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 301350 of 391 papers

TitleStatusHype
ContentCTR: Frame-level Live Streaming Click-Through Rate Prediction with Multimodal Transformer0
Continual Learning for CTR Prediction: A Hybrid Approach0
Continual Transfer Learning for Cross-Domain Click-Through Rate Prediction at Taobao0
Entire Space Multi-Task Modeling via Post-Click Behavior Decomposition for Conversion Rate Prediction0
CPM-sensitive AUC for CTR prediction0
Cross-domain Augmentation Networks for Click-Through Rate Prediction0
Cross Domain LifeLong Sequential Modeling for Online Click-Through Rate Prediction0
CSPM: A Contrastive Spatiotemporal Preference Model for CTR Prediction in On-Demand Food Delivery Services0
CTRL: Connect Collaborative and Language Model for CTR Prediction0
DADIN: Domain Adversarial Deep Interest Network for Cross Domain Recommender Systems0
DADNN: Multi-Scene CTR Prediction via Domain-Aware Deep Neural Network0
Data Efficiency for Large Recommendation Models0
Decision-Making Context Interaction Network for Click-Through Rate Prediction0
Deep Context Interest Network for Click-Through Rate Prediction0
Deep CTR Prediction in Display Advertising0
DeepEnFM: Deep neural networks with Encoder enhanced Factorization Machine0
Deep Evolutional Instant Interest Network for CTR Prediction in Trigger-Induced Recommendation0
Deep Group Interest Modeling of Full Lifelong User Behaviors for CTR Prediction0
Deep Intention-Aware Network for Click-Through Rate Prediction0
Deep Interaction Machine: A Simple but Effective Model for High-order Feature Interactions0
Deep Interaction Machine: A Simple but Effective Model for High-order Feature Interactions0
Deeply Supervised Semantic Model for Click-Through Rate Prediction in Sponsored Search0
Deep Multi-Interest Network for Click-through Rate Prediction0
Deep Page-Level Interest Network in Reinforcement Learning for Ads Allocation0
Deep Pattern Network for Click-Through Rate Prediction0
Deep Time-Stream Framework for Click-Through Rate Prediction by Tracking Interest Evolution0
DELTA: Dynamic Embedding Learning with Truncated Conscious Attention for CTR Prediction0
DemiNet: Dependency-Aware Multi-Interest Network with Self-Supervised Graph Learning for Click-Through Rate Prediction0
DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction0
Differentiable Neural Input Search for Recommender Systems0
Dimensionality reduction for click-through rate prediction: Dense versus sparse representation0
Distributed Flexible Nonlinear Tensor Factorization0
Dual Graph enhanced Embedding Neural Network for CTR Prediction0
Dynamic Parameterized Network for CTR Prediction0
Dynamic Sequential Graph Learning for Click-Through Rate Prediction0
DynInt: Dynamic Interaction Modeling for Large-scale Click-Through Rate Prediction0
Efficient Click-Through Rate Prediction for Developing Countries via Tabular Learning0
LREA: Low-Rank Efficient Attention on Modeling Long-Term User Behaviors for CTR Prediction0
Efficient Long Sequential User Data Modeling for Click-Through Rate Prediction0
Efficient Transfer Learning Framework for Cross-Domain Click-Through Rate Prediction0
EMOFM: Ensemble MLP mOdel with Feature-based Mixers for Click-Through Rate Prediction0
End-to-End User Behavior Retrieval in Click-Through RatePrediction Model0
Enhanced Exploration in Neural Feature Selection for Deep Click-Through Rate Prediction Models via Ensemble of Gating Layers0
Enhancing Cross-Category Learning in Recommendation Systems with Multi-Layer Embedding Training0
Enhancing Cross-domain Click-Through Rate Prediction via Explicit Feature Augmentation0
Enhancing CTR Prediction in Recommendation Domain with Search Query Representation0
Enhancing CTR Prediction through Sequential Recommendation Pre-training: Introducing the SRP4CTR Framework0
Enhancing Explicit and Implicit Feature Interactions via Information Sharing for Parallel Deep CTR Models0
Ensemble Knowledge Distillation for CTR Prediction0
Explainable CTR Prediction via LLM Reasoning0
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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
9DNN + MMBAttnAUC0.81Unverified
10STECAUC0.81Unverified
#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
5DCNv2AUC0.85Unverified
6DeepFMAUC0.85Unverified
#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
2FinalMLP + MMBAttnAUC0.99Unverified
3FinalMLPAUC0.99Unverified
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