Modeling Long and Short Term User Preferences by Leveraging Multi-Dimensional Auxiliary Information for Next POI Recommendation

Modeling Long and Short Term User Preferences by Leveraging Multi-Dimensional Auxiliary Information for Next POI Recommendation

Next Point-of-Interest (POI) recommendation has shown great value for both users and providers in location-based services. Existing methods mainly rely on partial information in users’ check-in sequences, and are brittle to users with few interactions. Moreover, they ignore the impact of multi-dimen...

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Bibliographic Details
Main Authors:	Zheng Li, Xueyuan Huang, Liupeng Gong, Ke Yuan, Chun Liu
Format:	Article
Language:	English
Published:	MDPI AG 2023-08-01
Series:	ISPRS International Journal of Geo-Information
Subjects:	next POI recommendation multi-dimensional auxiliary information cold-start meta-learning POI category filter
Online Access:	https://www.mdpi.com/2220-9964/12/9/352

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