Showing cs.IRShow all
2 papers · 1 filter
cs.IR2025
IGDMRec: Behavior Conditioned Item Graph Diffusion for Multimodal Recommendation
Ziyuan Guo, Jie Guo, Zhenghao Chen +2
Multimodal recommender systems (MRSs) are critical for various online platforms, offering users more accurate personalized recommendations by incorporating multimodal information o…
cs.IR2025
SLIF-MR: Self-loop Iterative Fusion of Heterogeneous Auxiliary Information for Multimodal Recommendation
Jie Guo, Jiahao Jiang, Ziyuan Guo +2
Knowledge graphs (KGs) and multimodal item information, which respectively capture relational and attribute features, play a crucial role in improving recommender system accuracy.…