Pre-Trained Semantic Embeddings for POI Categories Based on Multiple Contexts

The past decade has witnessed the increasingly created point-of-interest (POI) data, which are utilized to express the semantics of places. To understand the POI semantics, current methods usually embed POI categories into a latent space via certain trajectory sequential models, while neglecting the...

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Veröffentlicht in:	IEEE transactions on knowledge and data engineering 2023-09, Vol.35 (9), p.1-12
Hauptverfasser:	Bing, Junxiang, Chen, Meng, Yang, Min, Huang, Weiming, Gong, Yongshun, Nie, Liqiang
Format:	Artikel
Sprache:	eng
Schlagworte:	Categories Check-in data Context modeling Data models Embedding Graphical models multiple contexts Museums POI category embeddings POI semantics Semantics Spatial data spatial distributions Task analysis Trajectory
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