Large Language Model (LLM) Powered Recommendation Systems: Overview, Techniques, Challenges, and Future Directions
This article reviews how large language models are transforming recommendation systems, covering their fundamentals, recent LLM‑enabled methods for representation, learning and generalization, challenges such as scalability, bias and privacy, and future research directions including personalized prompts and robust model integration.