Author(s)

Chenyu Cui, Jian Liu

Corresponding Author

Jian Liu

Abstract

With the rapid development of information technology, the application of computer big data technology in the field of education is becoming increasingly widespread. The personalized recommendation system of learning resources uses big data technology and combines students' learning behaviors and preferences to provide learners with more personalized and accurate recommendations of learning resources, which helps improve learning efficiency and learning results. This paper conducts an in-depth study on the design framework and application scenarios of personalized recommendation systems, explores the application of computer big data technology in personalized recommendation systems for learning resources, and analyzes the existing problems and challenges. Finally, this paper proposes some suggestions for improvement and development, aiming to provide references for the research and practice of personalized recommendation systems for learning resources.

Keywords

Big Data; Learning Resources; Personalized Recommendation System; Education