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A survey on deep learning for human mobility
The study of human mobility is crucial due to its impact on several aspects of our society,
such as disease spreading, urban planning, well-being, pollution, and more. The …
such as disease spreading, urban planning, well-being, pollution, and more. The …
PrivCheck: Privacy-preserving check-in data publishing for personalized location based services
With the widespread adoption of smartphones, we have observed an increasing popularity
of Location-Based Services (LBSs) in the past decade. To improve user experience, LBSs …
of Location-Based Services (LBSs) in the past decade. To improve user experience, LBSs …
Venice through the lens of Instagram: A visual narrative of tourism in Venice
The last decade has seen a huge expansion in the use of social media to extract data about
human behaviour. While metadata and textual information have taken the lion's share as …
human behaviour. While metadata and textual information have taken the lion's share as …
Geographic differential privacy for mobile crowd coverage maximization
For real-world mobile applications such as location-based advertising and spatial
crowdsourcing, a key to success is targeting mobile users that can maximally cover certain …
crowdsourcing, a key to success is targeting mobile users that can maximally cover certain …
Understanding the potential risks of sharing elevation information on fitness applications
The extensive use of smartphones and wearable devices has facilitated many useful
applications. For example, with Global Positioning System (GPS)-equipped smart and …
applications. For example, with Global Positioning System (GPS)-equipped smart and …
Quantifying privacy loss of human mobility graph topology
Human mobility is often represented as a mobility network, or graph, with nodes
representing places of significance which an individual visits, such as their home, work …
representing places of significance which an individual visits, such as their home, work …
DART: De-Anonymization of personal gazetteers through social trajectories
The interest in trajectory data has sensibly increased since the widespread of mobile
devices. Simple clustering techniques allow the recognition of personal gazetteers, ie, the …
devices. Simple clustering techniques allow the recognition of personal gazetteers, ie, the …