Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Journal articles
  4. In Tags We Trust: Trust modeling in social tagging of multimedia content
 
research article

In Tags We Trust: Trust modeling in social tagging of multimedia content

Ivanov, Ivan  
•
Vajda, Péter  
•
Lee, Jong Seok  
Show more
2012
IEEE Signal Processing Magazine

Tagging in online social networks is very popular these days, as it facilitates search and retrieval of multimedia content. However, noisy and spam annotations often make it difficult to perform an efficient search. Users may make mistakes in tagging and irrelevant tags and content may be maliciously added for advertisement or self-promotion. This article surveys recent advances in techniques for combatting such noise and spam in social tagging. We classify the state-of-the-art approaches into a few categories and study representative examples in each. We also qualitatively compare and contrast them and outline open issues for future research.

  • Files
  • Details
  • Metrics
Type
research article
DOI
10.1109/MSP.2011.942345
Web of Science ID

WOS:000300511200012

Author(s)
Ivanov, Ivan  
Vajda, Péter  
Lee, Jong Seok  
Ebrahimi, Touradj  
Date Issued

2012

Published in
IEEE Signal Processing Magazine
Volume

29

Issue

2

Start page

98

End page

107

Subjects

social tagging

•

spam combatting

•

trust modeling

Note

Special Issue on Signal and Information Processing for Social Learning and Networking

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
GR-EB  
Available on Infoscience
July 27, 2011
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/69769
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés