36 citations · 37 across the 2 of their papers we have counts for
4 papers
Interactive Explanation with Varying Level of Details in an Explainable Scientific Literature Recommender System
Mouadh Guesmi, Mohamed Amine Chatti, Shoeb Joarder +4
Explainable recommender systems (RS) have traditionally followed a one-size-fits-all approach, delivering the same explanation level of detail to each user, without considering the…
Justification vs. Transparency: Why and How Visual Explanations in a Scientific Literature Recommender System
Mouadh Guesmi, Mohamed Amine Chatti, Shoeb Joarder +4
Significant attention has been paid to enhancing recommender systems (RS) with explanation facilities to help users make informed decisions and increase trust in and satisfaction w…
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…
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-…