The paper gives same linear relation proposition and argument among vector groups in the vector space, and USES proposition to solve simple model problematic calculation in the vector space.
给出了向量空间中向量组间相同线性关系的命题与证明，并用命题简捷解决了向量空间典型问题的计算。
We set up document feature vectors and user interest vector, and do their correlation calculation by using vector space model, finally return the interested results for the user.
分别构建文档特征向量和用户兴趣向量，运用向量空间模型对其做相关性计算，返回用户感兴趣的检索结果。
It enlarges the space scale of virtual vector to decrease the division of small sectors, thus simplifying the calculation.
通过虚拟矢量空间尺度的放大，进一步减少小扇区的划分，简化计算。
应用推荐