Privacy-enhanced personalization

ABSTRACT

Consumer surveys show that online users value personalized content [5]. At the same time, providing personalization on websites seems quite profitable for web vendors [2, 6-8]. This win-win situation is however marred by privacy concerns since personalizing people's interaction entails gathering considerable amounts of data about them. As numerous recent surveys have consistently demonstrated, computer users are very concerned about their privacy on the Internet. Moreover, the collection of personal data is also subject to legal regulations in many countries and states. Both user concerns and privacy regulations impact frequently-used personalization methods. This workshop will explore the potential of research on "privacy-enhanced personalization," which aims at reconciling the goals and methods of user modeling and personalization with privacy constraints imposed by individual preferences, conventions and laws.

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INDEX TERMS

Primary Classification:
  H. Information Systems
  H.5 INFORMATION INTERFACES AND PRESENTATION (I.7)
      H.5.m Miscellaneous

Additional Classification:
  K. Computing Milieux
  K.4 COMPUTERS AND SOCIETY
      K.4.1 Public Policy Issues
      K.4.4 Electronic Commerce

Keywords:
e-commerce, personal data, personalization, privacy, user modeling, user profiling