E-commerce network platform user community discovery method based on graph convolutional neural network and similarity

Abstract

The invention discloses an e-commerce network platform user community discovery method based on a graph convolutional neural network and similarity, and the method comprises the steps of building an e-commerce platform user network according to the user data of an e-commerce network, and calculating the similarity of nodes in the network based on a node similarity index; constructing a preferencenetwork according to the node similarity matrix; dividing initial communities through the connectivity of the preference network, and distinguishing strong communities according to the community scalecoefficient and the community sparsity coefficient; selecting the maximum node in the strong community as a leader node of the community and marking the leader node with a community label; and in combination with the advantages of the graph convolutional neural network in irregular graph data processing, using the graph convolutional neural network model to train the community label of the e-commerce network prediction node, and forming a final e-commerce network user community structure. According to the invention, the node similarity and the graph convolutional neural network are combined,so that the community discovery speed and quality are improved.

Description

technical field [0001] The invention relates to the field of e-commerce, and is a method for discovering user communities on an e-commerce network platform based on a graph convolutional neural network and similarity. Background technique [0002] The rapid development of the Internet has promoted the development of social informatization and networking. Among them, the e-commerce network has developed rapidly, and various e-commerce networks have emerged in an endless stream. The development of the Internet has also promoted the process of digitalization of the real economy. The most representative one is Formation of e-commerce network. The e-commerce network is a way of presenting the informatization of the real economy. The sales of products and services in various industries have formed a huge and rich e-commerce network. The e-commerce network includes not only commercial users who provide goods and services, but also ordinary users who purchase goods and services. Th...

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the shortcomings of the current community discovery algorithm in the e-commerce network, the accuracy of community division is not high, and in order to more accurately discover high-quality user community structures in social networks, the present invention proposes a fast and efficient map-based The user community discovery method of e-commerce network platform based on convolutional neural network and similarity not only combines the topological characteristics of the network, but also takes advantage of the graph convolutional neural network to solve graph data

Images