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An Adjustable Personalization Of Search And Delivery Of Learning Objects To Learners

机译：可调整的个性化搜索，以及将学习对象交付给学习者

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摘要

This paper describes a technical solution realizing an approach for personalized search of learning objects on the Web, which proposes a comparison of a learner (user) profile and learning object descriptions. This comparison is based not only on values of attributes of the learner profile and attributes of the learning object descriptions, but it also considers the importance of these attributes for the learner. In order to implement such a search we propose to develop ontological models of the learner and learning objects as well as approaches for determination and adjustment of the learner's preferences using corresponding ontologies. For this purpose we have selected criteria of estimation of suitability of learning objects to the learner profile and introduced coefficients of importance of these criteria, as well as a method for adjusting these coefficients.
机译：本文介绍了一种技术解决方案，该技术解决方案实现了一种用于在Web上个性化搜索学习对象的方法，该方法提出了学习者（用户）配置文件和学习对象描述的比较。这种比较不仅基于学习者档案的属性值和学习对象描述的属性，而且还考虑了这些属性对学习者的重要性。为了实现这种搜索，我们建议开发学习者和学习对象的本体模型以及使用相应的本体确定和调整学习者偏好的方法。为此，我们选择了估计学习对象是否适合学习者资料的准则，并介绍了这些准则的重要性系数，以及调整这些系数的方法。

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