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Diffusion Models for Generative Outfit Recommendation
Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation
Proactive Recommendation with Iterative Preference Guidance
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
RecAD: Towards A Unified Library for Recommender Attack and Defense
Diffusion Recommender Model
Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation
Counterfactual Active Learning for Out-of-Distribution Generalization
Interpolative Distillation for Unifying Biased and Debiased Recommendation
Causal Inference in Recommender Systems: A Survey and Future Directions
Causal Representation Learning for Out-of-Distribution Recommendation
Deconfounded Recommendation for Alleviating Bias Amplification
Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue
Denoising Implicit Feedback for Recommendation
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