| FM^2: Field-matrixed Factorization Machines for Recommender Systems | Feb 20, 2021 | Click-Through Rate PredictionRecommendation Systems | —Unverified | 0 |
| HSR: Hyperbolic Social Recommender | Feb 15, 2021 | Click-Through Rate PredictionRecommendation Systems | —Unverified | 0 |
| Learning a Product Relevance Model from Click-Through Data in E-Commerce | Feb 14, 2021 | Click-Through Rate PredictionComputational Efficiency | —Unverified | 0 |
| MaskNet: Introducing Feature-Wise Multiplication to CTR Ranking Models by Instance-Guided Mask | Feb 9, 2021 | Click-Through Rate PredictionRecommendation Systems | CodeCode Available | 4 |
| One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction | Jan 27, 2021 | AllClick-Through Rate Prediction | —Unverified | 0 |
| Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction | Jan 11, 2021 | Click-Through Rate PredictionComputational Efficiency | CodeCode Available | 0 |
| Towards Practical Second Order Optimization for Deep Learning | Jan 1, 2021 | Click-Through Rate PredictionCPU | —Unverified | 0 |
| Automatic Historical Feature Generation through Tree-based Method in Ads Prediction | Dec 31, 2020 | Click-Through Rate Prediction | —Unverified | 0 |
| AdnFM: An Attentive DenseNet based Factorization Machine for CTR Prediction | Dec 20, 2020 | Click-Through Rate Prediction | —Unverified | 0 |
| An Embedding Learning Framework for Numerical Features in CTR Prediction | Dec 16, 2020 | Click-Through Rate PredictionFeature Engineering | CodeCode Available | 0 |
| Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction | Dec 13, 2020 | Click-Through Rate Prediction | —Unverified | 0 |
| Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning | Nov 25, 2020 | Click-Through Rate PredictionGaussian Processes | CodeCode Available | 1 |
| GraphHINGE: Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network | Nov 25, 2020 | Click-Through Rate Prediction | CodeCode Available | 1 |
| DADNN: Multi-Scene CTR Prediction via Domain-Aware Deep Neural Network | Nov 24, 2020 | Click-Through Rate PredictionMixture-of-Experts | —Unverified | 0 |
| CAN: Feature Co-Action for Click-Through Rate Prediction | Nov 11, 2020 | Click-Through Rate PredictionPrediction | —Unverified | 0 |
| Ensemble Knowledge Distillation for CTR Prediction | Nov 8, 2020 | Click-Through Rate PredictionKnowledge Distillation | —Unverified | 0 |
| U-rank: Utility-oriented Learning to Rank with Implicit Feedback | Nov 1, 2020 | Click-Through Rate PredictionLearning-To-Rank | —Unverified | 0 |
| Kalman Filtering Attention for User Behavior Modeling in CTR Prediction | Oct 2, 2020 | Click-Through Rate Prediction | —Unverified | 0 |
| Deep Multi-Interest Network for Click-through Rate Prediction | Oct 1, 2020 | Click-Through Rate PredictionPrediction | —Unverified | 0 |
| Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue | Sep 21, 2020 | Click-Through Rate Predictioncounterfactual | CodeCode Available | 1 |
| Field-Embedded Factorization Machines for Click-through rate prediction | Sep 13, 2020 | Click-Through Rate PredictionPrediction | CodeCode Available | 0 |
| BARS-CTR: Open Benchmarking for Click-Through Rate Prediction | Sep 12, 2020 | BenchmarkingClick-Through Rate Prediction | CodeCode Available | 1 |
| NCS4CVR: Neuron-Connection Sharing for Multi-Task Learning in Video Conversion Rate Prediction | Aug 22, 2020 | Click-Through Rate PredictionMulti-Task Learning | —Unverified | 0 |
| DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems | Aug 19, 2020 | Click-Through Rate PredictionLearning-To-Rank | CodeCode Available | 1 |
| MTBRN: Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction | Aug 13, 2020 | Click-Through Rate PredictionRecommendation Systems | —Unverified | 0 |