Presentation | 2000/7/20 Finding Related Communities on the Web Masashi Toyoda, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We propose a new web search technique, which finds related communities from a given URL. A community is a set of web pages written by authors who have a common interest on a specific topic, such as fan pages of a professional baseball team. Our technique finds a community that includes a given URL, and communities on related topics, using hyperlink analysis. For example, when a fan page of a baseball team is given, our technique finds a fan community of the team, and a community of official homepages of baseball teams. Our technique allows the user to perform new type of navigation through the web. It provides additional ways not only to related pages, but also to related communities. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | WWW / community / link analysis |
Paper # | DE2000-62 |
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Conference Information | |
Committee | DE |
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Conference Date | 2000/7/20(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Data Engineering (DE) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Finding Related Communities on the Web |
Sub Title (in English) | |
Keyword(1) | WWW |
Keyword(2) | community |
Keyword(3) | link analysis |
1st Author's Name | Masashi Toyoda |
1st Author's Affiliation | Institute of Industrial Science, University of Tokyo() |
Date | 2000/7/20 |
Paper # | DE2000-62 |
Volume (vol) | vol.100 |
Number (no) | 227 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |