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• W2023579632 abstract "Blog plays an important role as new type of knowledge base distinguishing from traditional web resource. While information resources in their existing website dealt with a wide range of topics, information resources of the blog are concentrated in specific units of information depending on the user`s interests and have the criteria of classification forresources published by tagging. In this research, we build a tag hierarchy utilizing title keywords and tags of the blog, and propose apost clustering methodology applying the tag hierarchy. We then generate the tag hierarchy reflected the relationship between tags and develop the tag clustering methodology according to tag similarity. In this paper, we analyze the possibility of applying the proposed methodology with real-world examples and evaluate its performances through developed prototype system." @default.
• W2023579632 created "2016-06-24" @default.
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• W2023579632 date "2011-11-30" @default.
• W2023579632 modified "2023-09-22" @default.
• W2023579632 title "Post Clustering Method using Tag Hierarchy for Blog Search" @default.
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• W2023579632 doi "https://doi.org/10.7838/jsebs.2011.16.4.301" @default.
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