LLM-Personalize introduces a framework for personalized LLM planners in household robotics, utilizing imitation learning and iterative self-training to align the planners with human preferences. The framework achieves a substantial success rate improvement over existing solutions, demonstrating enhanced alignment with user preferences in household robotics tasks.