Abstract Location-based Social Networks (LBSNs) enable users to socialize with friends and
acquaintances by sharing their check-ins, opinions, photos, and reviews. A huge volume of …

The tourism industry is a significant contributor to the global economy, responsible for
generating nearly 10% of the world's GDP and employing around 9% of the global …

In recent years, location-based social networks (LBSNs) that allow members to share their
location and provide related services, and point-of-interest (POIs) recommendations which …

Collaborative filtering approach greatly promotes the development and application of
personalized recommendation. In location-based social networks (LBSNs), the sparsity of …

Abstract Recently, POI (Point-of-interest) recommendation for groups has become a critical
challenge when hel** groups to discover potentially interesting new places, and some …

Data mining research has been significantly motivated by and benefited from real-world
applications in novel domains. This special issue was proposed and edited to draw attention …

After our announcement in early August 2019 for this special issue, we received 40
submissions, only 8 ones out of which are accepted to be included in this special issue. After …

News recommender systems have become an effective manner to help users make
decisions by suggesting the potential news that users may click and read, which has shown …

Next Point-of-Interest (POI) recommendation aims to predict the next POI for users from their
historical activities. Existing methods typically rely on location-level POI check-in trajectories …

In location-based social network platforms, the point-of-interest (POI) recommendation is an
essential function to serve users. The existing POI recommendation algorithms are rarely …