Per-sequence modality masking during training makes multi-modal sequential recommenders retain 1.0 to 3.2x more accuracy when text or images are missing at serving time.
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Sequential Modality Dropout for Robust Multi-Modal Sequential Recommendation
Per-sequence modality masking during training makes multi-modal sequential recommenders retain 1.0 to 3.2x more accuracy when text or images are missing at serving time.