Study of Priority Recommendation Method Based on Cognitive Diagnosis Model

• 作者: Jiao Liu Jinyu Song Song Huang Suojuan Zhang Xianglin Liao Xiaohan Yu
• 来源期刊: 国际计算机前沿大会会议论文集
• 学科: 文学
• 关键词: Priority recommendation Knowledge mastery Cognitive diagnosis SIMILARITY
• 年，卷（期）: 2020,（2）
• 页码范围: 638-647
• 页数: 10页
• 分类号: H31

摘要

In the context of personalized learning,the recommendation method aims to provide appropriate exercises for each student.And individualized knowledge status may give more effective recommendation.In this study,a priority recommendation method based on cognitive diagnosis model is proposed,and cosine similarity algorithm is applied to improve the accuracy and interpretability of recommendation.Then the performance of the methods was compared under cognitive diagnosis models.The experimental results show that the method proposed achieves more accurate results and better performance.