The invention belongs to the research category of learning resource recommendation in interest recommendation research systems in social networks and relates to an automatic learning resource recommendation method based on mobile learning. The user learning interest discovery problem of a mobile user learning platform is solved by establishing models, the user learning interest problem is regardedas a track feature discovery problem of user learning recourses in time and position dimensions, users with the same resource interest are regarded as a resource user group, the next resource that users may learn is predicted in the perspectives of user learning tracks and learning characteristics of resource user groups, and the learning interests of the users can be discovered.