Collaborative User Tracking for Community Organization on Blogosphere: A Case Study of eLearning@BlogGrid

  • Jason J. Jung
  • Inay Ha
  • Supratip Ghose
  • Geun-Sik Jo
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4256)


The aim of this study is to recommend relevant information to users by organizing user communities on electronic learning environment. In this paper, we propose a weblog-based approach to modeling users during collaborative learning process. Thereby, we formulate user behaviors on blogosphere, e.g., posting articles, linking to neighbors, and interactions between neighbors. These user models are capable of being compared with others to quantify similarities between users. We apply co-occurrence analysis methods. In this study, we deploy BlogGrid platform to support information pushing service to students. Through our experimental results, we found out that average weighting measurement scheme with co-occurrence patterns from responding (e.g., comments and trackback) activities is the most significant patterns for information pushing on collaborative learning.


Collaborative Learning Community Organization Heuristic Function User Context Electronic Learning 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jason J. Jung
    • 1
    • 2
  • Inay Ha
    • 2
  • Supratip Ghose
    • 2
  • Geun-Sik Jo
    • 2
  1. 1.INRIA Rhône-AlpesSaint IsmierFrance
  2. 2.Intelligent E-Commerce Systems Laboratory, School of Computer and Information EngineeringInha UniversityIncheonKorea

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