摘要
基于"互联网+"技术的在线学习是一种新的、有效的学习方式,有助于学习者知识技能水平的提高。然而,很多学习者难以在海量网络课程中选择自己真正需要的课程。针对该问题,本文设计了一种基于协同过滤技术的线上课程推荐系统,改进了协同过滤算法的缺陷,为学习者提供有针对性的课程推荐,促进基于"互联网+"技术的人才培养。
Learning online based on ＂ Internet ＋＂technology is a newand effective way of learning,it is conducive to raise learners＇ knowledge and skills,but many learners finds it hard to choose the online course which they really need.Aiming at the existing problems,this paper designs an online course recommendation System based on collaborative filtering technology,and overcomes the shortcomings of collaborative filtering to provide well-directed course for learners,so as to promote the talents cultivation that based on ＂ Internet ＋＂ technology.
作者
柯秀文
KE Xiuwen(Software College of Shangqiu Polytechnic,Shangqiu 476001,Henan,China)
出处
《智能计算机与应用》
2018年第3期185-187,共3页
Intelligent Computer and Applications
关键词
在线课程
协同过滤技术
学习者
online Course
collaborative filtering
learner
