Research on Application of Personalized Recommendation Technology in Adaptive Learning System Based on Java Programming

Abstract

This paper taking the course of Java programming as an example, an adaptive learning question bank system based on personalized recommendation is realized by using collaborative filtering recommendation algorithm. Personalized test exercises that are suitable for students' own curriculum learning status can help students improve their learning efficiency and effectively promote the improvement and progress of students' academic achievements. At the same time, the application of this system can provide a reference basis for other adaptive learning systems based on personalized recommendation.