Unverified
2FinalMLPAUC0.97Unverified
3AFN+AUC0.95Unverified
#ModelMetricClaimedVerifiedStatus
1DSTN-IAUC0.84Unverified
2DeepMCPAUC0.79Unverified
#ModelMetricClaimedVerifiedStatus
1KGCN-sumAUC0.74Unverified
2RippleNetAUC0.73Unverified
#ModelMetricClaimedVerifiedStatus
1KGCN-concatAUC0.8Unverified
2MKRAUC0.69Unverified
#ModelMetricClaimedVerifiedStatus
1DIENAUC0.78Unverified
#ModelMetricClaimedVerifiedStatus
1NormDNNAUC0.74Unverified
#ModelMetricClaimedVerifiedStatus
1MKRAUC0.73Unverified
#ModelMetricClaimedVerifiedStatus
1FGCNN+IPNNAUC0.94Unverified