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) 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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008 |
| Pages | 372-376 |
| Number of pages | 5 |
| DOIs | |
| Publication status | Published - 2008 |
| Event | 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008 - Sydney, NSW Duration: 2008 Dec 9 → 2008 Dec 12 |
Other
| Other | 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008 |
|---|---|
| City | Sydney, NSW |
| Period | 08/12/9 → 08/12/12 |
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ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Electrical and Electronic Engineering
Cite this
Co-occurrence analysis focused on blogger communities. / Sato, Shin Ya; Fukuda, Kensuke; Hirotsu, Toshio; Kurihara, Satoshi; Sugawara, Toshiharu.
Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008. 2008. p. 372-376 4740475.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Co-occurrence analysis focused on blogger communities
AU - Sato, Shin Ya
AU - Fukuda, Kensuke
AU - Hirotsu, Toshio
AU - Kurihara, Satoshi
AU - Sugawara, Toshiharu
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=62949218614&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=62949218614&partnerID=8YFLogxK
U2 - 10.1109/WIIAT.2008.28
DO - 10.1109/WIIAT.2008.28
M3 - Conference contribution
AN - SCOPUS:62949218614
SN - 9780769534961
SP - 372
EP - 376
BT - Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008
ER -