• DocumentCode
    480421
  • Title

    Learning Resources Recommendation System Based on Education Blog

  • Author

    LIU, Liqun

  • Author_Institution
    Guangdong Ocean Univ., Zhanjiang, China
  • Volume
    5
  • fYear
    2008
  • fDate
    12-14 Dec. 2008
  • Firstpage
    805
  • Lastpage
    807
  • Abstract
    Writing and browsing education blogs has become one of the important methods of e-learning. Learners can search the interesting resources from these education blogs. However, the traditional blog search only provides keyword-based matching, lacking automatic extraction of learner interests and further interest-related blog recommendation. It describes the design and implementation of an interest mining and learning resources recommendation system. The system adopts interest mining technology and can automatically identify the learner¿s interests and recommend interest-related blog initiatively. Experimental result shows that the system is effective.
  • Keywords
    Web sites; computer aided instruction; data mining; information filters; e-learning; education blog; interest mining technology; keyword-based matching; lacking automatic extraction; learning resources recommendation system; Classification tree analysis; Computer science; Computer science education; Electronic learning; Equations; Information services; Internet; Software engineering; Systems engineering education; Web sites; blog; data mining; e-learning; resources recommendation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Software Engineering, 2008 International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-3336-0
  • Type

    conf

  • DOI
    10.1109/CSSE.2008.62
  • Filename
    4723025