Deep learning for spatio-temporal data mining: A survey
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 …
(GPS), mobile devices and remote sensing, spatio-temporal data has become increasingly …
Points of interest recommendations: methods, evaluation, and future directions
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 …
improvements in Recommender Systems for a new and specific task: the recommendation of …
Attentive sequential model based on graph neural network for next poi recommendation
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 …
available on the Internet, which result in a severe information overload problem. Especially …
Spatial-temporal deep learning for hosting capacity analysis in distribution grids
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 …
power system design, planning, and operation, leading to wide adaptation of tools on …
CTRec: A long-short demands evolution model for continuous-time recommendation
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 …
but also by their recent purchases that may generate new demands, as well as periodical …
A BiLSTM-CNN model for predicting users' next locations based on geotagged social media
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 …
various applications, such as travel behavior studies, crowd detection, traffic control, and …
Cha: Categorical hierarchy-based attention for next poi recommendation
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 …
customer experiences and business operations, but yet remains challenging due to the …
Modeling hierarchical category transition for next POI recommendation with uncertain check-ins
Most existing next POI recommendation studies rely on users' certain check-ins at individual
POIs (eg, Italian restaurant). In reality, users may leave some uncertain check-ins in the …
POIs (eg, Italian restaurant). In reality, users may leave some uncertain check-ins in the …
Modelling of bi-directional spatio-temporal dependence and users' dynamic preferences for missing poi check-in identification
Human mobility data accumulated from Point-of-Interest (POI) check-ins provides great
opportunity for user behavior understanding. However, data quality issues (eg, geolocation …
opportunity for user behavior understanding. However, data quality issues (eg, geolocation …
Exploiting geographical-temporal awareness attention for next point-of-interest recommendation
With the prosperity of the location-based social networks, next point-of-interest (POI)
recommendation has become an increasingly significant requirement since it can benefit …
recommendation has become an increasingly significant requirement since it can benefit …