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Constraint-Sensitive Privacy Management for Personalized Web-Based Systems

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User Modeling 2005 (UM 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3538))

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Abstract

This research aims at reconciling web personalization with privacy constraints imposed by legal restrictions and by users’ privacy preferences. We propose a software product line architecture approach, where our privacyenabling user modeling architecture can dynamically select personalization methods that satisfy current privacy constraints to provide personalization services. A feasibility study is being carried out with the support of an existing user modeling server and a software architecture based development environment.

This research has been supported through NSF grant IIS 0308277. I would like to thank Alfred Kobsa, André van der Hoek and Eric Dashofy for their help in preparing this paper.

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References

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Author information

Authors and Affiliations

  1. Donald Bren School of Information and Computer Sciences, University of California, Irvine, U.S.A

    Yang Wang

Authors
  1. Yang Wang
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Editor information

Editors and Affiliations

  1. Dipartimento di Informatica, UniversitĂ  di Torino, Corso Svizzera 185, 10149, Torino, Italy

    Liliana Ardissono

  2. The SCRE Centre, University of Glasgow, 11 Eldon Street, P.O. Box, G3 6NH, Glasgow, United Kingdom

    Paul Brna

  3. Intelligent Computer Tutoring Group, Department of Computer Science and Software Engineering, University of Canterbury, Private Bag 4800, P.O. Box, Christchurch, New Zealand

    Antonija Mitrovic

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© 2005 Springer-Verlag Berlin Heidelberg

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Wang, Y. (2005). Constraint-Sensitive Privacy Management for Personalized Web-Based Systems. In: Ardissono, L., Brna, P., Mitrovic, A. (eds) User Modeling 2005. UM 2005. Lecture Notes in Computer Science(), vol 3538. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11527886_77

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  • DOI: https://doi.org/10.1007/11527886_77

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-27885-6

  • Online ISBN: 978-3-540-31878-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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