文章基本信息

标题：A Personalized English Learning Material Recommendation System Based on Knowledge Graph
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作者：Yiqin Huang ; Jiang Zhu
期刊名称：International Journal of Emerging Technologies in Learning (iJET)
印刷版ISSN：1863-0383
出版年度：2021
卷号：16
期号：11
页码：160-173
DOI：10.3991/ijet.v16i11.23317
出版社：Kassel University Press
摘要：The world has rushed into the information age. As the lingua franca, English shapes the global landscape of information transmission and exchange. Mastering English is equivalent to possessing an important tool for acquiring precious information. Therefore, it is very necessary to improve English teaching. This paper analyzes the problems in traditional classroom teaching and online learning of English, and discusses how to keep students unbaffled in online learning, improve their English learning efficiency, and satisfy their personalized demands. Specifically, the relevant data were characterized by knowledge points in English teaching, and used to formulate a knowledge graph. Then, the related knowledge points were labeled in online learning data on learning platforms. After that, user portrait was created by analyzing the data on daily learning behaviors. Finally, collaborative filtering was coupled with content-based recommendation to push English learning resources to students, which meet their personalized demands.
关键词：Knowledge graph; personalized English learning; learning resources recommendation; collaborative filtering; recommendation system