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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chang Sun Bing-Quan Liu Cheng-Jie Sun De-Yuan Zhang Xiao-Long Wang |
| Copyright Year | 2010 |
| Description | Author affiliation: School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China (Chang Sun; Bing-Quan Liu; Cheng-Jie Sun; De-Yuan Zhang; Xiao-Long Wang) |
| Abstract | Blogs have influenced our life profoundly and people preferred to subscribe to influential bloggers they are interested in. Hence, the identification of influential bloggers automatically has become an important task. Previous researches focus on the blog sites in which there exist abundant hyperlinks, but their methods can not scale to ones that have few hyperlinks. In this paper, we propose a novel algorithm called SimRank to recommend influential bloggers. Our algorithm is based on the observation that the reproduction of blog posts and similar contents is common in blogosphere, which form implicit links between bloggers. By measuring the text similarity of the blog posts, we create link graph between bloggers, and adopt the PageRank algorithm to rank the importance of bloggers. Experimental results indicate that our proposed algorithm is effective in recommending bloggers. |
| Starting Page | 3368 |
| Ending Page | 3373 |
| File Size | 246125 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424465262 |
| e-ISBN | 9781424465279 |
| DOI | 10.1109/ICMLC.2010.5580682 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-07-11 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Blogs Search engines Machine learning algorithms Algorithm design and analysis Mathematical model Equations Machine learning Link Analysis Influential Blogger SimRank Text Similarity |
| Content Type | Text |
| Resource Type | Article |
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