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dc.contributor.authorParra Arnau, Javier
dc.contributor.authorPerego, Andrea
dc.contributor.authorFerrari, Elena
dc.contributor.authorForné Muñoz, Jorge
dc.contributor.authorRebollo Monedero, David
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Telemàtica
dc.description.abstractIn the scenario of social bookmarking, a user browsing the Web bookmarks web pages and assigns free-text labels (i.e., tags) to them according to their personal preferences. The benefits of social tagging are clear – tags enhance Web content browsing and search. However, since these tags may be publicly available to any Internet user, a privacy attacker may collect this information and extract an accurate snapshot of users’ interests or user profiles, containing sensitive information, such as health-related information, political preferences, salary or religion. In order to hinder attackers in their efforts to profile users, this report focuses on the practical aspects of capturing user interests from their tagging activity. More accurately, we study how to categorise a collection of tags posted by users in one of the most popular bookmarking services, Delicious (
dc.format.extent23 p.
dc.subjectÀrees temàtiques de la UPC::Informàtica::Sistemes d'informació::Emmagatzematge i recuperació de la informació
dc.subject.lcshInternet searching
dc.subject.lcshWeb search engines
dc.subject.lcshData mining
dc.subject.lcshSocial networks
dc.titleHierarchical categorisation of web tags for Delicious
dc.typeExternal research report
dc.subject.lemacXarxes socials
dc.subject.lemacRecuperació de la informació
dc.contributor.groupUniversitat Politècnica de Catalunya. SERTEL - Serveis Telemàtics
dc.rights.accessOpen Access

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