Heterogeneous graph-based virtual article time sequence recommendation method and device, medium and equipment

The invention discloses a heterogeneous graph-based virtual article time sequence recommendation method and device, a medium and equipment. The method comprises the following steps: firstly, using GCN on a heterogeneous graph comprising three nodes of users, virtual articles and article attributes to obtain user representations and article representations; and then, respectively extracting a social sub-graph and an article association sub-graph from the heterogeneous graph, respectively obtaining user representation and article representation through GCN, and fusing the user representation and the article representation with user representation and article representation obtained in the heterogeneous graph to obtain final user representation and article representation. Inputting the obtained article representations into a sequential network according to a purchase time sequence to obtain candidate virtual articles; and finally, performing dot product on the user representation and the candidate virtual articl