A data association matching method and system based on deep learning

Abstract

The present invention provides a data association matching method and system based on deep learning, the method comprising the following steps: a shared server acquires shared resource data; the shared server configures a data association matching model and initializes model parameters; a client server downloads a corresponding target shared resource data set from the shared server; the client server generates a target data set graph network based on the target shared resource data set and configures a graph network feature recognition model; the client server uses the graph network feature recognition model to complete graph network feature analysis and obtains graph network feature analysis results, and the client server uploads the data set feature analysis results to the shared server; the shared server updates the model parameters through the data set feature analysis results uploaded by all client servers, and uses the data association matching model to generate data association matching analysis results for shared resource data. The present invention has the effect of efficiently completing data association matching in a database.

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