Mar 22, 2024 · Our method first incorporates remote sensing data, capturing pivotal environmental context to enhance input features regarding both location and semantics.

Our method first incorporates remote sensing data, capturing pivotal environmental context to enhance input features regarding both location and semantics.

To this end, we present our innovative solution, named Two-Step Prediction Network with Remote Sensing Augmentation (TSPN-RA), for the next POI prediction task.

Apr 8, 2024 · This paper introduces a novel deep learning-based approach to next point-of-interest (POI) prediction that leverages spatial and semantic information from ...

Abstract—The next point-of-interest (POI) prediction is a significant task in location-based services, yet its complexity arises from the consolidation of ...

Co-authors ; Towards Effective Next POI Prediction: Spatial and Semantic Augmentation with Remote Sensing Data. N Jiang, H Yuan, J Si, M Chen, S Wang. arXiv ...

Towards Effective Next POI Prediction: Spatial and Semantic Augmentation with Remote Sensing Data · no code implementations • 22 Mar 2024 • Nan Jiang, Haitao ...

Jul 31, 2024 · Towards Effective Next POI Prediction: Spatial and Semantic Augmentation with Remote Sensing Data. ICDE 2024: 5061-5074. [i1]. view. electronic ...

The next point-of-interest (POI) prediction is a significant task in location-based services, yet its complexity arises from the consolidation of spatial and ...

Apr 8, 2024 · Towards Effective Next POI Prediction: Spatial and Semantic Augmentation with Remote Sensing Data. Request Code Code for Similar Papers: Code ...