2026
Enhanced Recommendation Systems with Retrieval-Augmented Large Language Model (Abstract Reprint)
AAAI 2026technical
Recommender systems have long struggled with challenges such as cold start and data sparsity, which can lead to poor recommendation performance. While previous approaches have attempted to address these issues by incorporating side information, they often introduce noise, lack flexibility for data e