Influence maximization is recognized as a crucial optimization problem, which aims to
identify a limited set of influencers to maximize the coverage of influence dissemination in …

In recent years, an event‐based social network recommendation system has attracted more
and more researchers' attention. Most EBSN recommendation systems mainly focus on …

Event-based social networks (EBSNs) connect online and offline lives. They allow online
users with similar interests to get together in real life. Attendance prediction for activities in …

Existing event recommendation methods pay attention to contextual factors to approach
sparse and cold-start problem, in which organizer influence is a vital factor in Event-based …

Event-based social networks (EBSNs) are widely used to create online social groups and
organize offline events for users. Activeness and loyalty are crucial characteristics of these …

In this paper, we present GEVR, the first Group Event Venue Recommendation system that
incorporates mobility via individual location traces and context information into a" social …

Conducting an event require planning multiple tasks and managing finance for the event.
Nevertheless, event management and event organization are more of a manual-based …

Event-based social networking platforms such as Meetup have recently witnessed a huge
growth. However, with the rise in the volume of groups and events, making individual events …

Event attendance prediction has attracted considerable attention because of its wide range
of applications. By predicting event attendance, events that better fit users' interests can be …

Understanding users' behaviors and the popularity of events has become one of the
widespread research topics in this competitive business world. Precise event attendance …