FIRE: Faithful Interpretable Recommendation Explanations

S. M. F. Sani, Asal Meskin, Mohammad Amanlou +1

Natural language explanations in recommender systems are often framed as a review generation task, leveraging user reviews as ground-truth supervision. While convenient, this appro…