文章基本信息

标题：Study on and Realization of Hybrid Recommendation-Based Adaptive Learning System
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作者：Xuekong Zhao ; Lei Cen ; Shirong Long 等
期刊名称：Journal of Software Engineering
印刷版ISSN：1819-4311
电子版ISSN：2152-0941
出版年度：2015
卷号：9
期号：4
页码：886-894
DOI：10.3923/jse.2015.886.894
出版社：Academic Journals Inc., USA
摘要：Adaptive Learning System (ALS) is an effective solution for the supporting service to personalized learning. Recommending personalized contents according to the differences of learners is the core mechanism of ALS. Based on the modeling of learners and domain knowledge, this study uses the content and collaborative filtering-based hybrid recommendation to realize a new-type personalized proactive recommendation mechanism. Experiment results show that the findings of this research could well recommend proper learning contents suitable for learners to improve their learning effect.