Research on big data marketing method based on statistical machine learning algorithmei

Abstract

In the innovation and development of human science and technology, from the simple relationship between buying and selling to today's huge and complex online trading, not only reflects the main content of the progress of The Times, but also indirectly proves the diversified characteristics of marketing methods and technological means. In the marketing market at home and abroad, database marketing, with high efficiency and low cost, has been paid more attention to by the marketing staff, and gradually become the focus of the marketing market. As database marketing belongs to the foreknowledge and ferryman in the increasingly competitive market environment, it is more inclined to analyze simple data before application in practice. Therefore, in contrast, the database with machine learning algorithm as the core, marketing is the main content of marketing research and discussion. Based on the analysis of big data marketing methods and application effects in recent years, this paper mainly discusses the main content of statistical machine learning algorithms, and takes a Tmall flagship store as the research target to systematically understand the database marketing content with machine learning algorithms as the core. The final results show that the flagship store is mainly based on the database marketing method of model prediction, and the effective measures of how to improve the marketing effect with the help of model prediction are put forward.