数字化教育资源库中的个性化搜索与推荐:以ORI-OAI为例

2016 4th IEEE International Colloquium on Information Science and Technology (CiSt) Pub Date : 2016-10-01 DOI:10.1109/CIST.2016.7805108

Hamid Slimani, N. E. Faddouli, Rachid Benslimane, S. Bennani

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引用次数: 3

摘要

摩洛哥大学里大量的数字资源，主要是教育资源，很难满足学生的信息需求。因此，这提出了在存储库中对数字教育资源(DER)进行个性化搜索和推荐的问题。在本文中，我们提出通过以下功能来丰富知识库模型ORI-OAI:基于学生兴趣的结果过滤，基于学生能力的数字教育资源推荐和增加阿拉伯语。

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Personalized search and recommendation in a digital educational resources repository: The case of ORI-OAI

The profusion of digital resources, mainly educational ones, inside the Moroccan universities makes it difficult to satisfy students' information needs. Hence, this raises the issue of personalized search and recommendation of Digital Educational Resources (DER) within a repository. In this paper, we propose enriching the repository model ORI-OAI by the following functionalities: the filtering of results based on students' interests, the recommendation of digital educational resources based on their competences and adding of the Arabic language.

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2016 4th IEEE International Colloquium on Information Science and Technology (CiSt)

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