Capturing User Preferences via Multi-Perspective Hypergraphs with Contrastive Learning for Next-Location Prediction

Capturing User Preferences via Multi-Perspective Hypergraphs with Contrastive Learning for Next-Location Prediction

With the widespread adoption of mobile devices and the increasing availability of user trajectory data, accurately predicting the next location a user will visit has become a pivotal task in location-based services. Despite recent progress, existing methods often fail to effectively disentangle the...

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Bibliographic Details
Main Authors: Fengyu Liu, Kexin Zhang, Chao Lian, Yunong Tian
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Applied Sciences
Subjects:
location prediction
human mobility
disentangled representation
hypergraph neural networks
contrastive learning
Online Access:https://www.mdpi.com/2076-3417/15/14/7672
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