最终，您希望将数据转换成 HTML 页面，该页面根据兴趣对用户进行分组并向有相似兴趣的用户提供电子邮件联系方式。
You hope eventually to transform the data into an HTML page that groups users by interests and presents e-mail contacts for people of similar interests. XSL can do this handily with the following code
分类规则用来实现对学生用户的分类，通过对用户的兴趣特征进行学习，有利于将资源准确推荐给具有相似爱好的用户。
Based on the classification rule, users are divided into different groups. Studying users' interest feature helps to recommend reference resources accurately to users with similar preference.
混合用户模型引入的特征兴趣度，反映了用户对特征的偏好程度，在计算用户之间相似度时更为准确。
Feature interest measure is introduced in the hybrid user model, which can reflect the degree of feature preference of users and obtain more accurate similarity between target user and the neighbors.
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