Research on Key Technologies of Personalized Education Resource Recommendation System Based on Big Data Environment

This paper focuses on the construction of personalized education resource recommendation system and the research of key technologies in the big data environment, designs a personalized recommendation system architecture that can handle PB education resources, and implements an educational resource personalized recommendation system based on this architecture. A hybrid recommendation algorithm based on content and collaborative filtering is designed to meet the recommendation novelty requirements and solve the cold start problem of the recommendation system. Research a flexible, reliable, high-performance personalized recommendation system architecture that can store and process PB-level data and can be recommended in real time, research personalized recommendation engine, data pre-processing and data mining model construction, and implement the recommendation system. It is important to determine the availability of the system by performing related functions and performance verification.