文章摘要
吴房胜1 ,何世清 2.基于B-S架构与KNN算法的自主学习交流平台设计[J].西昌学院学报(自然科学版),2020,34(3):43-46.
基于B-S架构与KNN算法的自主学习交流平台设计
Design ofAutonomous Learning and Communication Platform Based on B-SArchitecture and KNNAlgorithm
  
DOI:
中文关键词: KNN算法,学习平台,信息过滤,行为预测
英文关键词: KNN algorithm  learning platform  information filtering  behavior prediction
基金项目:安徽省高校自然科学研究重点项目(KJ2019A1166);安徽省省级质量工程项目(2018sjjd114);安徽省省级教学研究项目(2019jyxm0746);安徽工商职业学院校级重点教研项目(2018xjjyZD02)。
作者单位
吴房胜1 ,何世清 2 1.安徽工商职业学院信息工程学院合肥 2311312.安徽农业大学经济技术学院合肥 230011 
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中文摘要:
      开发一套基于B-S架构的自主学习交流平台,为用户创造一个友好的学习交流环境。平台采用Java语言开发,通过MySql5.7对数据进行存储,依托Tomcat7.0服务器发布,最终通过浏览器展现给用户。开发过程中引入了KNN算法,可对乱填信息注册平台的用户有效拦截过滤,自主预测平台中用户的年龄结构、热门话题等信息,收集热门话题创建学习兴趣小组,并通过用户对学习资源的评价等行为的分析,对表现较好的用户给予更优质的服务与优惠,从而更好地提高平台的质量。
英文摘要:
      In this paper we developed an autonomous learning and communication platform based on B-S architecture to create a friendly learning and communication environment for users. The platform is developed with java language. The data is stored through MySql5.7, released on Tomcat7.0 server, and finally displayed to the user through a browser. The KNN algorithm is introduced in the development process, which can effectively block and filter users who randomly fill in the information registration platform, autonomously predict users’age brackets, their hot topics and other information, and collect hot topics to create learning groups of different interests. Through analysis of user behaviors such as their evaluation of study resources, better services and discounts are given to users with better performance, thereby quality of the platform will be improved.
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