TimeRoute: Time-Aware Modality Routing and Diffusion for Multi-Modal Recommendation
Multi-modal recommenders fuse user-item interaction signals with item modalities such as text, images, and audio, but the usefulness of each drifts over time and at different rates. For example, around Valentine's Day, chocolate purchases become less driven by textual ingredient cues and more by visual packaging and ambient audio. This \emph{modality time-scale mismatch} gives rise to two coupled challenges: (1) users with different temporal behavior profiles require different modality proportions, and (2) less relevant modalities are more likely to introduce outdated or misleading signals into the recommender. We address both challenges within a unified diffusion-based recommender, \text...
| Authors | Pengyu Zhang, Yangqin Jiang, Klim Zaporojets et al. |
|---|---|
| Primary category | cs.IR |
| Published | 11 August 2026 |
| Last updated at source | 24 August 2026 |
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