With the online education develops flourishingly, this article proposes a new system construction mode of personalized recommendation system for interactive teaching in online education. It is adopted big data as major analysis technology, collecting and analyzing students' learning behaviors data, identifying learners' learning situation from multiple points of view, and finally applying intelligent recommendation to facilitate the requirement.