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Location prediction on trajectory data: A review
Location prediction is the key technique in many location based services including route
navigation, dining location recommendations, and traffic planning and control, to mention a …
navigation, dining location recommendations, and traffic planning and control, to mention a …
Revisiting user mobility and social relationships in lbsns: a hypergraph embedding approach
Location Based Social Networks (LBSNs) have been widely used as a primary data source
to study the impact of mobility and social relationships on each other. Traditional …
to study the impact of mobility and social relationships on each other. Traditional …
A personalized privacy protection framework for mobile crowdsensing in IIoT
J ** based on collective behavior data in location-based social networks
Culture has been recognized as a driving impetus for human development. It co-evolves
with both human belief and behavior. When studying culture, Cultural Map** is a crucial …
with both human belief and behavior. When studying culture, Cultural Map** is a crucial …
Regularity and conformity: Location prediction using heterogeneous mobility data
Mobility prediction enables appealing proactive experiences for location-aware services and
offers essential intelligence to business and governments. Recent studies suggest that …
offers essential intelligence to business and governments. Recent studies suggest that …
Lbsn2vec++: Heterogeneous hypergraph embedding for location-based social networks
Location-Based Social Networks (LBSNs) have been widely used as a primary data source
for studying the impact of mobility and social relationships on each other. Traditional …
for studying the impact of mobility and social relationships on each other. Traditional …
GeoMF++ scalable location recommendation via joint geographical modeling and matrix factorization
Location recommendation is an important means to help people discover attractive
locations. However, extreme sparsity of user-location matrices leads to a severe challenge …
locations. However, extreme sparsity of user-location matrices leads to a severe challenge …
A comprehensive survey on trajectory-based location prediction
Recent explorative growth in telecommunication and telepathy technology has flooded the
market with location-based data, which paves the way for location-aware prediction …
market with location-based data, which paves the way for location-aware prediction …
Human mobility synchronization and trip purpose detection with mixture of hawkes processes
While exploring human mobility can benefit many applications such as smart transportation,
city planning, and urban economics, there are two key questions that need to be …
city planning, and urban economics, there are two key questions that need to be …
Spatiotemporal sequential influence modeling for location recommendations: A gravity-based approach
Recommending to users personalized locations is an important feature of Location-Based
Social Networks (LBSNs), which benefits users who wish to explore new places and …
Social Networks (LBSNs), which benefits users who wish to explore new places and …