Research on Classifications of Mobile Networking Device Users Based on BP Neural Networks
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Xiaoling Xia, Ruyu Han
In order to make full use of users’ networking data reported by mobile networking devices and offer a reference for companies to develop targeted and personalized marketing strategies, the author trains related attributes extracted from data and neutral networks which can make classifications towards users according to the model principles of BP neural networks, trying to make predictions towards potential consumption ability of users or develop personalized marketing strategies according to the classification results. The results show that the BP neural networks can be well applied to problems of this classification, and the results of user classifications also have certain values for reference and practice.
BP neural networks, model, user classification.