ABSTRACT A majority of research on Spatial Multicriteria Analysis (SMCA) has been
spatially implicit. Typically, SMCA uses conventional (aspatial) multicriteria methods for …

With the rapid development of edge intelligence in wireless communication networks,
mobile-edge networks (MENs) have been broadly discussed in academia. Supported by …

With the growing number of Location-Based Social Networks, privacy-preserving point-of-
interest (POI) recommendation has become a critical challenge when helping users discover …

Recently, graph neural networks (GNNs) have achieved promising results in session-based
recommendation. Existing methods typically construct a local session graph and a global …

Next point-of-interest (POI) recommendation has gained growing attention in recent years
due to the emergence of location-based social networks (LBSN) services. Most existing …

Most existing next POI recommendation studies rely on users' certain check-ins at individual
POIs (eg, Italian restaurant). In reality, users may leave some uncertain check-ins in the …

The rapid development of location-based services spurred a large number of user-centric
applications. Particularly, an interesting topic has attracted the attention of researchers that …

Personalized recommendation systems can help users to filter redundant information from a
large amount of data. Previous relevant researches focused on learning user preferences by …

Abstract Point-of-interests (POIs) recommendations aim at recommending locations to users
on social platforms by analyzing their histories or combining other information. At present …

Point of interest (POI) recommendation as an important service in location-based social
networks has developed rapidly, which can help users find more interesting unknown …