| With the improvement of living standards,people’s demand is not limited to the material level,but the demand for spiritual culture is increasing day by day.In particular,the less educated farmers are eager to enrich themselves with cultural knowledge.For a long time,China’s farmers’ vocational education is mainly through centralized teaching mode to carry out training.Although some achievements have been made,it is analyzed from the aspects of farmers’ income level,current situation of farmers’ vocational skills training and future development trend,this training mode is not only not suitable for farmers’ own characteristics,but also time-consuming,financial and labor-consuming,and gradually deviates from farmers’ learning needs.In recent years,the rapid development of artificial intelligence and Internet technology has driven the development of modern agriculture in China.On the basis of exploring China’s traditional agricultural training mode,drawing on foreign experience and combining with the characteristics of the Internet era,this paper studies from the following aspects:1.Design an online agricultural learning platform to solve the problems of no pertinence,time-consuming and labor-consuming in the current farmers’ vocational education and training.2.To meet the personalized needs of farmers,a recommendation algorithm is added to the platform.3.Recommend system design.Firstly,the interest of users is mined through the way of data embedding points,and then the platform’s personalized recommendation function of agricultural resources is realized by using the collaborative filtering algorithm based on double clustering of users and items.This paper designs an agricultural learning platform based on personalized recommendation by using computer technology,hardware and software technology and so on,through analyzing the dynamic and static information of platform users,personalized learning resources meeting the users’ personal needs are recommended for users.This will not only improve the utilization rate of various agricultural resources on the platform,but also help farmers learn more conveniently and efficiently. |