DocumentCode
480676
Title
TagScore: Approximate Similarity Using Tag Synopses
Author
Penev, Alex ; Wong, Raymond K.
Author_Institution
NICTA, Univ. of New South Wales, Sydney, NSW
Volume
1
fYear
2008
fDate
9-12 Dec. 2008
Firstpage
98
Lastpage
104
Abstract
Collaborative tagging is the aggregate effort by a community of online users to annotate web content with metadata labels called tags. It is a simple activity that enriches our knowledge about digital content, and has gained popularity with services such as Del.icio.us. Del.icio.us has a large repository that evolves daily, presenting interesting new problems for IR. We present TagScore, a scoring function to rate the goodness of Del.icio.us tags for their associated web page. It gives us a succinct synopsis for a page that we can use to efficiently find similar pages. Using real Del.icio.us data, we show that our approach gives good correlation to cosine similarity but is several hundred times faster and requires minimal storage overhead.
Keywords
Web sites; identification technology; Del.icio.us; TagScore; Web content; approximate similarity; associated web page; collaborative tagging; digital content; tag synopses; Aggregates; Australia; Filters; Frequency; Intelligent agent; International collaboration; Large-scale systems; Online Communities/Technical Collaboration; Tagging; Web pages; collaborative tagging; del.icio.us; metadata; social bookmarking; web2.0;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Intelligence and Intelligent Agent Technology, 2008. WI-IAT '08. IEEE/WIC/ACM International Conference on
Conference_Location
Sydney, NSW
Print_ISBN
978-0-7695-3496-1
Type
conf
DOI
10.1109/WIIAT.2008.158
Filename
4740432
Link To Document