ChatDiet: Empowering Personalized Nutrition-Oriented Food Recommender Chatbots through an LLM-Augmented Framework

arXiv:2403.00781v1 Announce Type: cross
Abstract: The profound impact of food on health necessitates advanced nutrition-oriented food recommendation services. Conventional methods often lack the crucial elements of personalization, explainability, and interactivity. While Large Language Models (LLMs) bring interpretability and explainability, their standalone use falls short of achieving true personalization. In this paper, we introduce ChatDiet, a novel LLM-powered framework designed specifically for personalized nutrition-oriented food recommendation chatbots. ChatDiet integrates personal and population models, complemented by an orchestrator, to seamlessly retrieve and …

abstract advanced arxiv chatbots cs.ai cs.ir cs.lg cs.mm explainability food framework health impact interpretability language language models large language large language models llm llms nutrition personalization personalized recommendation services through true type