Won-Seok Hwang, Sang-Wook Kim, Duck-Ho Bae, Young-Joo Do
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A blog is a personal web site, usually maintained by an individual, with posts that contain private thoughts. Existing algorithms for web-page ranking are not directly applicable to post ranking in blog environment since posts have their unique features different from those of web-pages. In this paper, we first model the relationships between bloggers and posts as a bipartite graph referred to as a post-blogger graph. Next, we propose new post ranking algorithms by modifying prior web-page ranking algorithms to be suitable for the post-blogger graph. Then, we evaluate the accuracy of post ranking algorithms by performing experiments using real-world blog data.
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