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基于机器学习的高考志愿推荐系统设计

叶孟财

科技创新与应用2024,Vol.14Issue(9):118-121,4.
科技创新与应用2024,Vol.14Issue(9):118-121,4.DOI:10.19981/j.CN23-1581/G3.2024.09.028

基于机器学习的高考志愿推荐系统设计

叶孟财1

作者信息

  • 1. 浙江广厦建设职业技术大学,浙江 东阳 322100
  • 折叠

摘要

Abstract

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.

关键词

数据挖掘/机器学习/自然语言处理/个性化推荐/系统设计

Key words

data mining/machine learning/natural language processing/personalized recommendation/system design

分类

信息技术与安全科学

引用本文复制引用

叶孟财..基于机器学习的高考志愿推荐系统设计[J].科技创新与应用,2024,14(9):118-121,4.

科技创新与应用

2095-2945

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