| Contrastive Information Transfer for Pre-Ranking Systems | Jul 7, 2022 | Recommendation SystemsRe-Ranking | —Unverified | 0 |
| Contrastive Learning for Recommender System | Jan 5, 2021 | Collaborative FilteringContrastive Learning | —Unverified | 0 |
| Entire Space Multi-Task Modeling via Post-Click Behavior Decomposition for Conversion Rate Prediction | Oct 15, 2019 | Click-Through Rate PredictionMulti-Task Learning | —Unverified | 0 |
| Correcting for Selection Bias in Learning-to-rank Systems | Jan 29, 2020 | counterfactualLearning-To-Rank | —Unverified | 0 |
| Correcting the User Feedback-Loop Bias for Recommendation Systems | Sep 13, 2021 | Recommendation SystemsSelection bias | —Unverified | 0 |
| CounterCLR: Counterfactual Contrastive Learning with Non-random Missing Data in Recommendation | Feb 8, 2024 | Contrastive Learningcounterfactual | —Unverified | 0 |
| Cross-Dataset Propensity Estimation for Debiasing Recommender Systems | Dec 22, 2022 | Causal InferenceQuantization | —Unverified | 0 |
| DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation | Feb 13, 2023 | counterfactualMulti-Task Learning | —Unverified | 0 |
| Debiased Graph Neural Networks with Agnostic Label Selection Bias | Jan 19, 2022 | parameter estimationSelection bias | —Unverified | 0 |
| Machine Learning Inference on Inequality of Opportunity | Jun 10, 2022 | BIG-bench Machine LearningModel Selection | —Unverified | 0 |
