Hi-SAM: A Hierarchical Structure-Aware Multi-modal Framework for Large-Scale Recommendation 事件

Hi-SAM: A Hierarchical Structure-Aware Multi-modal Framework for Large-Scale Recommendation arXiv:2602.11799v2 Announce Type: replace Abstract: Multi-modal recommendation has gained traction as items possess rich attributes like text and images. Semantic ID-based approaches effectively discretize this information into compact tokens. However, two challenges persist: (1) Suboptimal Tokenization: existing methods (e.g., RQ-VAE) lack disentanglement between shared cross-modal semantics and modalit