Leveraging multimodal large language model for multimodal sequential recommendation

Abstract Multimodal large language models (MLLMs) have demonstrated remarkable superiority in various vision-language tasks due to their unparalleled cross-modal comprehension capabilities and extensive world knowledge, offering promising research paradigms to address the insufficient information ex...

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Bibliographic Details

Published in:	Scientific Reports
Main Authors:	Zhaoliang Wang, Baisong Liu, Weiming Huang, Tingting Hao, Huiqian Zhou, Yuxin Guo
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-08-01
Subjects:	Recommender systems Sequential recommendation Multimodal recommendation Multimodal large language model
Online Access:	https://doi.org/10.1038/s41598-025-14251-1