Research on personalized recommendation system on Item-based collaborative filtering algorithm
Jichun Zhao, Shihong Liu, Junfeng Zhang · 2015
A lot of learning resources and information occupy rural distance education platform, and farmers don't know how to find useful information in the learning platform.Personalized distance learning system can provide farmers with required learning resources.The paper analyzes classical collaborative filtering algorithms, and Item based collaborative filtering algorithm is used in distance education platform, which is experimented with the distance learning platform data.The test result show that item based collaborative filtering algorithm in prediction accuracy and coverage is better with the growing of the sparsity of the data set, and the average accuracy is82.99%, the average coverage is 99.06%.