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Missing modalities in POI recommendations can be effectively addressed, leading to significant improvements in ranking performance and online efficiency.
LLMs can learn to intelligently route evidence across modalities to improve recommendations when data is missing, outperforming deterministic fusion methods by a significant margin.
