Discovering User’s Trends and Routines from Location Based Social Networks
Location data is a powerful source of information to discover user’s trends and routines. A suitable identification of the user context can be exploited to provide automatically services adapted to the user preferences. In this paper, we define a Dynamic Bayesian Network model and propose a method t...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-10-01
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Series: | Proceedings |
Subjects: | |
Online Access: | https://www.mdpi.com/2504-3900/2/19/1222 |