MMSRARec: Multimodal LLM Approach for Sequential Recommendation

This research explores the application of multimodal large language models (LLMs) in improving sequential recommendation systems. The use of summarization and retrieval augmentation suggests a novel approach to enhancing recommendation accuracy and user experience.