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Forgetting in hyperbolic continual learning is driven by semantic drift and hierarchical distortion, revealing critical insights for preserving multimodal representations.
Grounding item representations in user behavior can dramatically elevate the accuracy of sequential recommendations, bridging the gap between semantic understanding and real-world interactions.
