TY - GEN
T1 - Respecting users' individual privacy constraints in web personalization
AU - Wang, Yang
AU - Kobsa, Alfred
PY - 2007
Y1 - 2007
N2 - Web personalization has demonstrated to be advantageous for both online customers and vendors. However, its benefits may be severely counteracted by privacy constraints. Personalized systems need to take users' privacy concerns into account, as well as privacy laws and industry self-regulation that may be in effect. In this paper, we first discuss how these constraints may affect web-based personalized systems. We then explain in what way current approaches to this problem fall short of their aims, specifically regarding the need to tailor privacy to the constraints of each individual user. We present a dynamic privacy-enhancing user modeling framework as a superior alternative, which is based on a software product line architecture. Our system dynamically selects personalization methods during runtime that respect users' current privacy concerns as well as the privacy laws and regulations that apply to them.
AB - Web personalization has demonstrated to be advantageous for both online customers and vendors. However, its benefits may be severely counteracted by privacy constraints. Personalized systems need to take users' privacy concerns into account, as well as privacy laws and industry self-regulation that may be in effect. In this paper, we first discuss how these constraints may affect web-based personalized systems. We then explain in what way current approaches to this problem fall short of their aims, specifically regarding the need to tailor privacy to the constraints of each individual user. We present a dynamic privacy-enhancing user modeling framework as a superior alternative, which is based on a software product line architecture. Our system dynamically selects personalization methods during runtime that respect users' current privacy concerns as well as the privacy laws and regulations that apply to them.
UR - http://www.scopus.com/inward/record.url?scp=37249048008&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=37249048008&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-73078-1_19
DO - 10.1007/978-3-540-73078-1_19
M3 - Conference contribution
AN - SCOPUS:37249048008
SN - 9783540730774
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 157
EP - 166
BT - User Modeling 2007 - 11th International Conference, UM 2007, Proceedings
PB - Springer Verlag
T2 - 11th International on User Modeling Conference, UM 2007
Y2 - 25 June 2007 through 29 June 2007
ER -