Counterfactual-Empowered Causal Analysis and Trustworthiness Verification for Recommendation Results
Recommender systems are widely used in e-commerce to alleviate information overload, yet the nonlinear decision mechanisms of neural recommenders make it difficult to verify whether an identified feature is genuinely responsible for a recommendation. To address this problem, this study proposes a counterfactual-empower...