Preventing Spam Blogs Using Content Analysis and User Behaviour Model
Spam blog is a subset of blog which contains nothing more than stolen materials and inauthentic text designed to gain profit from various type of advertisements. Splogs have become a nuisance in the blogosphere because it pollutes search engine results and blog update servers. This paper discusses t...
| 第一著者: | |
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| フォーマット: | 学位論文 |
| 言語: | 英語 英語 |
| 出版事項: |
2007
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| オンライン･アクセス: | https://etd.uum.edu.my/21/1/mohammad_hafiz.pdf https://etd.uum.edu.my/21/2/mohammad_hafiz.pdf |
| 要約: | Spam blog is a subset of blog which contains nothing more than stolen materials and inauthentic text designed to gain profit from various type of advertisements. Splogs have become a nuisance in the blogosphere because it pollutes search engine results and blog update servers. This paper discusses the similarity between spam blogs and email spams and the techniques used to identify them. The paper also propose the development of a prototype blog update server that implements content analysis and user behaviour model to filter splogs before they are indexed into blog search engine. |
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