Dynamic Profiles for Voting Advice Applications

Luis Terán (1979) received the BSc degree in electronics and telecommunications from Escuela Politécnica Nacional (EPN), Quito, Ecuador, in 2004, the MSc degree in communication systems from the Federal Institute of Technology (EPFL), Lausanne, Switzerland, in 2009, and the PhD and habilitation degrees in computer science from the University of Fribourg. He is currently working as a senior researcher in cognitive computing at the Human-IST Institute, University of Fribourg, Switzerland, and as an academic guest in the Department of Political Science at the University of Zurich. He also has been appointed full professor at Universidad de Las Fuerzas Armadas (ESPE), Ecuador. His research interests include eGovernment, eParticipation, eCollaboration, eDemocracy, eElection, eVoting, eCommunities, recommender systems, and fuzzy classification. He is currently a board member for the IEEE e-Government Special Technical Community, the program chair and main organizer for the International Conference on eDemocracy and eGovernment (ICEDEG), an editorial board member at the Cooperative Perspective Journal, a guest editor at the Transactions on Emerging Topics in Computing Journal, and a distinguished exhibitor at IEEE Ecuador Section.

“This is a well-written book that provides lot of necessary insights to readers. The methods and techniques used to implement VAAs will continue to evolve and improve. In this context, I encourage the author to think about the next edition of this book.” (Varadraj Gurupur, Computing Reviews, August 21, 2020)

• Part I: Motivation and Objectives.- Part II: Background.- Part III: Conceptual Framework.- Part IV: Implementation and Evaluation.- Part V: Conclusions.