Application of Text Analysis Methods to Recommend Student Choices

P. V. Korytov, I. Kholod
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引用次数: 1

Abstract

The paper considers the use of natural language processing methods to recommend student choices. Descriptions of subjects taken by the student serve as the basis for compiling the student profile. This profile is used to rate available side projects as most corresponding to that student’s educational history. The quality of recommendations is evaluated based on the data from the "Individual Educational Trajectories" system.
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应用文本分析方法推荐学生的选择
本文考虑使用自然语言处理方法来推荐学生的选择。学生所选科目的描述是编制学生档案的基础。该档案用于评估可用的业余项目,以最符合该学生的教育历史。推荐的质量是基于“个人教育轨迹”系统的数据来评估的。
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