1. A Causal View for Item-level Effect of Recommendation on User Preference
2. Addressing Confounding Feature Issue for Causal Recommendation
3. Causal Intervention for Leveraging Popularity Bias in Recommendation
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5. Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation