A Novel Model and Algorithm for Discovering the Potential Web Communities Based on Tensor Decomposition

被引：0

作者：

Yang Hongli ^{[1
,2
]}

He Guoping ^{[2
]}

Wei Yongshan ^{[2
]}

机构：

[1] Shandong Univ Sci & Technol, Coll Sci, Qingdao 266510, Peoples R China

[2] Shandong Univ Sci & Technol, Informat Sci & Engn Coll, Qingdao 266510, Peoples R China

来源：

2008 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-11 | 2008年

关键词：

Web Community; Text; Model and Algorithm; Tensor CP Decomposition; Numerical Experiment;

D O I：

10.1109/CCDC.2008.4598320

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：5189 / +

页数：2