›› 2016, Vol. 29 ›› Issue (1): 152-.

• 论文 • 上一篇    下一篇



  1. (1.上海理工大学 光电信息与计算机工程学院,上海 200093;2.上海市现代光学系统重点实验室,上海 200093)
  • 出版日期:2016-01-15 发布日期:2016-02-25
  • 作者简介:齐婷(1990—),女,硕士研究生。研究方向:个性化推荐技术。佟国香(1968—),女,副教授,硕士生导师。研究方向:计算机控制应用等。
  • 基金资助:


Research on Improved Personalized Courses Recommendation Technology Based on Mixed Mode

QI Ting,TONG Guoxiang   

  1. (1.School of Optical-Electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China;
    2.Shanghai Key Laboratory of Modern Optical Systems,Shanghai 200093,China)
  • Online:2016-01-15 Published:2016-02-25



关键词: 个性化推荐, 混合模式, 相似度, 用户聚类


Problems of lacking in individualized curriculum recommendations and inefficiency exist in current course selection systems of institutions of higher education.In allusion to these limitations,this paper presents a improved mixed model algorithm based on the content,project and user attribute-value through analysis and study of personalized recommendation technology.The proposed algorithm has been successfully applied to the elective system.Experimental results indicate that the proposed approach can solve cold-start technology in personalized recommendation algorithm,improve the related indicators significantly,achieve a personalized recommendation and new courses recommendation and reduce the blindness by the MACE data sets.

Key words: personalized recommendation;mixed mode;similarity;user clustering


  • TP18