With the fast development of various positioning techniques such as Global Position System
(GPS), mobile devices and remote sensing, spatio-temporal data has become increasingly …

The emergence of Location-based social networks (LBSNs) in recent years has boosted
improvements in Recommender Systems for a new and specific task: the recommendation of …

With the rapid development of Information Technology, there exist massive amounts of data
available on the Internet, which result in a severe information overload problem. Especially …

Point of Interest (POI) recommendation algorithms can help users find the POIs that they
prefer, and they can also help merchants to find potential customers. However, most existing …

The widespread use of distributed energy sources (DERs) raises significant challenges for
power system design, planning, and operation, leading to wide adaptation of tools on …

Next Point-of-interest (POI) recommendation is a key task in improving location-related
customer experiences and business operations, but yet remains challenging due to the …

Location prediction based on spatio-temporal footprints in social media is instrumental to
various applications, such as travel behavior studies, crowd detection, traffic control, and …

In e-commerce, users' demands are not only conditioned by their profile and preferences,
but also by their recent purchases that may generate new demands, as well as periodical …

Human mobility data accumulated from Point-of-Interest (POI) check-ins provides great
opportunity for user behavior understanding. However, data quality issues (eg, geolocation …

The problem of trip recommendation has been extensively studied in recent years, by both
researchers and practitioners. However, one of its key aspects—understanding human …