Social Bookmarking Induced Active Page Ranking
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概要
- 論文の詳細を見る
Social bookmarking services have recently made it possible for us to register and share our own bookmarks on the web and are attracting attention. The services let us get structured data: (URL, Username, Timestamp, Tag Set). And these data represent user interest in web pages. The number of bookmarks is a barometer of web page value. Some web pages have many bookmarks, but most of those bookmarks may have been posted far in the past. Therefore, even if a web page has many bookmarks, their value is not guaranteed. If most of the bookmarks are very old, the page may be obsolete. In this paper, by focusing on the timestamp sequence of social bookmarkings on web pages, we model their activation levels representing current values. Further, we improve our previously proposed ranking method for web search by introducing the activation level concept. Finally, through experiments, we show effectiveness of the proposed ranking method.
- 電子情報通信学会の論文
- 2010-06-01
著者
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KITAGAWA Hiroyuki
Graduate School of Environmental Studies, Nagoya University
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TAKAHASHII Tsubasa
Graduate School of Systems and Information Engineering, University of Tsukuba
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WATANABE Keita
Graduate School of Systems and Information Engineering, University of Tsukuba
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Kitagawa Hiroyuki
Graduate School Of Environmental Studies Nagoya University
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Watanabe Keita
Graduate School Of Systems And Information Engineering University Of Tsukuba
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Kitagawa Hiroyuki
Graduate School Of Systems And Information Engineering University Of Tsukuba
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TAKAHASHI Tsubasa
Graduate School of Systems and Information Engineering, University of Tsukuba
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Takahashi Tsubasa
Graduate School Of Systems And Information Engineering University Of Tsukuba
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