Research on Internet Financial Personalized Services Based on Big Data Analysis
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Meng Jiang, Junfeng Liu
With the advent of the era of big data, the massive accumulation of data and the continuous improvement of data processing capabilities have promoted the development of the Internet finance industry. Internet finance is not a simple combination of the Internet and the financial industry. It is a new model and new business generated by the users after they are familiar with the network technology level, such as security and mobile. This paper analyzes the application of big data in Internet finance precision and personalized service, and takes customer behavior analysis as an example to establish a customer accurate recommendation model based on convolutional neural network. Experiments show that customer behavior is analyzed through big data to achieve personalization. And precise customer service helps companies to better understand and deeply understand customer needs and make pre-judgments in innovative business models, thereby improving business operations and improving operational efficiency.
Big data, Internet finance, accurate recommendation, personalized service