Collaborative user tracking for community organization on blogosphere: a case study of eLearning@BlogGrid

  • Authors:

  • Jason J. Jung;Inay Ha;Supratip Ghose;Geun-Sik Jo

  • Affiliations:

  • INRIA Rhône-Alpes, Saint Ismier, France;Intelligent E-Commerce Systems Laboratory, School of Computer and Information Engineering, Inha University, Incheon, Korea;Intelligent E-Commerce Systems Laboratory, School of Computer and Information Engineering, Inha University, Incheon, Korea;Intelligent E-Commerce Systems Laboratory, School of Computer and Information Engineering, Inha University, Incheon, Korea

  • Venue:
  • WISE'06 Proceedings of the 7th international conference on Web Information Systems
  • Year:
  • 2006

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Abstract

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.