From Prompting to Behavioral Alignment: Personalized LLM Judges for Recommendation Evaluation

Alireza S. Ziabari, Kat Ellis, Colleen Chan +1

Traditional offline recommendation evaluation relies heavily on complex, manually maintained feature pipelines that are difficult to scale. While Large Language Models (LLMs) offer…