基于机器学习的高考志愿推荐系统设计

传统的高考志愿推荐系统往往依赖于固定的规则和简单的匹配算法,不能充分理解和满足不同学生的个性化需求和兴趣。该文提出一种智能的高考志愿推荐系统,利于数据挖掘、机器学习及自然语言处理等技术,帮助高考学生更好地选择他们的大学和专业志愿。实验结果表明,机器学习推荐系统可以大大超越传统推荐系统,提供更高质量的推荐服务。

The traditional voluntary recommendation system for college entrance examination often depends on fixed rules and simple matching algorithms,which can not fully understand and meet the individual needs and interests of different students.This paper proposes an intelligent voluntary recommendation system for college entrance examination,which is conducive to data mining,machine learning and natural language processing technology,to help college entrance examination students better choose their universities and professional volunteers.The experimental results show that the machine learning recommendation system can greatly exceed the traditional recommendation system and provide higher quality recommendation service.