WEKO3
アイテム
Detecting Web Spam from a Directed Graph of Web Sites
http://hdl.handle.net/2261/50144
http://hdl.handle.net/2261/5014404c2edfe-1917-421e-9a5f-93b6efcdebe4
| 名前 / ファイル | ライセンス | アクション |
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K-M221-1.pdf (2.9 MB)
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K-M221-2.pdf (8.0 MB)
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| Item type | 学位論文 / Thesis or Dissertation(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2012-01-11 | |||||
| タイトル | ||||||
| タイトル | Detecting Web Spam from a Directed Graph of Web Sites | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Densely Connected | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | directed graph | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Link Spam | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | union-find | |||||
| 資源タイプ | ||||||
| 資源 | http://purl.org/coar/resource_type/c_46ec | |||||
| タイプ | thesis | |||||
| その他のタイトル | ||||||
| その他のタイトル | ウェブにおける有向サイトグラフからのスパム発見に関する研究 | |||||
| 著者 |
Han, Bingshuang
× Han, Bingshuang |
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| 著者別名 | ||||||
| 識別子Scheme | WEKO | |||||
| 識別子 | 5972 | |||||
| 姓名 | 韓, 冰霜 | |||||
| 著者所属 | ||||||
| 著者所属 | 東京大学大学院情報理工学系研究科電子情報学専攻 | |||||
| 著者所属 | ||||||
| 著者所属 | Department of Information and Communication Engineering, Graduate School of Information Science and Technology, The University of Tokyo | |||||
| Abstract | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | Link spam, which attempts to deceive link-based ranking algorithms of search engines by building densely connected structure between sites, has attracted the attention of researchers in year 2004 and 2005. It has been tightly connected with the success of commercial search engines (such as Google). In our research, we propose a technique for detecting link spam sites in the Web. Our method detects densely connected sets of sites from a directed graph of sites based on several patterns of directed connections, such as cycles and co-citations. We discuss which patterns are useful for detecting link spam, and show results of experiments on our Japanese web archive. The main contributions of this dissertation are outlined as follows: ・We propose a method for detecting the web spam structure based on several patterns of connections. ・We examined appropriate connection patterns and threshold for clustering the spam sites. ・We show the results of an extensive evaluation, based on 600 million sites and a manual examination of over 4000 sites. | |||||
| 書誌情報 | 発行日 2007-02-02 | |||||
| 日本十進分類法 | ||||||
| 主題Scheme | NDC | |||||
| 主題 | 007 | |||||
| 学位名 | ||||||
| 学位名 | 修士(情報理工学) | |||||
| 学位 | ||||||
| 値 | master | |||||
| 研究科・専攻 | ||||||
| 情報理工学系研究科電子情報学専攻 | ||||||
| 学位授与年月日 | ||||||
| 学位授与年月日 | 2007-03-22 | |||||
