Helping Online Customers Decide through Web Personalization
IEEE Intelligent Systems
'I didn't buy it for myself' privacy and ecommerce personalization
Proceedings of the 2003 ACM workshop on Privacy in the electronic society
'I didn't buy it for myself': privacy and Ecommerce personalization
Designing personalized user experiences in eCommerce
Recommender Systems Research: A Connection-Centric Survey
Journal of Intelligent Information Systems
Business modeling framework for personalisation in mobile business services
QofIS'02/ICQT'02 Proceedings of the 3rd international conference on quality of future internet services and internet charging and QoS technologies 2nd international conference on From QoS provisioning to QoS charging
Design and implementation of a personalized business activity monitoring system
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: applications and services
Predictive client-side profiles for personalized advertising
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
ROAuth: recommendation based open authorization
Proceedings of the Seventh Symposium on Usable Privacy and Security
ITWP'03 Proceedings of the 2003 international conference on Intelligent Techniques for Web Personalization
A literature review and classification of recommender systems research
Expert Systems with Applications: An International Journal
Personalization and privacy: a survey of privacy risks and remedies in personalization-based systems
User Modeling and User-Adapted Interaction
Evaluating recommender systems from the user's perspective: survey of the state of the art
User Modeling and User-Adapted Interaction
iGSLR: personalized geo-social location recommendation: a kernel density estimation approach
Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
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Personalization has been a hot topic for nearly a decade now, and many new products and advanced algorithms have emerged in that time. Several companies now sell tools such as "recommender systems," which take input about users and products and generate recommendations about which products the users will like best. At their best, recommenders can be wonderful tools for users, helping them sort through myriad items they could read, buy, or watch to select those few that are most valuable to them. The other edge of the sword is that recommender systems provide perfect tools for marketers and others to invade users' privacy. The November/December 2001 issue of IEEE Internet Computing presents four articles exploring the ways in which personalization is changing the way we interact with the Internet. The articles examine the current practice, ongoing research, and social implications of personalization.