How mobility gives language models a deeper understanding of place

Google Research · 1 month ago · 12

Mobility-Embedded POIs (ME-POIs) introduced a mobility-informed framework that turns language-model place representations into embeddings capturing places’ temporal activity rhythms. It reported up to an 81.9% relative gain in predicting visit intent, a 75.1% improvement in price level classification, and a 24.7% increase in busyness estimation accuracy on unseen places. As a result, AI can better infer real-world attributes like opening hours, price levels, and busyness from aggregate mobility plus text, including for sparse places, without enabling individual personalization.