基于智能分发的课程系统推荐算法研究

Research on Recommendation Algorithm of Course System Based on Intelligent Distribution

介绍了主流的智能推荐算法,结合某线上学习平台课程现状,提出了基于课程标签关联规则、基于课程相似度协同过滤的两种推荐算法。基于两种算法的优点,构建了具有多路备选集的课程推荐系统,为每一类推荐方式赋值权重,可根据实际需要调整权重参数达到灵活召回推荐结果的目的。

The prevailing intelligent recommendation algorithms are introduced,the current situation of courses on an online learning platform is taken into consideration,and two recommendation algorithms based on course label association rules and course similarity collaborative filtering are proposed.Based on the advantages of the two algorithms,a course recommendation system with multichannel alternative set is constructed,the weights are assigned to each type of recommendation mode and the weight parameters can be adjusted according to the actual needs to flexibly recall recommendation results.