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首页> 外文会议>International Conference on Simulation and Multimedia in Engineering Education and Third International Symposium on Collaborative Technologies and Systems Jan 27-31, 2002 San Antonio, Texas, USA >An Information Filtering Approach to Personalize the Multimedia Instructional Material in a Web-Based Multimedia Distance Learning System
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An Information Filtering Approach to Personalize the Multimedia Instructional Material in a Web-Based Multimedia Distance Learning System

机译：基于Web的多媒体远程学习系统中个性化多媒体教学材料的信息过滤方法

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摘要

This paper aims at overcoming the problem of information overload in an on-line course provided within a Web-based multimedia distance learning system that guarantees customized interaction and individualized instructional material to each different user. We propose a distance learning system that is capable of filtering interesting resources for a particular student from a large amount of irrelevant information sources using asymmetric similarity function. After the refinement of the information coming from the visited resources, based on the correlative importance of different arguments, we present the technique we have used to automatically define the vector space model, that is the used information filtering model, and describe how to learn the user profile using learning and forgetting coefficients. Different experimental cases have been constructed and tested to verify the properties of proposed techniques; the suggested algorithms produce good results in a reasonable time also for Internet surfer students.
机译：本文旨在克服在基于Web的多媒体远程学习系统中提供的在线课程中信息过载的问题，该系统可确保为每个不同的用户提供自定义的交互和个性化的教学材料。我们提出了一种远程学习系统，该系统能够使用非对称相似性函数从大量不相关的信息源中过滤特定学生感兴趣的资源。在对来自访问资源的信息进行细化之后，基于不同参数的相关重要性，我们介绍了用于自动定义向量空间模型（即使用的信息过滤模型）的技术，并描述了如何学习使用学习和遗忘系数的用户资料。已经构造并测试了不同的实验案例，以验证所提出技术的特性；所建议的算法在合理的时间内也可以为互联网冲浪学生带来良好的效果。

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