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According to a Technorati report, 40% of blog readers agree that blog content is better than content in mainstream media; 48% of bloggers believe network users will obtain knowledge through blogs within the next five years. However, blogs still exist like isolated islands. One approach to break this barrier is to use a clustering technique to link similar articles together. Traditionally, clustering methods utilize keywords extracted from whole articles. Because queried keywords represent user's intentions, we believed they provide a better foundation for clustering methods.The experimental results show that the average precision and recall values of clustering methods based on queried keywords perform better than those of using social tagging and keywords extracted from whole articles. In addition, FCA+HAC using queried keywords outperforms other studied methods.
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