User account determination method and device, information push method and device, and electronic device

Abstract

The invention provides a user account determination method and apparatus, an information pushing method and apparatus, and an electronic device, and relates to the field of big data and artificial intelligence. The user account determination method comprises the steps: acquiring a network topological graph, wherein each node in the network topological graph corresponds to each account, and a preset association relationship exists between the accounts corresponding to edge representation between the two nodes; a community division step of dividing the nodes into a plurality of virtual communities based on the modularity of the network topological graph; a node reconstruction step: aggregating each virtual community obtained by division into a node to obtain an updated network topological graph; a first iteration step of iterating the virtual community division step and the node reconstruction step based on the updated network topological graph until the network topological graphs beforeand after updating are consistent; and an account identification step: determining the accounts corresponding to the nodes in the same virtual community as the accounts of the same user. According tothe invention, the accounts belonging to the same user can be efficiently and accurately determined.

Description

technical field [0001] The present disclosure relates to the technical field of big data and artificial intelligence, in particular, to a user account determination method based on big data and artificial intelligence, a user account determination method device, an information push method, an information push device, an electronic device, and a computer-readable method. storage medium. Background technique [0002] In many scenarios, it is necessary to determine the accounts belonging to the same user. But in this process, some problems may be encountered. [0003] For example, the same user has different accounts under different services, and there is a lack of direct correspondence between these accounts, so it is difficult to perform one-to-one association. Another example is that there is a complex many-to-many relationship between accounts and devices. That is, the same account may have logged in to different devices, and the same device may have logged in to differen...

AI Technical Summary

Problems solved by technology

However, the relevant methods in the prior art still have room for improvement in terms of processing efficiency and accuracy.

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