Research Article

Leveraging Social Relationship-Based Graph Attention Model for Group Event Recommendation

Table 1

Notation.

SymbolsDescriptions

The set of group ()
The set of user ()
The set of event ()
The group-event graph
The user-event graph
The event-user graph
The user-user graph
The event-event graph
The set of social friends of user
The set of events interacted by user
The set of users who participated in event
The set of social events of event
The set of users who are in the group
The embedding of user
The embedding of event
The embedding of the rating value ,
uiEThe event space user latent factor from event set of user
The social space user latent factor from social friends set of user
The user latent factor of user , combining from event space and social space
The interaction and opinions representation of event for user
The user space event latent factor from user set of event
The social space event latent factor from social events set of event
The event latent factor of event , combining from user space and social space
The interaction and opinions representation of user for event
The group latent vector of
The attention weight of event in contributing to
The social attention weight of user in contributing to
The attention weight of user in contributing to
The social attention weight of event in contributing to
The attention weight of user in contributing to
The rating value of event by group
The predicted rating value of event by group
The concatenation operator of two vectors
The weight in neural network
The bias in neural network