Traffic prediction plays a crucial role in alleviating traffic congestion which represents a
critical problem globally, resulting in negative consequences such as lost hours of additional …

Recommender systems play an important role in hel** online users find relevant
information by suggesting information of potential interest to them. Due to the potential value …

Next Point-of-Interest (POI) recommendation which is of great value to both users and POI
holders is a challenging task since complex sequential patterns and rich contexts are …

An essential consideration in cyber-physical systems (CPS) is the ability to support secure
communication services, such as points of interest (POI) microservices. Existing approaches …

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

The growth of social media over the last decade has revolutionized the way individuals
interact and industries conduct business. Individuals produce data at an unprecedented rate …

Locations, eg, countries, states, cities, and point-of-interests, are central to news, emergency
events, and people's daily lives. Automatic identification of locations associated with or …

Location-based social networks (LBSNs) have attracted an inordinate number of users and
greatly enriched the urban experience in recent years. The availability of spatial, temporal …

The emergence of Location-based Social Network (LBSN) services provides a wonderful
opportunity to build personalized Point-of-Interest (POI) recommender systems. Although a …

Successive point-of-interest (POI) recommendation in location-based social networks
(LBSNs) becomes a significant task since it helps users to navigate a number of candidate …