LIBER: A Novel Framework for Lifelong User Behavior Modeling in Recommender Systems Using Large Language Models

LIBER, a novel framework leveraging large language models (LLMs), effectively models lifelong user behavior for enhanced click-through rate (CTR) prediction in recommender systems by addressing limitations of existing LLM-enhanced methods.