Abstract Next Point-Of-Interest (POI) recommendation plays an important role in various
location-based services. Its main objective is to predict the user's next interested POI based …

In location-based social networks (LBSNs), extensive user check-in data incorporating user
preferences for location is collected through Internet of Things devices, including cell …

Next Point-of-Interest (POI) recommendation is an essential part of the flourishing location-
based applications, where the demands of users are not only conditioned by their recent …

Friend recommendation from user trajectory is a vital real-world application of location-
based social networks (LBSN) services. Previous statistical analysis indicated that social …

Next Point-of-Interest (POI) recommendation plays a crucial role in urban mobility
applications. Recently, POI recommendation models based on Graph Neural Networks …

The growth of the tourism industry has greatly boosted the Point-of-Interest (POI) recom-
mendation tasks using Location-based Social Networks (LBSNs). The ever-evolving nature …

Multi-behavior session-based recommendation aims to predict the next item, such as a
location-based service (LBS) or a product, to be interacted by a specific behavior type (eg …

In location-based social networks (LBSNs), point-of-interest (POI) recommendation systems
help users identify unvisited POIs by filtering large amounts of information. Accurate POI …

Abstract Point-of-interest (POI) recommendation is important in location-based applications
and has attracted considerable research interest. Despite the inspiring achievements of POI …

Abstract Next Point-of-Interest (POI) recommendation is becoming increasingly popular with
the rapidly growing of Location-based Social Networks (LBSNs). Most existing models only …