Privacy in e-commerce: examining user scenarios and privacy preferences
Proceedings of the 1st ACM conference on Electronic commerce
Recommender systems in e-commerce
Proceedings of the 1st ACM conference on Electronic commerce
E-Commerce Recommendation Applications
Data Mining and Knowledge Discovery
A Privacy-Protecting Business-Analytics Service for On-Line Transactions
International Journal of Electronic Commerce
Lattice Based Privacy Negotiation Rule Generation for Context-Aware Service
UIC '09 Proceedings of the 6th International Conference on Ubiquitous Intelligence and Computing
Spontaneous privacy policy negotiations in pervasive environments
OTM'07 Proceedings of the 2007 OTM Confederated international conference on On the move to meaningful internet systems - Volume Part II
Modeling and negotiating service quality
Service research challenges and solutions for the future internet
A Galois lattice approach to a context-aware privacy negotiation service
Expert Systems with Applications: An International Journal
Twelve theses on reactive rules for the web
EDBT'06 Proceedings of the 2006 international conference on Current Trends in Database Technology
More than modelling and hiding: towards a comprehensive view of Web mining and privacy
Data Mining and Knowledge Discovery
Privacy consensus in anonymization systems via game theory
DBSec'12 Proceedings of the 26th Annual IFIP WG 11.3 conference on Data and Applications Security and Privacy
Guide to measuring privacy concern: Review of survey and observational instruments
International Journal of Human-Computer Studies
Hi-index | 0.00 |
This paper examines how service providers may resolve the trade-off between their personalization efforts and users’ individual privacy concerns. We analyze how negotiation techniques can lead to efficient contracts and how they can be integrated into existing technologies to overcome the shortcomings of static privacy policies. The analysis includes the identification of relevant and negotiable privacy dimensions for different usage domains. Negotiations in multi-channel retailing are examined as a detailed example. Based on a formalization of the user’s privacy revelation problem, we model the negotiation process as a Bayesian game where the service provider faces different types of users. Finally an extension to P3P is proposed that allows a simple expression and implementation of negotiation processes. Support for this extension has been integrated in the Mozilla browser.