With the development and popularization of the Internet, the e-commerce platform for featured agricultural products has become one of the important channels for agricultural product marketing. However, achieving precise marketing of characteristic agricultural products remains a challenge. This article explores the application of data mining and machine learning algorithms in user behavior analysis and prediction in precision marketing, as well as the design and optimization of personalized recommendation systems, through the construction and analysis of user profiles. It proposes innovative marketing strategies such as precise positioning and customized marketing plans based on user profiles, and cooperative marketing models in cooperation with agricultural production enterprises. By studying the key technologies and innovative strategies of precision marketing in specialty agricultural product e-commerce, more effective marketing solutions can be provided for specialty agricultural product e-commerce platforms, which can effectively promote the development of the agricultural product industry.