摘要
我校全面推行大学生创新训练项目以来,教师出题和选题学生数目逐年增加,传统的直接分配方式在公平性和合理性上都有一定不足,学生和老师都倾向于双向选择。但是由于选题工作的时间周期较短,学生需要在短时间内在大量题目中选择题目,这样会产生一定的盲目性。本文研究将个性化推荐技术应用到选题方式中,为学生推荐适合学生自身特点和兴趣的题目,可以有效降低学生选题的盲目性,提高选题效率。系统已在本校计算机学生中使用,推荐准确率为83.33%,证明系统具有良好的可靠性和可用性。
Since our school fiilly complemented the colleges’ innovation training project, the number of projects and students have been increasing year by year, but the traditional way of direct dis仕 ibution has certain shortcuts in fairness and rationality. Both students and teachers are tended to two-way choice. However, the time period of selec-tion is short and students need to choose a topic in a large number of projects in a short time, which will lead to blindness. In this paper, personalized recommendation technology is applied to the selection method and students can be recommended according to their characteristics and interests which can effectively reduce the blindness and improve the efficiency of selection. The system has been used by students major in computer in our university, and the accuracy rate of conmendation achieves 83.3%, which proves the system has great reliability and availal.
出处
《软件》
2017年第7期14-18,共5页
Software
基金
中央高校基本科研业务费(课题编号:2014QJ05)
国家级大学生创新创业训练计划项目(课题编号:201611413054)
中国矿业大学(北京)课程建设与教学改革项目(课题编号:No.K150408)
关键词
计算机软件与理论
创新训练项目
个性化推荐
选题系统
WEB系统
Computer software and theoty
Imovation training project
Personalized recommendation
Selection system
Contend-based recommendation
Web system
