DocumentCode :
2205487
Title :
Clustering Blog Posts Using Tags and Relations in the Blogosphere
Author :
Zhang, Yin ; Gao, Kening ; Zhang, Bin ; Guo, Jinhua ; Gao, Feihang ; Guo, Pengwei
Author_Institution :
Coll. of Inf. Sci. & Technol., Northeastern Univ., Shenyang, China
fYear :
2009
fDate :
26-28 Dec. 2009
Firstpage :
817
Lastpage :
820
Abstract :
Clustered Web pages, such as blog posts, could be used to improve Web search. In this paper, we propose a folksonomy extending framework using relations in the Blogosphere and demonstrate how the framework could be used to help clustering blog posts. We evaluate the framework by comparing it with content-based folksonomy extending approach. Experiment results show that the framework does help the clustering process.
Keywords :
Web sites; pattern clustering; search engines; Web search; blog posts; blogosphere; clustered web pages; clustering process; content-based folksonomy extending approach; Data mining; Educational institutions; Information science; Information services; Internet; Search engines; Web pages; Web search; Web sites;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4909-5
Type :
conf
DOI :
10.1109/ICISE.2009.396
Filename :
5454433
Link To Document :
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