Research on the Path of Empowering Rural Revitalization with E-commerce in Shaanxi Province under the Background of Digital Economy

Abstract

Utilising marketing data effectively can improve market mobility and competition, which will increase user numbers. In order to help businesses proactively respond to competition in the market of Shaanxi Province, this study validates and productizes a game theory-assisted machine learning scheme based on game decision making and conditional slack. The technology gives businesses a machine learning model to identify user carrying propensity and treat users differently. The technology can help businesses create targeted porting strategies and precisely identify "abnormal" users who are likely to port in or out, according to experimental results. The plan has also been effectively turned into a product, greatly enhancing the company's marketing effectiveness and, in the case of one company, raising the number of subscribers by about 50%. The seed set is analysed in a varied comparison between the movie consumption network and the Yahoo Answers network, and the interest preferences of movie-going customers are examined in several aspects.