Research on Online Learning Partner Recommendation Method Based on User Portrait Fusion
Integrating user portraits to recommend learning partners for learners can help solve the loneliness problem of online learners and improve learners'participation and loyalty.Analyze the characteristics of learners,design portrait labels from four aspects:basic information,learning prepara-tion,learning style,and learning behavior,collect data from the online teaching platform,perform modeling processing,and use similarity to distinguish similar and complementary learner portraits,so as to recommend the same and heterogeneous learning partners for learners.The experimental results verify the feasibility of the learner portrait and recommendation method.The method of integrating learner portraits to recommend learning partners is more personalized and dynamic,and is more suitable for online teaching environment.
user portraitslearning partner recommendationonline learningcollaborative learn-ing
万方数据
维普
