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.
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Jung, J.J., Ha, I., Ghose, S., Jo, GS. (2006). Collaborative User Tracking for Community Organization on Blogosphere: A Case Study of eLearning@BlogGrid . In: Feng, L., Wang, G., Zeng, C., Huang, R. (eds) Web Information Systems – WISE 2006 Workshops. WISE 2006. Lecture Notes in Computer Science, vol 4256. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11906070_28
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DOI: https://doi.org/10.1007/11906070_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-47663-4
Online ISBN: 978-3-540-47664-1
eBook Packages: Computer ScienceComputer Science (R0)