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Enabling recommendation system architecture in virtualized environment for e-learning
Egyptian Informatics Journal ( IF 5.2 ) Pub Date : 2021-05-21 , DOI: 10.1016/j.eij.2021.05.003
Sadia Ali 1 , Yaser Hafeez 1 , Mamoona Humayun 2 , Nor Shahida Mohd Jamail 3 , Muhammad Aqib 1 , Asif Nawaz 1
Affiliation  

E-learning sites are useful for improving the skills and awareness of the academic backbone, such as instructors, students, administrative staff, and those who are searching for current information about various educational institutes. Despite all the benefits of an online learning platform, users face some challenges and complexities, such as selecting appropriate learning material and courses based on their needs and preferences. Hence, the provision of quality resources during the training phases is their central responsibility, the lack of online assistance offered by service providers is known to be the key cause of many difficulties. There is a need to create a system that can intelligently propose courses while considering a variety of viewpoints to enhance the learners' skills and knowledge. This research proposes an architecture that builds semantic recommendations with the aid of virtual agents based on user requirements and preferences, assisting academia in seeking appropriate courses in a real-world setting. The experimental and statistical results show that, when compared with existing techniques, the virtualized agent-based recommendation system not only improved user learning skills but also made course selection easier, depending on users’ interests and preferences.



中文翻译:

在虚拟化环境中启用推荐系统架构以进行电子学习

电子学习网站有助于提高学术骨干的技能和意识,例如教师、学生、行政人员以及正在搜索各种教育机构当前信息的人员。尽管在线学习平台有诸多好处,但用户仍面临一些挑战和复杂性,例如根据自己的需求和偏好选择合适的学习材料和课程。因此,在培训阶段提供优质资源是他们的核心责任,众所周知,服务提供商缺乏在线帮助是造成许多困难的主要原因。需要创建一个系统,可以智能地提出课程,同时考虑各种观点,以提高学习者的技能和知识。本研究提出了一种架构,该架构在虚拟代理的帮助下根据用户需求和偏好构建语义推荐,帮助学术界在现实环境中寻找合适的课程。实验和统计结果表明,与现有技术相比,基于虚拟代理的推荐系统不仅提高了用户的学习技能,而且使课程选择更加容易,具体取决于用户的兴趣和偏好。

更新日期:2021-05-21
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