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 …

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

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 …

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

Trajectory similarity computation is an essential operation in many applications of spatial
data analysis. In this paper, we study the problem of trajectory similarity computation over …

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 …

Next Point-of-Interest (POI) recommendation plays a critical role in many location-based
applications as it provides personalized suggestions on attractive destinations for users …