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.
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