UPTRec: Fusing User Graph, Point-of-Interest Transitions, and Temporal Embeddings for Next Point-of-Interest Recommendations

Next Point-of-Interest (POI) recommendations are pivotal for enhancing location-based services; however, accurate prediction remains challenging due to the complex interplay between dynamic user preferences and spatiotemporal constraints. Existing graph-sequence hybrids often fail to unify these dim...

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Главные авторы:	Junxia Li, Linyuan Xia, Yuezhen Cai, Qianxia Li
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2026-03-01
Серии:	ISPRS International Journal of Geo-Information
Предметы:	POI recommendation graph neural networks spatiotemporal modeling user similarity POI transition graph transformer
Online-ссылка:	https://www.mdpi.com/2220-9964/15/3/122
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