数字图书馆论坛2023，Vol.19Issue(12)：11-20,10.DOI:10.3772/j.issn.1673-2286.2023.12.002
基于用户群体画像分析的慕课平台知识服务策略研究
Knowledge Service Strategy of MOOC Platforms Based on User Group Portrait Analysis
摘要
Abstract
As an important kind of online learning platform,MOOC website stores a large number of knowledge service resources,which is also an important scene for the implementation of knowledge services and a part of the knowledge service system.Studying the group structure and characteristics of current MOOC users is not only conducive to improving the quality of platform service,but also to enriching the knowledge service channels,so as to better meet the diversified needs of knowledge service users.This paper focuses on the knowledge service of MOOC.From the perspective of users,this paper takes users of Chinese University MOOC platform as samples,applies K-means++ clustering algorithm to conduct user group portrait and analysis,and finally divides MOOC users into four types:silent users,active users,demand-oriented users,and potential users.Based on the portrait results,this paper proposes the optimization strategies of knowledge service based on the MOOC scene,in order to improve the user satisfaction of MOOC and improve the corresponding construction of intelligent knowledge service system.关键词
用户画像/慕课/知识服务/聚类Key words
User Portrait/MOOC/Knowledge Service/Clustering引用本文复制引用
刁雪桦,朱学芳..基于用户群体画像分析的慕课平台知识服务策略研究[J].数字图书馆论坛,2023,19(12):11-20,10.基金项目
本研究得到国家社会科学基金项目"5G环境下中国智慧知识服务体系构建研究"(编号:22BTQ017)资助. （编号:22BTQ017）
