CKG-LLMA: Enhancing Knowledge Graph Recommendation with Large Language Models and Addressing Hallucination Issues

Introduction / Main Floor: CKG-LLMA: Enhancing Knowledge Graph Recommendation with Large Language Models and Addressing Hallucination Issues

This article introduces the CKG-LLMA framework, which uses large language models to enhance knowledge graph recommendation systems while filtering hallucinatory information that LLMs may generate through a confidence modeling mechanism, achieving more reliable recommendations and interpretability.