ABSTRACT A common need for artificial intelligence models in the broader geoscience is to
encode various types of spatial data, such as points, polylines, polygons, graphs, or rasters …

Recommender systems have become an essential tool to help resolve the information
overload problem in recent decades. Traditional recommender systems, however, suffer …

Next Point-of-Interest (POI) recommendation which is of great value to both users and POI
holders is a challenging task since complex sequential patterns and rich contexts are …

With the development of communication and information technologies, smart tourism is
gradually changing the tourism industry. Internet of Things (IoT) plays an important role in …

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 …

Sequential location recommendation plays an important role in many applications such as
mobility prediction, route planning and location-based advertisements. In spite of evolving …

With the tremendous success of Graph Convolutional Networks (GCNs), they have been
widely applied to recommender systems and have shown promising performance. However …

Recommending a point-of-interest (POI) a user will visit next based on temporal and spatial
context information is an important task in mobile-based applications. Recently, several POI …

Next point-of-interest (POI) recommendation, also known as a natural extension of general
POI recommendation, is recently proposed to predict user's next destination and has …

With the increasing popularity of location-aware social media services, next-Point-of-Interest
(POI) recommendation has gained significant research interest. The key challenge of next …