节点文献
基于协同过滤技术的在线学习个性化推荐系统研究
Research on Personalized Recommendation System for Online Learning Based on Collaborative Filtering Technology
【摘要】 为促进高校信息技术与教育教学的深度融合,提出通过构建在线学习系统开展网络学习,将传统的线下课堂学习与线上学习结合起来,实现混合式学习。以My Eclipse作为开发平台,Sql Server作为数据库,采用基于SSH框架(struts2+spring+hibernate)的三层架构思想,结合协同过滤算法,实现了在线学习个性化推荐系统。实践证明,该系统能提高学习者个性化自主学习的兴趣,提升学习效果。
【Abstract】 In order to promote the deep integration of information technology and education in Colleges and universities, we propose to build online learning system to carry out online learning, and combine traditional offline classroom learning with online learning to achieve blended learning. Taking My Eclipse as the development platform, Sql Server as database, and adopting the three tier architecture Based on SSH framework(struts2+spring+hibernate), the online learning personalized recommendation system is implemented combining with collaborative filtering algorithm. The practice has proved that the system can improve the learner’s interest in individualized self-study and improve the learning effect.
【Key words】 online learning system; collaborative filtering; personalized recommendation; autonomous learning;
- 【文献出处】 电脑知识与技术 ,Computer Knowledge and Technology , 编辑部邮箱 ,2018年03期
- 【分类号】TP391.3
- 【被引频次】12
- 【下载频次】355