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With the continuous development of technology, we need to continuously follow up on the latest recommendation algorithms and technologies, such as deep reinforcement learning, natural language processing, etc., to improve the recommendations and make the system more intelligent. Meanwhile, consider introducing more user feedback mechanisms, such as sentiment analysis, to better understand user needs. The personalized distance education system can improve the educational effect, promote the development of education level, the improvement rate reaches 20%, and optimize the overall education structure to be above 80%. Therefore, personalized distance education can meet educational requirements and improve teaching effectiveness.

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Design and Implementation of Distance Education System Based on Personalized Recommendation

  • 会议论文

  • 发表日期：

    2026年

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  • Tian Meiyan

摘要

With the continuous development of technology, we need to continuously follow up on the latest recommendation algorithms and technologies, such as deep reinforcement learning, natural language processing, etc., to improve the recommendations and make the system more intelligent. Meanwhile, consider introducing more user feedback mechanisms, such as sentiment analysis, to better understand user needs. The personalized distance education system can improve the educational effect, promote the development of education level, the improvement rate reaches 20%, and optimize the overall education structure to be above 80%. Therefore, personalized distance education can meet educational requirements and improve teaching effectiveness.