In this paper, we demonstrate how a preference elicitation technique can be applied in the domain of user privacy. A structure known as a Conditional Outcome Preference Network (COP-network) is used to model preferences and estimate utilities for various private data collection practices. These utilities can then be used by an autonomous software agent to advise an Internet user on whether or not to interact with a website, or even to facilitate or conduct negotiations of a mutually acceptable privacy policy. Experiments show that preferences and utilities are estimated significantly better than by a previously used technique.Dans cet article, nous montrons comment une technique de demande des pr\ue9f\ue9rences peut \ueatre appliqu\ue9e dan...
People's decisions do not happen in a vacuum; there are multiple factors that may affect them. There...
Existing approaches on Web services privacy dominate solutions from a users’ perspective, giving lit...
A variety of tools have been introduced recently that are designed to help people protect their priv...
We examine the problem of determining a user's value for his/her private information. Web businesses...
Abstract—Making use of the World Wide Web’s numerous services increasingly requires the disclosure o...
This paper suggests a machine learning approach to preference generation in the context of privacy a...
Before an autonomous agent can perform automated negotiation on behalf of a user in an electronic co...
This paper initiates the study of the testable implications of choice data in settings where agents ...
The Internet is shaping our daily lives. On the one hand, social networks like Facebook and Twitter ...
Many service providers require permissions to access privacy-sensitive data that are not necessary f...
As the number of online services powered by personal data is growing, the technology behind those se...
Studies of online social behaviour indicate that users often fail to specify privacy settings that m...
The Platform for Privacy Preferences (P3P) is a W3C framework for web privacy management. It provide...
Growth of the Internet has been accompanied by growth of Internet e-services (e.g. e-commerce, e-hea...
The companies must collect personal data on their customers, in order to make drawing proposals and ...
People's decisions do not happen in a vacuum; there are multiple factors that may affect them. There...
Existing approaches on Web services privacy dominate solutions from a users’ perspective, giving lit...
A variety of tools have been introduced recently that are designed to help people protect their priv...
We examine the problem of determining a user's value for his/her private information. Web businesses...
Abstract—Making use of the World Wide Web’s numerous services increasingly requires the disclosure o...
This paper suggests a machine learning approach to preference generation in the context of privacy a...
Before an autonomous agent can perform automated negotiation on behalf of a user in an electronic co...
This paper initiates the study of the testable implications of choice data in settings where agents ...
The Internet is shaping our daily lives. On the one hand, social networks like Facebook and Twitter ...
Many service providers require permissions to access privacy-sensitive data that are not necessary f...
As the number of online services powered by personal data is growing, the technology behind those se...
Studies of online social behaviour indicate that users often fail to specify privacy settings that m...
The Platform for Privacy Preferences (P3P) is a W3C framework for web privacy management. It provide...
Growth of the Internet has been accompanied by growth of Internet e-services (e.g. e-commerce, e-hea...
The companies must collect personal data on their customers, in order to make drawing proposals and ...
People's decisions do not happen in a vacuum; there are multiple factors that may affect them. There...
Existing approaches on Web services privacy dominate solutions from a users’ perspective, giving lit...
A variety of tools have been introduced recently that are designed to help people protect their priv...