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 |
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| 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 Dec 1 |
| Event | 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008 - Sydney, NSW, Australia Duration: 2008 Dec 9 → 2008 Dec 12 |
Publication series
| Name | Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008 |
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Conference
| Conference | 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008 |
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| Country | Australia |
| City | Sydney, NSW |
| Period | 08/12/9 → 08/12/12 |
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Electrical and Electronic Engineering
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Cite this
Sato, S. Y., Fukuda, K., Hirotsu, T., Kurihara, S., & Sugawara, T. (2008). Co-occurrence analysis focused on blogger communities. In Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008 (pp. 372-376). [4740475] (Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008). https://doi.org/10.1109/WIIAT.2008.28