| CTRL: Connect Collaborative and Language Model for CTR Prediction | Jun 5, 2023 | Click-Through Rate PredictionLanguage Modeling | —Unverified | 0 |
| Graph Based Long-Term And Short-Term Interest Model for Click-Through Rate Prediction | Jun 5, 2023 | Click-Through Rate Prediction | —Unverified | 0 |
| Multi-Epoch Learning for Deep Click-Through Rate Prediction Models | May 31, 2023 | Click-Through Rate PredictionData Augmentation | —Unverified | 0 |
| DADIN: Domain Adversarial Deep Interest Network for Cross Domain Recommender Systems | May 20, 2023 | Click-Through Rate PredictionDomain Adaptation | —Unverified | 0 |
| Cross-domain Augmentation Networks for Click-Through Rate Prediction | May 6, 2023 | Click-Through Rate PredictionPrediction | —Unverified | 0 |
| DELTA: Dynamic Embedding Learning with Truncated Conscious Attention for CTR Prediction | May 3, 2023 | Click-Through Rate Prediction | —Unverified | 0 |
| Always Strengthen Your Strengths: A Drift-Aware Incremental Learning Framework for CTR Prediction | Apr 17, 2023 | Click-Through Rate PredictionDiversity | —Unverified | 0 |
| 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 |
| 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 |
| 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 |
| AdaptDHM: Adaptive Distribution Hierarchical Model for Multi-Domain CTR Prediction | Nov 22, 2022 | Click-Through Rate PredictionRecommendation Systems | —Unverified | 0 |
| 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 |
| 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 |
| 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 |
| 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 |
| Recurrent Meta-Learning against Generalized Cold-start Problem in CTR Prediction | Oct 1, 2022 | Click-Through Rate PredictionMeta-Learning | CodeCode Available | 0 |
| Efficient Long Sequential User Data Modeling for Click-Through Rate Prediction | Sep 25, 2022 | Click-Through Rate PredictionRecommendation Systems | —Unverified | 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 |
| 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 |
| 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 | —Unverified | 0 |
| Continual Transfer Learning for Cross-Domain Click-Through Rate Prediction at Taobao | Aug 11, 2022 | Click-Through Rate PredictionPrediction | —Unverified | 0 |
| 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 |
| 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 |
| PHN: Parallel heterogeneous network with soft gating for CTR prediction | Jun 18, 2022 | Click-Through Rate Prediction | —Unverified | 0 |
| Soft Retargeting Network for Click Through Rate Prediction | Jun 4, 2022 | Click-Through Rate PredictionGraph Embedding | —Unverified | 0 |
| HIEN: Hierarchical Intention Embedding Network for Click-Through Rate Prediction | Jun 1, 2022 | AttributeClick-Through Rate Prediction | —Unverified | 0 |
| Sampling Is All You Need on Modeling Long-Term User Behaviors for CTR Prediction | May 20, 2022 | AllClick-Through Rate Prediction | —Unverified | 0 |