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A Software Product Line Approach for Handling
Privacy Constraints in Web Personalization

Student: Yang Wang


Advisor: Alfred Kobsa, UCI/ISR


Abstract: This research aims at reconciling web personalization with privacy constraints imposed by legal restrictions and by users' privacy preferences. Inspired by the ability of software product lines to support software variability, we propose a user modeling architecture based thereon that supports architectural level configuration management to dynamically select personalization methods that satisfy current privacy constraints.


Bio: Yang Wang is an Informatics PhD student in the Donald Bren School of Information and Computer Sciences at UC-Irvine. His research interests include Human-Computer-Interaction, Software Engineering and E-Commerce. Recently he has been working on privacy-enhanced web-based personalization via a dynamic software architecture approach.