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. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Wang, Y. (2005). Constraint-sensitive privacy management for personalized web-based systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3538 LNAI, pp. 524–526). Springer Verlag. https://doi.org/10.1007/11527886_77
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