PRINCE: Provider-side Interpretability with Counterfactual Explanations in Recommender Systems

Azin Ghazimatin, Oana Balalau, Rishiraj Saha Roy +1

Interpretable explanations for recommender systems and other machine learning models are crucial to gain user trust. Prior works that have focused on paths connecting users and ite…