数字图书馆论坛Issue(11)：29-35,7.DOI:10.3772/j.issn.1673-2286.2019.11.004
基于用户画像技术的教育资源个性化推荐服务研究
Research on Personalized Recommendation Service for Educational Resources Based on User Profile
摘要
Abstract
As the powerful tool for analysis of learners’ individual resource needs and push service design of educational resources under the background of "Internet +" information age, user profile technology provides new research approach for personalized recommendation service for educational resources. The application practice of user profile technology and the development status of personalized recommendation service for educational resources are generalization and induction. Based on user profile technology, the three-layer personalized recommendation service for educational resources model is established which is consisting of data source layer, data analysis integration layer and data mining layer in the context of big data. From the specific aspects of optimizing the push of personalized learning resources, developing group services for learners, providing personalized learning path navigation services, the application mode of personalized recommendation service for educational resources is discussed and analyzed based on user profile technology, in order to provide reference for carrying out the personalized recommendation service of educational resources and meeting the multi granularity personalized learning needs of learners under the background of big data.关键词
用户画像/教育资源/个性化推荐Key words
User Profile/ Educational Resources/ Personalized Recommendation Service分类
社会科学引用本文复制引用
尹婷婷,龚思怡,曾宪玉..基于用户画像技术的教育资源个性化推荐服务研究[J].数字图书馆论坛,2019,(11):29-35,7.基金项目
本研究得到陕西省教育厅专项科研计划项目"基于多约束凸优化的图书馆文献购置经费分配研究"(编号:14JK1497)和中央高校基本科研业务项目"‘双一流’建设背景下我校青年教师教学胜任力提升机制研究"(编号:2018ZCY16)资助. （编号:14JK1497）
