Next point-of-interest (POI) recommendation is a critical task in location-based social
networks, yet remains challenging due to a high degree of variation and personalization …

Next Point-of-Interest (POI) recommendation is a pivotal issue for researchers in the field of
location-based social networks. While many recent efforts show the effectiveness of …

Location-based social networks (LBSN) allow users to socialize with friends by sharing their
daily life experiences online. In particular, a large amount of check-ins data generated by …

Obtaining insight into user mobility for next point-of-interest (POI) recommendations is a vital
yet challenging task in location-based social networking. Information is needed not only to …

The rising prosperity of Location-based Social Networks (LBSNs) witnessed an explosion in
the availability of geo-tagged social media data, which enables tremendous location-aware …

The expansion of available information in location-based social networks (LBSNs) has led to
information overload, making it urgent to discover users' next point-of-interest (POI). Some …

Recent years have witnessed a vastly increasing popularity of location-based social
networks (LBSNs), which facilitates studies on the next Point-of-Interest (POI) …

Abstract Point-of-Interest (POI) recommendation has emerged as a significant research area
within Location-Based Social Networks (LBSNs). Many extant POI recommendation …

As the core of location-based social networks (LBSNs), the main task of next point-of-interest
(POI) recommendation is to predict the next possible POI through the context information …

The next point of interest (POI) recommendation uses the user's check-in information on
location-based social networks to make recommendations. The existing methods based on …