MMSRARec: Multimodal LLM Approach for Sequential Recommendation
Published:Dec 24, 2025 03:44
•1 min read
•ArXiv
Analysis
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.
Key Takeaways
Reference
“The research is based on the ArXiv repository.”