知识图谱构建下基于近邻的军事职业教育课程推荐模式
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海军航空大学教学改革成果培育项目(HKDXJG2020022)


Curriculum Recommendation Mode of Military Vocational Education Based on Nearest Neighbor Under Knowledge Mapping
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    摘要:

    针对当前军事职业教育中官兵选课存在过程缺乏引导、决策不科学等问题,基于知识图谱与神经网络的在线课程推荐模型,提出一种分析知识图谱技术和基于协同过滤的推荐系统工作原理,运用神经网络和大数据技术进行设计,并进行实验设计和结果分析。结果表明:该模型能兼顾学习者的兴趣及其自身相关的因素,为解决上述问题提供了借鉴。

    Abstract:

    In view of the lack of guidance and unscientific decision-making in the course selection process of officers and soldiers in the current military vocational education, based on the online course recommendation model of knowledge mapping and neural network, this paper proposes an analysis of the working principle of knowledge mapping technology and recommendation system based on collaborative filtering, uses neural network and big data technology to design, and carries out experimental design and result analysis. The results show that the model can take into account the learners' interests and the factors related to themselves, which provides a reference for solving the above problems.

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引用本文

周立军.知识图谱构建下基于近邻的军事职业教育课程推荐模式[J].,2024,43(11).

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  • 收稿日期:2024-06-17
  • 最后修改日期:2024-07-20
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  • 在线发布日期: 2024-11-26
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