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cs.IR2025
Multimodal Representation-disentangled Information Bottleneck for Multimodal Recommendation
Hui Wang, Jinghui Qin, Wushao Wen +3
Multimodal data has significantly advanced recommendation systems by integrating diverse information sources to model user preferences and item characteristics. However, these syst…
cs.IR2024
Mirror Gradient: Towards Robust Multimodal Recommender Systems via Exploring Flat Local Minima
Shanshan Zhong, Zhongzhan Huang, Daifeng Li +3
Multimodal recommender systems utilize various types of information to model user preferences and item features, helping users discover items aligned with their interests. The inte…