A recommendation algorithm based on Collaborative Filtering Technology in distance learning
Online learning resources growth speed is in geometric series with the rapid development of computer and communication technology.Users in distance learning and training process encounter the problems of information loss and resource overload,the main reason is that the distance learning system cant effectively understanding of teaching resources semantic information,different structure of teaching resources cant effectively organized into useful knowledge at present.In addition,the system cant provide personalized learning services for users according to different learning needs and backgrounds.How to quickly and effectively obtain the personalized learning information and learning resources from a large number of learning resources has become an urgent need for users.The CFR algorithm using combined similarity of user attributes and interest topics is proposed.Because of the problem of sparse matrix and cold start and in personalized recommendation,the paper proposes a CFR algorithm with combined similarity of user attributes and interest topics,and through experiment verify the algorithm validity.
Recommendation Algorithm Collaborative Filtering Distance Learning
Ji-chun Zhao Lei Chen Jian xin Guo
Beijing Academy of Agriculture and Forestry Sciences;The Research Center of Beijing Engineering Tech Beijing Academy of Agriculture and Forestry Sciences
国际会议
重庆
英文
2320-2323
2017-03-25（万方平台首次上网日期，不代表论文的发表时间）