Study of Priority Recommendation Method Based on Cognitive Diagnosis Model

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.