Personalized region of interest recommendation through adaptive fusion of multi-dimensional user preferences

Personalized region of interest recommendation through adaptive fusion of multi-dimensional user preferences

Abstract Region of interest (ROI) recommendation is essential for delivering personalized suggestions and optimizing resource allocation. This process involves analyzing users’ historical check-in data within location networks, which helps capture spatial activity preferences and predict regional mo...

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Bibliographic Details
Main Authors: Qing Tang, Shenghua Xu, Zhuolu Wang, Yong Wang, Shichuan Liu, Haiqin Hua
Format: Article
Language:English
Published: SpringerOpen 2025-07-01
Series:Journal of Big Data
Subjects:
Location-based social networks
Regional movement pattern
Multi-dimensional user preferences
Adaptive weighting model
ROI recommendation
Online Access:https://doi.org/10.1186/s40537-025-01224-4
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https://doi.org/10.1186/s40537-025-01224-4

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