Safety-Aware Next-POI Recommendation with Large Language Models
A safety-aware next-POI recommendation method that leverages a Large Language Model (LLM) to generate predictions informed by both mobility patterns and crime-derived safety signals that substantially improves the safety profile of recommended POIs and surpasses state-of-the-art baselines in overall accuracy.