基于知识图谱的高职英语教学资源推荐系统设计

Design of Higher Vocational English Teaching Resource Recommendation System Based on Knowledge Graph

为提高推荐资源与学生需求资源的匹配度,以某高职院校英语学科为例,开展资源推荐系统的开发与设计研究。首先,创建某一知识点的关联链接,定义知识点的标签,根据标签的实体属性,创建与此实体属性相关的其他关联知识,统一知识点的格式后,按照标准录入计算机数据库,建立高职英语教学资源库;其次,根据资源库中不同实体结构的映射关系,建立多维度英语教学资源知识图谱;最后,利用协同过滤计算中的相似度计算方法,计算需求资源与推荐资源的相似度,根据学生所掌握的知识点,设计英语教学资源的个性化推荐。实验结果表明,该系统的应用效果良好,可以提高推荐资源与学生需求资源的匹配度。

In order to improve the matching between recommendation resources and student demand resources,a research on the development and design of a resource recommendation system was carried out using the English subject of a certain vocational college as an example.Firstly,create an associated link for a certain knowledge point,define the label for the knowledge point,create other associated knowledge related to this entity attribute based on the entity attribute of the label,unify the format of the knowledge point,and input it into a computer database according to standards to establish a vocational English teaching resource library.Secondly,based on the mapping relationships of different entity structures in the resource library,establish a multi-dimensional knowledge graph of English teaching resources.Finally,the similarity calculation method in collaborative filtering calculation is used to calculate the similarity between demand resources and recommendation resources,and personalized recommendation of English teaching resources is designed according to the knowledge points that students have mastered.The experimental results show that the application effect of this system is good,and it can improve the matching degree between recommendation resources and student demand resources.