A Framework of Hybrid Methods for Splog Detection
More and more people setup their own blogs due to the popularization of web 2.0 and maturation of Internet techniques. People love to share their thoughts and moods even new products experiences through their blogs. This phenomenon pushes the business models and web technologies forward in a rapid speed. It is also becoming an important research topic of bow to improve the search results by using splog detection method. In this paper, we proposed a framework combining five hybrid methods to detect the splogs. In our experiment shows that there is no single method can optimally detect all splogs. We use simple and fast methods to detect the splog to decrease the number of remaining blog for the complex methods. It will successfully decrease the time needed in detecting the splogs. The results of the detection can feedback to the framework, and improve the overall detection performance.
component splog splog detection a framwork of hybrid methods
Chien-Yu Kuo Hsien-Tsung Chang
Computer Science and Information Engineering Chang Grung University Tao-Yuan, Taiwan Computer Science and Information Engineering Chang Gung University Tao-Yuan, Taiwan
国际会议
成都
英文
417-423
2010-07-07（万方平台首次上网日期，不代表论文的发表时间）