期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2011
卷号：11
期号：1
页码：67-70
出版社：International Journal of Computer Science and Network Security
摘要：Internet has been universally recognized as a medium for network-enabled transfer of information and knowledge in various areas. Taking advantage of the continuously improving, web-based learning systems plays an important role for self-learning. Nevertheless, learning systems do not generally adapt to learners profiles. Learners have to spend a lot of time before reaching the learning goal that is compatible with their knowledge background. In this paper, we propose architecture for intelligent E-Learning system architecture which helps learners taking advantage of the web massive contents through the use of an automated assistant (a recommender system). The proposed recommender system is based on a novel feature reduction technique with the goal of being able to adapt according to the learners interest in the general domain without being specific to a single domain.
关键词：Auto Recommender; E-Learning; Artificial Intelligence and Tutoring Systems
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