Think Before You Act: Intention-Guided Reasoning for LLM-Based Location Prediction
Researchers have developed a new framework called IntentPOI to improve the prediction of users' next locations in location-based services. This two-stage approach first infers a user's travel intention by considering mobility patterns, peer behavior, and temporal context. Then, it uses this inferred intention to guide the selection of potential locations, moving beyond simple trajectory matching. Experiments show IntentPOI outperforms existing methods on real-world datasets. AI
IMPACT This framework could enhance the accuracy of location-based services by incorporating user intent into prediction models.