Research on Personalized Adaptive Resource Recommendation Algorithm Based on Learning Style
WANG Haochang
WANG Hui
PAN Junhui
Marius.Petrescu
ZHANG Qiang
Abstract：Personalized adaptive resource recommendation is a learner-centered process,which is based on artificial intelli-gence and big data technology,simulated human thinking to carry out learning resource recommendation.In this paper,the learner model and resource model are constructed separately on the basis of analyzing the learning styles of learners and resources,the re-search of recommendation algorithms on personalized and adaptive resource recommendation based on learning style filtering,col-laborative filtering and association rules,which used to carry out.Results show that hybrid adaptive recommendation based on learn-ing style are more in line with the personalized learning needs of learners.
Keywords：learning styleadaptive learningpersonalized recommendation
Publication Date：2024-01-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 94-98 )