基于支持向量机的学习资源推送方案

文章将支持向量机用于学习资源的个性化推送。通过引入知识点的概念与形式化描述,建立起测试试题与学习资源的联系,并形成特征向量。采用线性核函数、多项式核函数和径向基核函数分别构建不同的支持向量机,进行了实验与数据分析。结果表明,支持向量机技术能较好的支持学习资源的个性化推送,具有响应速度快,正确率高,训练样本小等优点。

A Learning Resource Push Method Based On Support Vector Machine

This paper realized the learning resources' personalized push by using Support Vector Machines.Knowledge Point is introduced and formulated,then we can establish linkages between the test questions and the learning resources by which a feature vector is generated.With linear kernel,polynomial kernel function and RBF kernel function different Support Vector Machines were constructed,experiments and data analysis were carried out based on these SVMs.The results show that Support Vector Machine can better supp...