Shuaiyang Li

Bidirectional Counterfactual Distillation for Review-Based Recommendation

Review-based recommendation methods typically integrate multiple behaviors, including interactions, reviews, and ratings, to model user preferences. To effectively extract preference signals from diverse behaviors, some studies train multiple student models to capture distinct behavioral patterns, a