1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.IR2026
The Utility of LLMs in Recommender Systems Explanation Evaluation
Kathrin Wardatzky, Oana Inel, Luca Rossetto +1
Explanations play a crucial role in creating trustworthy recommender systems (RS), yet choosing a good explanation method presents challenges. Many explanation methods exist, but l…
cs.HC2024★ 1 cited
Whom do Explanations Serve? A Systematic Literature Survey of User Characteristics in Explainable Recommender Systems Evaluation
Kathrin Wardatzky, Oana Inel, Luca Rossetto +1
Adding explanations to recommender systems is said to have multiple benefits, such as increasing user trust or system transparency. Previous work from other application areas sugge…