| 摘 要: 随着我国教育信息化、数字化概念的提出，教育信息化资源以极快的速度大量涌现，导致信息呈现爆炸 式增长，用户在面临海量信息时，需要花费大量的时间和精力去筛选所需的资源。本文针对此现状提出基于个性化推荐 技术实现微课程视频的筛选方案。通过本系统可以为用户提供有针对性的、符合用户兴趣的相关资源，从而使用户获取 信息的方式发生翻转，从以往的主动获取变为被动的接收，并保证用户接收的资源对其而言价值最高。 |
| 关键词: 推荐系统；协同过滤算法；用户兴趣模型；资源评价机制 |
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中图分类号: TP391
文献标识码: A
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| Application of Personalized Recommendation Technology in Micro-Course System |
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ZHAO Xu,LV Hexuan
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( Dalian Neusoft University of Information, Dalian 116023, China)
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| Abstract: With the development of educational informatization and digitization in China,the reform of education informatization has made positive progress,but it has also led to explosive growth of information.Users need to spend a lot of time and energy to screen out the resources they need in the massive information.In view of this situation,this paper proposes a corresponding solution to realize video filtering of micro-course based on personalized recommendation technology. Through this system,users can be provided with targeted and relevant resources in line with their interest,so as to change the way users obtain information from the previous active acquisition to passive reception,and ensure that the resources received by users are of the highest value for them. |
| Keywords: recommendation system;cooperative filtering algorithm;user interest model;resource evaluation mechanism |
