ACM Home Page
Please provide us with feedback. Feedback
PageSim: a novel link-based measure of web page aimilarity
Full text PdfPdf (241 KB)
Source International World Wide Web Conference archive
Proceedings of the 15th international conference on World Wide Web table of contents
Edinburgh, Scotland
POSTER SESSION: Browsers and UI, web engineering, hypermedia & multimedia, security, and accessibility table of contents
Pages: 1019 - 1020  
Year of Publication: 2006
ISBN:1-59593-323-9
Authors
Zhenjiang Lin  The Chinese University of Hong Kong, Shatin, NT, Hong Kong
Michael R. Lyu  The Chinese University of Hong Kong, Shatin, NT, Hong Kong
Irwin King  The Chinese University of Hong Kong, Shatin, NT, Hong Kong
Sponsors
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 18,   Downloads (12 Months): 75,   Citation Count: 2
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Review this Article  
Save this Article to a Binder    Display Formats: BibTex  EndNote ACM Ref   
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1135777.1135994
What is a DOI?

ABSTRACT

To find similar web pages to a query page on the Web, this paper introduces a novel link-based similarity measure, called PageSim. Contrast to SimRank, a recursive refinement of cocitation, PageSim can measure similarity between any two web pages, whereas SimRank cannot in some cases. We give some intuitions to the PageSim model, and outline the model with mathematical definitions. Finally, we give an example to illustrate its effectiveness.




Collaborative Colleagues:
Zhenjiang Lin: colleagues
Michael R. Lyu: colleagues
Irwin King: colleagues