With the development of computer technology and the arrival of the era of artificial
intelligence, the analysis of user demand bias is of great significance to the operation …

Traditional customer segmentation methods cannot obtain more effective information from
massive customer data, which affects the formulation of marketing strategies. Based on this …

With the development of information technology and the popularization of the Internet,
people's lifestyles have undergone tremendous changes. The e-commerce industry …

This paper analyzed and summarized the development path of electronic commerce
marketing based on the big data; the related aspects of intelligent precision marketing …

Since the reform and opening up, China's market economy has gradually prospered, and
the development of various industries and their products has become a key research issue …

Based on the characteristics of the e-commerce industry, this paper conducts a
comprehensive analysis of the factors affecting the e-commerce customer loyalty. Based on …

This article aims to study e-commerce precision models and consumer behavior models
based on clustering algorithms, and at the same time conduct detailed research on the …

With the continuous development of science and technology, e-commerce activities and
marketing through the network under the condition of network technology provide a …

In view of the shortcomings of traditional clustering algorithms in feature selection and
clustering effect, an improved Recency, Frequency, and Money (RFM) model is introduced …