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
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;
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
DOI :
10.1109/ICEIT.2010.5608424
