Self-EvolveRec: Self-Evolving Recommender Systems with LLM-based Directional Feedback

This paper introduces Self-EvolveRec, a novel approach to recommender systems that can self-evolve using Large Language Model (LLM)-based directional feedback. This innovation has significant real-world impact by enabling recommender systems to adapt and improve autonomously, offering more personalized and effective recommendations across various platforms like e-commerce and content streaming.