Abstract Privacy-enhancing technologies (PETs), which constitute a wide array of technical
means for protecting users' privacy, have gained considerable momentum in both academia …

Web personalization has demonstrated to be advantageous for both online customers and
vendors. However, its benefits may be severely counter acted by privacy constraints …

We present a classification method for learning an opponent's preferences during a bilateral
multi-issue negotiation. Similar candidate preference relations over the set of offers are …

Data about users is rapidly growing, collected by various online applications and databases.
The ability to share user data across applications can offer benefits to user in terms of …

We present a classification method for learning an opponent's preferences during a bilateral
multi-issue negotiation. Similar candidate preference relations are grouped into classes, and …

Software product line architectures (PLAs) have been widely recognized as a successful
approach in industrial software development for improving productivity, software quality and …

This chapter presents a first-of-its-kind survey that systematically analyzes existing privacy-
enhanced personalization (PEP) solutions and their underlying privacy protection …

We examine the problem of determining a user's value for his/her private information. Web
businesses often offer rewards, such as discounts, free downloads and website …

Web personalization has demonstrated to be advantageous for both online customers and
vendors. However, its benefits may be severely counteracted by privacy constraints …

This paper examines how negotiation techniques can resolve the trade-off between service
providers' personalization efforts and users' individual privacy concerns, how they lead to …