The splogs are those blogs created for commercial purposes and purely copies contents from other blogs or webs. The splogs will block the contents of regular blogs and deprecate the value of the blog web server. The problems of detecting the splogs become the research topics in web engineering recently. In this paper, the methodologies and algorithms for detecting the splogs from the Chinese web logs are proposed. The goal of this study is to help blog server maintainers to detect and reduce the possible barricading splogs so that the functions of the web server can be maintained normally. In this paper, a new approach mixed with three factors of blog content similarity and a framework based on the SVM algorithm is proposed. This proposed method can correctly detect the Chinese splogs from a large set of Chinese web log and reduce the possible traffic loads of the Chinese we blog server.
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