Abstract Next POI (Point of Interest) recommendation aims to recommend next POI for users
at specific time given users' historical check-ins. User relationship and preference …

With the popularity of smart mobile terminals and advances in wireless communication and
positioning technologies, Geo-Social Networks (GSNs), which combine location awareness …

Current studies mainly rely on overlap** users (who leave trajectories in both cities) as a
medium to learn travelers' preference in the target city, however it is unrealistic to find …

Visual-textual sentiment analysis could benefit user understanding in online social networks
and enable many useful applications like user profiling and recommendation. However, it …

Spatial data are a rich source of information for actuarial applications: knowledge of a risk's
location could improve an insurance company's ratemaking, reserving or risk management …

Predicting where people will consume in the future is of great significance for promoting
local business. Although the prevalence of Geo-Social Networks (GSNs) has provided …

Despite the increasing availability and spatial granularity of individuals' time-activity (TA)
data, the missing data problem, particularly long-term gaps, remains as a major limitation of …

Fine-grained location prediction on smart phones can be used to improve app/system
performance. Application scenarios include video quality adaptation as a function of the 5G …

We selected 48 European cities and gathered their public transport timetables in the GTFS
format. We utilized Uber's H3 spatial index to divide each city into hexagonal micro-regions …

Next point-of-interest (POI) recommendation is an important personalized task in location-
based social networks (LBSNs) and aims to recommend the next POI for users in a specific …