DocumentCode :
2571380
Title :
A novel model and algorithm for discovering the potential Web communities based on tensor decomposition
Author :
Hongli, Yang ; Guoping, He ; Yongshan, Wei
Author_Institution :
Sci. Coll., Shandong Univ. of Sci. & Technol., Qingdao
fYear :
2008
fDate :
2-4 July 2008
Firstpage :
5189
Lastpage :
5194
Abstract :
Based on the analysis of the typical models and algorithms for the discovering the latent Web communities, we give a novel model and its algorithm using tensor CP decomposition for discovering the latent Web communities. The model considers three signatures of the Web pages, which adds a text score of the Web page except for the authority score and hub score. We also present an iteration algorithm for tensor decomposition. Experiment tests show that our model and algorithm are effective.
Keywords :
Web sites; graph theory; tensors; Web communities; Web pages; authority score; hub score; tensor decomposition; text score; Tensile stress; Model and Algorithm; Numerical Experiment; Tensor CP Decomposition; Text; Web Community;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference, 2008. CCDC 2008. Chinese
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-1733-9
Electronic_ISBN :
978-1-4244-1734-6
Type :
conf
DOI :
10.1109/CCDC.2008.4598320
Filename :
4598320
Link To Document :
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