DocumentCode
408305
Title
Exploring similarity among Web pages using the hyperlink structure
Author
Huang, Shou-Hsuan Stephen ; Molina-Rodríguez, Carlos Humberto ; Quevedo-Torrero, Jesús Ubaldo ; Fonseca-Lozada, Mario Francisco
Author_Institution
Dept. of Comput. Sci., Houston Univ., TX, USA
Volume
1
fYear
2004
fDate
5-7 April 2004
Firstpage
344
Abstract
Hyperlinks inside HTML pages contain a wealth of information about the relationships among Web pages. Given a set of Web pages, we can explore the hyperlink relationships among these pages. This paper first provides formal definitions of hyperlink relations. We then use the notations to define similarity between two Web pages and between two sets of Web pages. For each one of them, we provide several definitions of similarity using forward and backward links. The similarity measure gives us a number between 0 and 1. We also demonstrate how to use the similarity measure to study clustering within a set of pages and to determine the "diversity" of a set of Web pages.
Keywords
Web sites; hypermedia markup languages; HTML pages; Web pages; formal definitions; hyperlink relations; hyperlink relationships; hyperlink structure; Computer science; Data mining; HTML; Information retrieval; Internet; Keyword search; Search engines; Search methods; Web pages; World Wide Web;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004. International Conference on
Print_ISBN
0-7695-2108-8
Type
conf
DOI
10.1109/ITCC.2004.1286477
Filename
1286477
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