| Cross Domain LifeLong Sequential Modeling for Online Click-Through Rate Prediction | Dec 11, 2023 | Click-Through Rate PredictionPrediction | —Unverified | 0 |
| AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction | Dec 9, 2023 | Click-Through Rate PredictionCollaborative Filtering | —Unverified | 0 |
| Enhancing Cross-domain Click-Through Rate Prediction via Explicit Feature Augmentation | Nov 30, 2023 | Click-Through Rate PredictionTransfer Learning | —Unverified | 0 |
| Temporal Importance Factor for Loss Functions for CTR Prediction | Nov 28, 2023 | Click-Through Rate Prediction | —Unverified | 0 |
| UFIN: Universal Feature Interaction Network for Multi-Domain Click-Through Rate Prediction | Nov 27, 2023 | Click-Through Rate PredictionKnowledge Distillation | CodeCode Available | 0 |
| Deep Group Interest Modeling of Full Lifelong User Behaviors for CTR Prediction | Nov 15, 2023 | Click-Through Rate Prediction | —Unverified | 0 |
| Towards Deeper, Lighter and Interpretable Cross Network for CTR Prediction | Nov 8, 2023 | Click-Through Rate PredictionRecommendation Systems | CodeCode Available | 1 |
| A Comprehensive Summarization and Evaluation of Feature Refinement Modules for CTR Prediction | Nov 8, 2023 | BenchmarkingClick-Through Rate Prediction | CodeCode Available | 0 |
| Farthest Greedy Path Sampling for Two-shot Recommender Search | Oct 31, 2023 | Click-Through Rate PredictionDiversity | —Unverified | 0 |
| FLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction | Oct 30, 2023 | Click-Through Rate PredictionContrastive Learning | CodeCode Available | 1 |
| LLP-Bench: A Large Scale Tabular Benchmark for Learning from Label Proportions | Oct 16, 2023 | Click-Through Rate Prediction | —Unverified | 0 |
| ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction | Oct 13, 2023 | Click-Through Rate PredictionLanguage Modeling | —Unverified | 0 |
| EMOFM: Ensemble MLP mOdel with Feature-based Mixers for Click-Through Rate Prediction | Oct 6, 2023 | Click-Through Rate Prediction | —Unverified | 0 |
| Enhancing Cross-Category Learning in Recommendation Systems with Multi-Layer Embedding Training | Sep 27, 2023 | Click-Through Rate PredictionRecommendation Systems | —Unverified | 0 |
| RE-SORT: Removing Spurious Correlation in Multilevel Interaction for CTR Prediction | Sep 26, 2023 | Click-Through Rate PredictionRecommendation Systems | CodeCode Available | 0 |
| Making the Full Model Adaptive: Multi-level Domain Adaptation for Multi-Domain CTR Prediction | Sep 17, 2023 | Click-Through Rate PredictionDomain Adaptation | —Unverified | 0 |
| Scenario-Aware Hierarchical Dynamic Network for Multi-Scenario Recommendation | Sep 5, 2023 | Click-Through Rate Prediction | —Unverified | 0 |
| OutRank: Speeding up AutoML-based Model Search for Large Sparse Data sets with Cardinality-aware Feature Ranking | Sep 4, 2023 | Anomaly DetectionAutoML | CodeCode Available | 1 |
| Learning Category Trees for ID-Based Recommendation: Exploring the Power of Differentiable Vector Quantization | Aug 31, 2023 | Click-Through Rate PredictionCollaborative Filtering | CodeCode Available | 0 |
| AntM^2C: A Large Scale Dataset For Multi-Scenario Multi-Modal CTR Prediction | Aug 31, 2023 | Click-Through Rate PredictionRecommendation Systems | —Unverified | 0 |
| Fragment and Integrate Network (FIN): A Novel Spatial-Temporal Modeling Based on Long Sequential Behavior for Online Food Ordering Click-Through Rate Prediction | Aug 30, 2023 | Click-Through Rate PredictionRecommendation Systems | —Unverified | 0 |
| STEC: See-Through Transformer-based Encoder for CTR Prediction | Aug 29, 2023 | Click-Through Rate PredictionPrediction | —Unverified | 0 |
| MMBAttn: Max-Mean and Bit-wise Attention for CTR Prediction | Aug 25, 2023 | Click-Through Rate PredictionFeature Importance | —Unverified | 0 |
| Time-aligned Exposure-enhanced Model for Click-Through Rate Prediction | Aug 19, 2023 | Click-Through Rate PredictionPrediction | —Unverified | 0 |
| BERT4CTR: An Efficient Framework to Combine Pre-trained Language Model with Non-textual Features for CTR Prediction | Aug 17, 2023 | Click-Through Rate PredictionDimensionality Reduction | —Unverified | 0 |