Research on Postgraduate Examination Question Extraction Algorithms Based on Multilayer Filtering and Dynamic Probability Model

摘要

In view of the characteristics of postgraduate education, such as more courses, quicker content updating, flexible examination methods, and multiple courses compounding questions, a random test question extraction algorithm based on multi-layer filtering model and dynamic probability model is proposed, which strengthens the pertinence of the test question extraction process and improves the efficiency of the algorithm. The results show that the parameters can better approximate the set requirements, the distribution of the problem is reasonable, the versatility is good, and can meet the needs of personalized questions.