Modeling a sequence of interactions between users and items (eg, products, posts, or
courses) is crucial in domains such as e-commerce, social networking, and education to …

With the booming of the Internet of Things (IoT) and the speedy advancement of Location-
Based Social Networks (LBSNs), Point-Of-Interest (POI) recommendation has become a vital …

With the wide use of Location-Based Social Networks (LBSNs), predicting user friendship
from online social relations and offline trajectory data is of great value to improve the …

Location-based embedding is a fundamental problem to solve in location-based social
networks (LBSN). In this paper, we propose a geographical convolutional neural tensor …

In this article, we investigate the problem of social link inference in a target location-aware
social network (LSN), which aims at predicting the unobserved links between users within …

The rapid growth of location-based social networks (LBSN) has generated massive multi-
mode entities such as users, locations and social topics, as well as multi-relationships …

Modeling sequential interactions between users and items/products is crucial in domains
such as e-commerce, social networking, and education. Representation learning presents …

With the growing prosperity and diversity of social networks, more and more users
participate in multiple social networks to enjoy their diverse services. Users can create …

Location Based Social Networks (LBSNs) integrate location-based facilities with social
connectivity for delivering a variety of services, enhancing user experience …

Thanks to widely available, cheap Internet access and the ubiquity of smartphones, millions
of people around the world now use online location-based social networking services …