Effectively finding relevant Web pages from linkage information

被引：36
|
作者：
Hou, JY [1 ]
Zhang, YC
机构：
[1] Deakin Univ, Sch Informat Technol, Melbourne, Vic 3125, Australia
[2] Victoria Univ Technol, Sch Comp Sci & Math, Melbourne, Vic 8001, Australia
来源：
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING | 2003年 / 15卷 / 04期
关键词：
World Wide Web; Web search; information retrieval; hyperlink analysis; singular value decomposition (SVD);
D O I：
10.1109/TKDE.2003.1209010
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents two hyperlink analysis-based algorithms to find relevant pages for a given Web page (URL). The first algorithm comes from the extended cocitation analysis of the Web pages. It is intuitive and easy to implement. The second one takes advantage of linear algebra theories to reveal deeper relationships among the Web pages and to identify relevant pages more precisely and effectively. The experimental results show the feasibility and effectiveness of the algorithms. These algorithms could be used for various Web applications, such as enhancing Web search. The ideas and techniques in this work would be helpful to other Web-related researches.
引用
收藏
页码：940 / 951
页数：12
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