Predicting User Activity Intensity Using Geographic Interactions Based on Social Media Check-In Data

Predicting User Activity Intensity Using Geographic Interactions Based on Social Media Check-In Data

Predicting user activity intensity is crucial for various applications. However, existing studies have two main problems. First, as user activity intensity is nonstationary and nonlinear, traditional methods can hardly fit the nonlinear spatio-temporal relationships that characterize user mobility....

Full description

Bibliographic Details
Main Authors: Jing Li, Wenyue Guo, Haiyan Liu, Xin Chen, Anzhu Yu, Jia Li
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:ISPRS International Journal of Geo-Information
Subjects:
geographical interactions
graph convolutional network
gated recurrent unit
spatial adjacency
temporal granularity
Online Access:https://www.mdpi.com/2220-9964/10/8/555

Internet

https://www.mdpi.com/2220-9964/10/8/555

Similar Items