Point of interest (POI) recommendation is an important task in location-based social
networks. It plays a critical role in smart tourism and makes it more likely for tourists to have …

Variability in social app usage across regions results in a high skew of the quantity and the
quality of check-in data collected, which in turn is a challenge for effective location …

Next Point-of-Interest (POI) recommendation models have been demonstrated as powerful
in using sparse, complex spatial-temporal trajectory data to recommend the following POI to …

POI (point-of-interest) recommendation as an important type of location-based services has
received increasing attention with the rise of location-based social networks. Although …

Due to the great advances in mobility techniques, an increasing number of point-of-interest
(POI)-related services have emerged, which could help users to navigate or predict POIs that …

Abstract Point-of-interest (POI) recommendation is a challenging problem due to different
contextual information and a wide variety of human mobility patterns. Prior studies focus on …

With more and more frequent population movement between different cities, like users' travel
or business trip, recommending personalized cross-city Point-of-Interests (POIs) for these …

Abstract Point-of-interest (POI) recommendation is important in location-based applications
and has attracted considerable research interest. Despite the inspiring achievements of POI …

Point-of-interest (POI) recommendation, which provides personalized recommendation of
places to mobile users, is an important task in location-based social networks (LBSNs) …

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