基于机器学习的计算机专业课程知识点推荐系统设计与优化
Design and Optimization of Computer Professional Course Recommendation System Based on Machine Learning
王重英1
作者信息
摘要
计算机科学领域发展迅速,学生需要学习大量的知识点.为了帮助学生高效地掌握专业技能,文章设计一个基于机器学习的计算机专业课程知识点推荐系统.该系统的推荐准确率、响应时间、用户满意度均达到要求,能够为学生提供个性化的课程推荐,具有一定的应用价值.
Abstract
The field of computer science is developing rapidly,and students need to learn a large number of knowledge points.In order to help students efficiently master professional skills,this article designs a computer science course knowledge point recommendation system based on machine learning.The recommendation accuracy,response time,and user satisfaction of this system all meet the requirements,and it can provide personalized course recommendations for students,which has certain application value.
关键词
机器学习/计算机专业课程/知识点推荐Key words
machine learning/computer major courses/knowledge point recommendation引用本文复制引用
基金项目
陕西省"十四五"教育科学规划课题(SGH23Y2596)
商洛学院教育教学改革研究项目(23jyjx121)
陕西省教育学会课题(SJHZDKT202302)
出版年
2024
NETL
NSTL
万方数据