36 citations · 36 across the 1 of their papers we have counts for
2 papers
cs.IR2023
Visualization for Recommendation Explainability: A Survey and New Perspectives
Mohamed Amine Chatti, Mouadh Guesmi, Arham Muslim
Providing system-generated explanations for recommendations represents an important step towards transparent and trustworthy recommender systems. Explainable recommender systems pr…
cs.AI2023★ 36 cited
Is More Always Better? The Effects of Personal Characteristics and Level of Detail on the Perception of Explanations in a Recommender System
Mohamed Amine Chatti, Mouadh Guesmi, Laura Vorgerd +4
Despite the acknowledgment that the perception of explanations may vary considerably between end-users, explainable recommender systems (RS) have traditionally followed a one-size-…