Research on Precision Marketing Algorithm of Agricultural e-Commerce Based on Association Rule Mining

Abstract

With the rapid development and maturity of big data and artificial intelligence technology, the field of e-commerce is also facing new development opportunities and challenges. How to push suitable products to customers more intelligently, accurately and effectively has become one of the core competitiveness that major e-commerce sellers are striving to improve. It is necessary to build a safer, more convenient and more efficient e-commerce marketing platform for agricultural products on the basis of studying the advantages of big data technology and according to the current situation of e-commerce marketing platform construction for agricultural products in China. As an innovation different from the traditional marketing model, e-commerce has its outstanding advantages. E-commerce enterprises are faced with massive commodities and diversified customer demands, and there is still a lack of intelligent and effective methods and tools in product correlation recommendation. In this paper, the association rule mining technology is applied to the actual precision marketing of agricultural products, and the multi-dimensional association rule set is constructed by using the association rule mining algorithm to mine and analyze agricultural products and precision marketing of agricultural products.