• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Conference on Systems and Informatics >Research on Content-based MOOC Recommender Model
【24h】

Research on Content-based MOOC Recommender Model

机译：基于内容的MooC推荐模型研究

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

MOOC platform provides favorable conditions for people's lifelong learning and personalized learning. With the developments of MOOC, the supply of course resources will increase year by year and information overloading will become increasingly highlighted. At present, the major MOOC platforms provide only the classification and search functions of the courses, which are not enough. How to realize the innovative supply of courses resources and help the learners to locate the target course quickly, realizing the individualized learning, is also a question to be considered in the process of building intelligent MOOC platform. This paper, taking the platform of "iCourse" for example, proposed a content-based course recommender model for MOOC. The experiments show that the prediction precision of the proposed recommendation model is much higher than that of random recommendation and the more exact and comprehensive the descriptive data of course is, the higher the recommendation precision of the model proposed is, proving the validity of the content-based MOOC recommender model.
机译：MOOC平台为人民终身学习和个性化学习提供了有利条件。随着MOOC的发展，课程资源的供应将逐年增加，信息超载将越来越突出。目前，主要的MoOC平台仅提供课程的分类和搜索功能，这是不够的。如何实现课程资源的创新供应，帮助学习者快速找到目标课程，实现个性化学习，也是在建立智能MOOC平台的过程中考虑的问题。本文采用“Icourse”平台，例如，提出了一种用于MooC的基于内容的课程推荐模型。实验表明，拟议推荐模型的预测精度远高于随机推荐，并且当然更精确和全面的描述数据是，所提出的模型的建议精度越高，证明了内容的有效性基于MooC推荐模型。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号