yangzhang

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• Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach
• Large Language Models are Learnable Planners for Long-Term Recommendation
• Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation
• Can ChatGPT Make Fair Recommendation? A Fairness Evaluation Benchmark for Recommendation with Large Language Model
• TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation
• Prediction then Correction: An Abductive Prediction Correction Method for Sequential Recommendation
• Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation
• LightMIRM: Light Meta-learned Invariant Risk Minimization for Trustworthy Loan Default Prediction
• Mitigating Hidden Confounding Effects for Causal Recommendation
• Addressing Confounding Feature Issue for Causal Recommendation
• Causal Intervention for Leveraging Popularity Bias in Recommendation
• How to Retrain Recommender System? A Sequential Meta-Learning Approach