2 papers
cs.IR2026
Beyond Modality Harmony: Orthogonal Purification and Topology-Guided MoE for Conflict-Aware Multimodal Recommendation
Jialin Liu, Zhaorui Zhang, Ray C. C. Cheung
Multimodal Recommender Systems (MRSs) typically rely on a flawed "modality harmony" assumption, presuming that multimodal features are inherently beneficial and strictly aligned wi…
cs.LG2026
MoToRec: Sparse-Regularized Multimodal Tokenization for Cold-Start Recommendation
Jialin Liu, Zhaorui Zhang, Ray C. C. Cheung
Graph neural networks (GNNs) have revolutionized recommender systems by effectively modeling complex user-item interactions, yet data sparsity and the item cold-start problem signi…