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Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference for Recommendation
Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach
Addressing Unmeasured Confounder for Recommendation with Sensitivity Analysis
Interpolative Distillation for Unifying Biased and Debiased Recommendation
Causal Incremental Graph Convolution for Recommender System Retraining
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