Paper Info
Title
Tag quality feedback: a framework for quantitative and qualitative feedback on tags of social web
Abstract
A feedback framework is proposed in this paper to assistWeb 2.0 users' taggings. A new measure called Estimated Daily Visit is defined and proposed as the measure for tag quality. Quantitative and qualitative feedback methods are also defined with the measure. A prototype has been implemented to show the validity of the framework, and preliminary result shows that the framework can successfully enhance quality of tags on user-generated contents.
Year
DOI
Venue
2010
10.1007/978-3-642-15246-7_62
PRICAI
Keywords
Field
DocType
new measure,tag quality feedback,social web,preliminary result,user-generated content,feedback framework,tag quality,daily visit,qualitative feedback method,user generated content
Social web,Information retrieval,Computer science
Conference
Volume
ISSN
ISBN
6230
0302-9743
3-642-15245-7
Citations 
PageRank 
References 
1
0.37
2
Authors
6
Name
Order
Citations
PageRank
Tae-Gil Noh1598.06
Jae-Kul Lee220.81
Seong-Bae Park331147.31
Seyoung Park47614.48
Sangjo Lee511019.15
Kweon Yang Kim692.66