Research on the precise marketing method of agricultural products e-commerce platform based on user recommendation algorithm

With the development of China's major agricultural products e-commerce platforms, a large amount of information about users and agricultural products has been generated, resulting in the phenomenon of "information overload", which makes it more and more difficult for users to browse the agricultural products they are interested in and to purchase the agricultural products that meet their needs in a timely and effective manner. Therefore, to address this situation, this paper further mines the consumer behavior and other information generated when consumers interact with e-commerce platforms, predicts users' interests and preferences by constructing dynamic user portraits of groups, and solves the problem of "information overload" through personalized recommendation systems. In this paper, we mainly study the user portrait and group dynamic user portrait, the personalized recommendation method for agricultural products and the system architecture design of agricultural products e-commerce platform. This paper meets the demand for such products in the market and lays a certain theoretical and practical foundation for the subsequent research and development.