DocumentCode :
480706
Title :
Co-occurrence Analysis Focused on Blogger Communities
Author :
Sato, Shin-ya ; Fukuda, Kensuke ; Hirotsu, Toshio ; Kurihara, Satoshi ; Sugawara, Toshiharu
Author_Institution :
NTT Network Innovation Labs., Musashino
Volume :
1
fYear :
2008
fDate :
9-12 Dec. 2008
Firstpage :
372
Lastpage :
376
Abstract :
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) blogger-based analysis outperforms conventional 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.
Keywords :
Internet; data mining; Web mining; Web pages subspace; blogger-based cooccurrence analysis; context-sensitive problem; Blogs; Communities; Intelligent agent; Intelligent networks; Performance analysis; Principal component analysis; Social network services; Technological innovation; Web mining; Web pages; blogger communities; blogger-based co-occurrence analysis; contextually consistent Web pages;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Intelligence and Intelligent Agent Technology, 2008. WI-IAT '08. IEEE/WIC/ACM International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
978-0-7695-3496-1
Type :
conf
DOI :
10.1109/WIIAT.2008.28
Filename :
4740475
Link To Document :
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