Predicting User Behavior in Smart Spaces with LLM-Enhanced Logs and Personalized Prompts
Enhancing the intelligence of smart systems, such as smart homes, smart vehicles, and smart grids, critically depends on developing sophisticated planning capabilities that can anticipate the next desired function based on historical interactions. While existing methods view user behaviors as sequen…