2 papers
cs.AI2026
From Counterfactual Edits to Human Narratives: LLM-Driven Interpretations for Recommender System Explanations
Vojtech Cahlik, Amir Reza Mohammadi, Rodrigo Alves +2
Recommender systems increasingly influence what users discover and consume online, yet the decision logic behind their outputs often remains opaque. Counterfactual explanation (CFX…
cs.IR2026
On the Reliability of User-Centric Evaluation of Conversational Recommender Systems
Michael Müller, Amir Reza Mohammadi, Andreas Peintner +3
User-centric evaluation has become a key paradigm for assessing Conversational Recommender Systems (CRS), aiming to capture subjective qualities such as satisfaction, trust, and ra…