AINeutralarXiv – CS AI · 9h ago6/10
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CausalPOI: Spatio-Temporal Graph-Based Causal Modeling for Cold-Start POI Check-in Forecasting
Researchers introduce CausalPOI, a spatio-temporal graph-based machine learning framework designed to predict check-in patterns for newly opened Points of Interest by modeling causal relationships between locations. The approach outperforms existing methods by capturing functional dependencies between POIs rather than relying solely on proximity, offering improved forecasting accuracy for urban planning applications.