• DocumentCode
    1939163
  • Title

    Teaching Resources Recommendation System Based on Personality Design

  • Author

    Luo, Qi

  • Author_Institution
    Wuhan Inst. of Technol., Wuhan
  • Volume
    7
  • fYear
    2007
  • fDate
    19-22 Aug. 2007
  • Firstpage
    4154
  • Lastpage
    4158
  • Abstract
    With the development and widespread of network, web based learning has become one of the most important ways of educating and researching, in order to meet personalized needs of learners, the technologies of personality and adaptive filtering is applied in the paper, while the model of personalized teaching resources recommendation system is proposed. This model can study and trace the personalized interests automatically, and also can filter teaching resources according to learner´s personalized interest characteristic, realize the personalized recommendation service of teaching resource. Some key realization technologies are also introduced in the paper.
  • Keywords
    Internet; computer aided instruction; information filtering; information filters; information resources; teaching; Web based learning; adaptive filtering; personality design; personalized recommendation service; teaching resource recommendation system; Adaptive filters; Courseware; Cybernetics; Design engineering; Education; Electronic mail; Filtering; Machine learning; Paper technology; Resource management; Interest characteristic; Personalized recommendation; Teaching resources; Web based learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2007 International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-0973-0
  • Electronic_ISBN
    978-1-4244-0973-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2007.4370874
  • Filename
    4370874