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Privacy-preserving enhanced collaborative tagging

Autor
Parra-Arnau, J.; Perego, A.; Ferrari, E.; Forne, J.; Rebollo-Monedero, D.
Tipus d'activitat
Article en revista
Revista
IEEE transactions on knowledge and data engineering
Data de publicació
2014-01-01
Volum
26
Número
1
Pàgina inicial
180
Pàgina final
193
DOI
https://doi.org/10.1109/TKDE.2012.248 Obrir en finestra nova
Projecte finançador
CONSEQUENCE
Repositori
http://hdl.handle.net/2117/21533 Obrir en finestra nova
URL
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6399467&tag=1 Obrir en finestra nova
Resum
Collaborative tagging is one of the most popular services available online, and it allows end user to loosely classify either online or offline resources based on their feedback, expressed in the form of free-text labels (i.e., tags). Although tags are not per se sensitive information, the wide use of collaborative tagging services increases the risk of cross referencing, thereby seriously compromising user privacy. In this paper, we make a first contribution in this direction by showing how a s...
Citació
Parra-Arnau, J. [et al.]. Privacy-preserving enhanced collaborative tagging. "IEEE transactions on knowledge and data engineering", 01 Gener 2014, vol. 26, núm. 1, p. 180-193.
Paraules clau
Collaboration, Data privacy, Entropy, Privacy, Semantics, Tag clouds
Grup de recerca
SISCOM - Smart Services for Information Systems and Communication Networks

Participants