| Continual Learning for CTR Prediction: A Hybrid Approach | Jan 18, 2022 | Click-Through Rate PredictionContinual Learning | —Unverified | 0 |
| Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks for CTR Prediction | May 17, 2021 | Click-Through Rate Prediction | —Unverified | 0 |
| Exploration with Model Uncertainty at Extreme Scale in Real-Time Bidding | Aug 3, 2022 | Click-Through Rate Prediction | —Unverified | 0 |
| Farthest Greedy Path Sampling for Two-shot Recommender Search | Oct 31, 2023 | Click-Through Rate PredictionDiversity | —Unverified | 0 |
| ContentCTR: Frame-level Live Streaming Click-Through Rate Prediction with Multimodal Transformer | Jun 26, 2023 | Click-Through Rate PredictionDynamic Time Warping | —Unverified | 0 |
| Adversarial Gradient Driven Exploration for Deep Click-Through Rate Prediction | Dec 21, 2021 | Click-Through Rate PredictionRecommendation Systems | —Unverified | 0 |
| Confidence Ranking for CTR Prediction | Jun 28, 2023 | Click-Through Rate PredictionPrediction | —Unverified | 0 |
| On the Adaptation to Concept Drift for CTR Prediction | Apr 1, 2022 | Click-Through Rate PredictionIncremental Learning | —Unverified | 0 |
| Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation | Sep 5, 2021 | Click-Through Rate PredictionKnowledge-Aware Recommendation | —Unverified | 0 |
| AdaptDHM: Adaptive Distribution Hierarchical Model for Multi-Domain CTR Prediction | Nov 22, 2022 | Click-Through Rate PredictionRecommendation Systems | —Unverified | 0 |
| Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising | Jan 5, 2022 | Click-Through Rate PredictionCPU | —Unverified | 0 |
| Collaborative Contrastive Network for Click-Through Rate Prediction | Nov 18, 2024 | Click-Through Rate PredictionContrastive Learning | —Unverified | 0 |
| AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction | Dec 9, 2023 | Click-Through Rate PredictionCollaborative Filtering | —Unverified | 0 |
| Cold-Start based Multi-Scenario Ranking Model for Click-Through Rate Prediction | Apr 16, 2023 | Click-Through Rate Prediction | —Unverified | 0 |
| Adversarial Filtering Modeling on Long-term User Behavior Sequences for Click-Through Rate Prediction | Apr 25, 2022 | Click-Through Rate PredictionPrediction | —Unverified | 0 |
| Ensemble Knowledge Distillation for CTR Prediction | Nov 8, 2020 | Click-Through Rate PredictionKnowledge Distillation | —Unverified | 0 |
| A Recommendation Model Utilizing Separation Embedding and Self-Attention for Feature Mining | Oct 19, 2024 | Click-Through Rate Predictionfeature selection | —Unverified | 0 |
| 0/1 Deep Neural Networks via Block Coordinate Descent | Jun 19, 2022 | 10-shot image generation | —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 |
| Click-through Rate Prediction with Auto-Quantized Contrastive Learning | Sep 27, 2021 | Click-Through Rate PredictionContrastive Learning | —Unverified | 0 |
| A Bag of Tricks for Scaling CPU-based Deep FFMs to more than 300m Predictions per Second | Jul 14, 2024 | Click-Through Rate PredictionCPU | —Unverified | 0 |
| Enhancing CTR Prediction through Sequential Recommendation Pre-training: Introducing the SRP4CTR Framework | Jul 29, 2024 | Click-Through Rate PredictionSelf-Supervised Learning | —Unverified | 0 |
| Click-Through Rate Prediction Using Graph Neural Networks and Online Learning | May 9, 2021 | Binary ClassificationClick-Through Rate Prediction | —Unverified | 0 |
| Click-Through Rate Prediction in Online Advertising: A Literature Review | Feb 22, 2022 | Click-Through Rate PredictionMarketing | —Unverified | 0 |
| AntM^2C: A Large Scale Dataset For Multi-Scenario Multi-Modal CTR Prediction | Aug 31, 2023 | Click-Through Rate PredictionRecommendation Systems | —Unverified | 0 |