DocumentCode
2657409
Title
Constructing taxonomy by hierarchical clustering in online social bookmarking
Author
Han, Zhongming ; Mo, Qian ; Liu, Yanjun ; Zuo, Min
Author_Institution
Sch. of Comput. Sci. & Inf. Eng., Beijing Technol. & Bus. Univ., Beijing, China
Volume
3
fYear
2010
fDate
17-19 Sept. 2010
Abstract
Recent years have witnessed the success of a number of online social bookmarking systems. Research of constructing folksonomy in online social bookmarking system has attracted much attention recently. In this paper, we proposed a hierarchical clustering algorithm based on asymmetric distance metric to explorer hierarchical folksonomy. Average linkage criteria and updating formula for asymmetric distance are discussed in detail. Finally, comprehensive experiments are conducted.
Keywords
Internet; pattern clustering; asymmetric distance metric; average linkage criteria; hierarchical clustering algorithm; hierarchical folksonomy; online social bookmarking system; taxonomy; updating formula; Random access memory; Hierarchical Clustering; Social Bookmarking; folksonomy;
fLanguage
English
Publisher
ieee
Conference_Titel
Educational and Information Technology (ICEIT), 2010 International Conference on
Conference_Location
Chongqing
Print_ISBN
978-1-4244-8033-3
Electronic_ISBN
978-1-4244-8035-7
Type
conf
DOI
10.1109/ICEIT.2010.5608424
Filename
5608424
Link To Document