基于用户兴趣偏好的教学资源智能推送系统设计

2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE) Pub Date : 2023-04-14 DOI:10.1109/CISCE58541.2023.10142816

Wenyue Li, Yajuan Bai, Lingchun Meng

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引用次数: 0

摘要

针对教师和学生的个性化在线学习需求，本文提出了一种基于用户兴趣偏好的智能推送系统。该系统通过测量不同用户之间的相似度来识别具有相似兴趣的用户。然后，通过对所有用户感兴趣的资源和评分进行分析和整合，准确识别用户的偏倚权重并进行标记。在资源平台中发掘并自动推送满足师生个性化学习需求的资源，进一步提高教学资源平台中学习资源的利用率。

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Design of Intelligent Push System for Teaching Resources Based on User Interest Preference

Aiming at the personalized online learning needs of teachers and students, this paper proposes an intelligent push system based on user interest preferences. This system identifies users with similar interests based on measuring the similarity between different users. Then, by analyzing and integrating the resources and ratings that all users are interested in, accurately identify the user's bias weight and mark it. Explore and automatically push resources that meet the personalized learning needs of teachers and students in the resource platform, further improving the utilization rate of learning resources in the teaching resource platform.

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来源期刊

2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)

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