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.

• •MMSRARec leverages multimodal LLMs for sequential recommendation.
• •The approach incorporates summarization and retrieval augmentation.
• •The research aims to improve recommendation accuracy.