Results 231 to 240 of about 95,530 (267)
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The Efficacy of Tags in Social Tagging Systems
2008Social tagging systems are a popular means for sharing resources. However, social tagging depends on individual knowledge. We evaluate the effectiveness of tags in describing the resources using support vector machines via classification. We achieved precision and recall at 90.22% and 99.27% respectively, with an average accuracy of 89.84%. Our results
Khasfariyati Razikin +3 more
openaire +1 more source
Exploring the Influence of Tagging Motivation on Tagging Behavior
2010The reasons why users tag have remained mostly elusive to quantitative investigations. In this paper, we distinguish between two types of motivation for tagging: While categorizers use tags mainly for categorizing resources for later browsing, describers use tags mainly for describing resources for later retrieval.
Kern, Roman +2 more
openaire +1 more source
“Why tag me?”: Detecting motivations of comment tagging in Instagram
Expert Systems With Applications, 2022Eunil Park, Jiwon Kang, Jinyoung Han
exaly
Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, 2022
Von Ithipathachai, Maral Azizi
openaire +1 more source
Von Ithipathachai, Maral Azizi
openaire +1 more source
Behavioral tagging underlies memory reconsolidation
Proceedings of the National Academy of Sciences of the United States of America, 2020Martin Giurfa +2 more
exaly
A survey of tagging techniques for music, speech and environmental sound
Artificial Intelligence Review, 2012Jinglan Zhang +2 more
exaly

