Course platform content recommendation method, device and equipment, and storage medium

The invention discloses a content recommendation method of a course platform. The method comprises the steps of collecting learning data of learning each course by a plurality of reference users and acurrent user; determining an approximate reference user having the highest similarity with the current user according to the learning data; according to the learning data, determining a course list which is approximately learned by the reference user and is not learned by the current user, and determining the course with the highest score in the courses learned by the current user; and accordingto the pre-determined relevancy between the courses, selecting the course with the highest relevancy between the courses in the course list and the course with the highest score, and recommending thecourse to the current user. According to the invention, the recommended courses are screened based on the statistical principle of big data, the approximate reference user most approximate to the current user and the course rel