Design and Implementation of Personalized Recommendation System under Big Data Platform

To realize the seamless connection between educational resources and the era of big data, the personalized recommendation system is used as an important tool to solve information overload. This system can help people to automatically excavate interesting and valuable information from target data. Therefore, personalized education resource recommendation system which can handle big data is studied and implemented. The results show that the personalized recommendation system of educational resources based on big data has been put into use in a university network and achieved the expected design goal. This system, combining the discipline classification tree and the recommended structure, provides the resilient processing ability with the increase of data and the personalized recommendation function based on the security, high efficiency and real-time of big data. It provides effective help for the students and teachers to make use of the valuable teaching resources.