The rise of location-based services has led to the widespread adoption of location-based
social networks (LBSNs), which play a vital role in making recommendations for the next …

With the increasing prevalence of location-based services, Point of Interest (POI)
recommendation has become an active research topic. While Graph Neural Networks …

With the popularity of location-aware devices (eg, smart phones), large amounts of location-
based social media data such as check-ins are generated. This stimulates plenty of studies …

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 …

POI (Point of Interest) recommendation is a basic and on-going issue in LBSN (Location-
based Social Network) services. In this paper, a novel POI recommendation approach which …

Aiming at the problem of sparse data and multi-attribute data in location-based social
networks (LBSNs), a content-aware point-of-interest (POI) recommendation method based …

How to exploit various features of users and points of interest (POIs) for accurate POI
recommendation is important in location-based social networks (LBSNs). In this paper, a …

Sign-in point of interest (POI) are extremely sparse in location-based social networks,
hindering recommendation systems from capturing users' deep-level preferences. To solve …

Today, millions of active users spend a percentage of their time on location‐based social
networks like Yelp and Gowalla and share their rich information. They can easily learn about …

Abstract Point-of-interest (POI) recommendation has emerged as a focal point in the
research of location-based social network (LBSN) in recent years. It can help users find their …