期刊文献+

“互联网+”时代移动学习资源个性化推荐模型 被引量:1

下载PDF
导出
摘要 本文在分析移动学习资源个性化推荐现状的基础上,给出了一种基于混合模式的移动学习资源个性化推荐模型,并对模型的各个模块进行简单说明。希望为今后移动学习资源的个性化推荐提供模型构架方面的参考。
作者 王吉林
出处 《电子技术与软件工程》 2019年第22期154-155,共2页 ELECTRONIC TECHNOLOGY & SOFTWARE ENGINEERING
  • 相关文献

参考文献5

二级参考文献56

  • 1杨星.现代网络教育中学习的个别化和个性化[J].中国成人教育,2006(6):120-121. 被引量:7
  • 2易小明.个体·群体·类——人的三重属性统一理论作为一种研究方法[J].天津社会科学,2007(1):49-51. 被引量:15
  • 3余胜泉.从知识传递到认知建构、再到情境认知——三代移动学习的发展与展望[J].中国电化教育,2007(6):7-18. 被引量:302
  • 4G6rlitz O, Sizov S, Staab S.PINTS: Peer-to-peer Infras- tructure for Tagging SystemiC]. In: Proceedings of the 7th International Conference on Peer-to-Peer Systems (IPTPS). Berkeley, CA, USA: USENIX Association, 2008.
  • 5Fokker J, Pouwelse J, Buntine W. Tag-Based Navigation for Peer-to-Peer Wikipedia[OL].[2013 - 10-20].http://bioinformatics. tudelft.nl/sites/de fault/files/final_p2pwikipedia.pdf.
  • 6Dattolo A, Ferrara F, Tasso C. Neighbor Selection and Recommendations in Social Bookmarking Tools [C]. In: Proceedings of the 9th International Conference on Intelligent Systems Design and Applications. 2009: 267-272.
  • 7Chen H, Dumais S.Bringing Order to the Web: Automatically Categorizing Search Results[C]. In:Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. New York: ACM, 2000: 145-152.
  • 8Shiratsuchi K, Yoshii S, Furukawa M. Finding Unknown Interests Utilizing the Wisdom of Crowds in a Social Bookmark Service[C]. In: Proceedings of the 2006 IEEE/ WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology. Washington DC: IEEE Computer Society, 2006:421-424.
  • 9Van Setten M, Brussee R, Van Vliet H, et al.On the Importance of "Who Tagged What" [C].In:Proceedings of the Workshop on the Social Navigation and Community Based Adaptation Technologies at AH 2006, Dublin, Ireland. 2006.
  • 10Au Yeung C, Gibbins N, Shadbolt N. A Study of User Profile Generation from Folksonomies [C]. In: Proceedings of the Workshop on Social Web and Knowledge Management at the 17th International Conference on World Wide Web,Beijing, China,2008.

共引文献32

同被引文献3

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部