Research on Agricultural Products Intelligent Recommendation Based on E-commerce Big Data

As an effective method to solve the problem of information overload, intelligent recommendation has become a necessary condition for e-commerce of agricultural products. The research on intelligent recommendation of agricultural products has made a series of important progress, but also faces new challenges with the rapid development of e-commerce of agricultural products and the arrival of the era of big data. In this paper, we first summarize the characteristics of intelligent recommendation of agricultural products. Second, we introduce the research status of intelligent recommendation of agricultural products based on e-commerce big data from four aspects: user behavior mining, commodity information utilization, recommendation algorithm design and evaluation of agricultural products recommendation. Then we point out the shortcomings and difficulties in the current research. Finally, we prospect the future development direction. The purpose of this paper is to promote the development of e-commerce of agricultural products.