Geographically Insensitive Spatial-Temporal POI Recommendation Based on Heterogeneous Graph Embedding

Geographically Insensitive Spatial-Temporal POI Recommendation Based on Heterogeneous Graph Embedding

The increasingly large scale of location-based social networks (LBSN) promotes the rapid development of point-of-interest (POI) recommendation business. POI geospatial distance directly adopted by traditional methods is difficult to simulate the highly random behavior path of users. And the point-of...

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Bibliographic Details
Main Author: LI Manwen, ZHANG Yueqin, ZHANG Chenwei, ZHANG Zehua
Format: Article
Language:zho
Published: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2024-03-01
Series:Jisuanji kexue yu tansuo
Subjects:
point-of-interest (poi); heterogeneous graph embedding; geographically insensitive; poi spatial-temporal topology graph
Online Access:http://fcst.ceaj.org/fileup/1673-9418/PDF/2211098.pdf

Internet

http://fcst.ceaj.org/fileup/1673-9418/PDF/2211098.pdf

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