Agricultural research recommendation algorithm based on consumer preference model of e-commerce

Computer technology in agricultural e-commerce has great potentiality of development, but agricultural e-commerce platform market is still inefficient, making the agricultural recommendation not ideal. This paper studies the application of computer algorithms in agricultural products electricity supplier, introduces agricultural products with its e-commerce and the accurate mining algorithms, constructs the characteristic information of consumer preference model, and constructs the agricultural product feature model and recommendation algorithm. In four aspects, an in-depth study of the exact recommendation algorithm was conducted. Based on the characteristics of agricultural products, the optimization of the traditional product recommendation process is a great help to improve the recommendation accuracy.