ACM Home Page
Please provide us with feedback. Feedback
Digital Library logoTake a look at the new version of this page: [ beta version ]. Tell us what you think.
Finding similar pages in a social tagging repository
Full text PdfPdf (106 KB)
Source
International World Wide Web Conference archive
Proceeding of the 17th international conference on World Wide Web table of contents
Beijing, China
POSTER SESSION: Posters table of contents
Pages: 1091-1092  
Year of Publication: 2008
ISBN:978-1-60558-085-2
Authors
Alex Penev  University of New South Wales, Sydney, Australia
Raymond K. Wong  NICTA, Sydney, Australia
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 4,   Downloads (12 Months): 66,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

Tools and Actions: Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1367497.1367671
What is a DOI?

ABSTRACT

Social tagging describes a community of users labeling web content with tags. It is a simple activity that enriches our knowledge about resources on the web. For a computer to help users search the tagged repository, it must know when tags are good or bad. We describe TagScore, a scoring function that rates the goodness of tags. The tags and their ratings give us a succinct synopsis for a page. We `find similar' pages in Del.icio.us by comparing synopses. Our approach gives good correlation to the full cosine similarity but is hundreds of times faster.



Collaborative Colleagues:
Alex Penev: colleagues
Raymond K. Wong: colleagues