Ionuț-Dragoș Neremzoiu

Simulating Users to Evaluate LLM-Generated Explanations in Recommender Systems: A Unified Agentic Framework and Empirical Study with Preliminary Results

This work formalise recommendation as a Partially Observable Markov Decision Process and proposes a unified, three-tier agentic framework that couples a simulation environment (RecoWorld), a reproducible policy engine (RecBole), and a cognitive LLM user agent.