Presentation 2003/7/11
The System of Panel Logs Analysis with Web Communities
Shingo OTSUKA, Masashi TOYODA, Masaru KITSUREGAWA,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) To extract model of Web users' behavior is of decisive importance and there are a lot of work has been done in this area. As far as we know, most of the work utilize logs on server-side, even it can grain an understanding of behavior inside the server, but it is hard to analyze complete users' behavior (inside and outside the server). Recently, similar to survey on TV audience rating, a new kind of business appeared, which collects URL histories of users (called panel) who are selected without statistic deviation. By analyzing panel logs which are merged from panels, it becomes possible to collect all the web pages (URLs) accessed by the users. In contrast to Web server logs which have a limited page-space, panel logs have an extremely broad page-space. For this reason, it's difficult to get hold of behavior on global page-space by just checking reference histories. Here, by utilizing Web communities technique which clusters similar web pages into groups, a prototype system which extract users' behavior access patterns globally is proposed.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Web logs analysis / Web logs mining / Web community
Paper # DE2003-91
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Conference Information
Committee DE
Conference Date 2003/7/11(1days)
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Paper Information
Registration To Data Engineering (DE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) The System of Panel Logs Analysis with Web Communities
Sub Title (in English)
Keyword(1) Web logs analysis
Keyword(2) Web logs mining
Keyword(3) Web community
1st Author's Name Shingo OTSUKA
1st Author's Affiliation Institute of Industrial Science, The University of Tokyo()
2nd Author's Name Masashi TOYODA
2nd Author's Affiliation Institute of Industrial Science, The University of Tokyo
3rd Author's Name Masaru KITSUREGAWA
3rd Author's Affiliation Institute of Industrial Science, The University of Tokyo
Date 2003/7/11
Paper # DE2003-91
Volume (vol) vol.103
Number (no) 192
Page pp.pp.-
#Pages 6
Date of Issue