论文标题
实施巴基斯坦虚拟大学的推荐系统
Implementation of Course Recommender System for Virtual University of Pakistan
论文作者
论文摘要
巴基斯坦工作的大学正在为不同级别提供一套全面的学位课程。巴基斯坦虚拟大学是国家的第一个机构，完全基于现代信息和通信技术。它在许多不同的专业中提供教育，并且可以提供各种学习领域。每个课程中提供多个课程，以满足学位的几个一般要求。选择与能力和兴趣保持一致的课程可能成为确定学生最终分数（CGPA）的重要因素。为此，开发了专门为虚拟大学提供的课程设计的基于网络的课程推荐系统。基于用户的协作过滤和评级预测方法用于计算预期的标记和等级。针对当前可用的课程和2600名学生的模拟数据对系统进行了测试。测试结果表明，预期分数在某种程度上取决于学生在目标课程中已经研究的课程和类似学生的平均分数中的平均分数。使用100个观测值的平均绝对误差来测量实现系统的精度。 MAE值出现在可接受的范围内。
Universities working in Pakistan are offering a comprehensive set of degree programs for different levels. Virtual University of Pakistan is country's first institution completely based on modern information and communication technologies. It offers education in many different majors and various areas of study are available. Multiple courses are offered in each program that satisfy several general requirements of degree. Selection of courses that align with competency and interest can become an important factor in determining final score (CGPA) of student. For this purpose, a web-based course recommender system specifically designed for courses offered at Virtual University is developed. User-based collaborative filtering and rating-prediction approach is used for calculation of expected marks and grades. System is tested against 470 currently available courses and simulated data of 2600 students. Test results showed that expected marks are somehow dependent on student's average marks in already studied courses and average marks of similar students in target course. Accuracy of implemented system is measured using Mean Absolute Error for 100 observations. MAE value came out to be in acceptable range.
