LLM-Based Contrastive Explanations in Black-Box Recommender Systems
Modern recommender systems use ML models to predict consumer preferences from consumption history. Although these black-box models achieve impressive predictive performance, they often suffer from a lack of transparency and explainability. Contrary to the...
paper address：https://arxiv.org/