Co-occurrence analysis focused on blogger communities

Shin Ya Sato*, Kensuke Fukuda, Toshio Hirotsu, Satoshi Kurihara, Toshiharu Sugawara

*この研究の対応する著者

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

We studied the problem of finding a subspace of Web pages that is contextually consistent for co-occurrence analysis. We looked at blogs and proposed blogger-based co-occurrence analysis, which assumes that two items are relevant to each other if they appear in any of the blog entries posted by the same blogger. We show that (1) bloggerbased analysis outperforms page-based analysis in solving context-sensitive problems and that (2) analysis focused on bloggers forming a community yields better performance compared with that focused on isolated bloggers.

本文言語English
ホスト出版物のタイトルProceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008
ページ372-376
ページ数5
DOI
出版ステータスPublished - 2008
イベント2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008 - Sydney, NSW, Australia
継続期間: 2008 12月 92008 12月 12

出版物シリーズ

名前Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008

Conference

Conference2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008
国/地域Australia
CitySydney, NSW
Period08/12/908/12/12

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • コンピュータ サイエンスの応用
  • 電子工学および電気工学

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