Personal data are often collected and processed in a decentralized fashion, within different
contexts. For instance, with the emergence of distributed applications, several providers are …

Recommendation systems and content-filtering approaches based on annotations and
ratings essentially rely on users expressing their preferences and interests through their …

Personalized information systems are information-filtering systems that endeavor to tailor
information-exchange functionality to the specific interests of their users. The ability of these …

We address the problem of query profile obfuscation by means of partial query exchanges
between two users, in order for their profiles of interest to appear distorted to the information …

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 …

Personalized information systems are information-filtering systems that endeavor to tailor
information-exchange functionality to the specific interests of their users. The ability of these …

Recommendation systems are information-filtering systems that tailor information to users on
the basis of knowledge about their preferences. The ability of these systems to profile users …

Recommendation systems are information-filtering systems that help users deal with
information overload. Unfortunately, current recommendation systems prompt serious …

Location-based services (LBSs) flood mobile phones nowadays, but their use poses an
evident privacy risk. The locations accompanying the LBS queries can be exploited by the …

Leveraging on the principle of data minimization, we propose tag suppression, a privacy-
enhancing technique for the semantic Web. In our approach, users tag resources on the …