Using agents to personalize the Web
Proceedings of the 2nd international conference on Intelligent user interfaces
Siteseer: personalized navigation for the Web
Communications of the ACM
User profiling in personalization applications through rule discovery and validation
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
A system for automatic personalized tracking of scientific literature on the Web
Proceedings of the fourth ACM conference on Digital libraries
Haystack: per-user information environments
Proceedings of the eighth international conference on Information and knowledge management
Intermediaries personalize information streams
Communications of the ACM
Communications of the ACM
Personalizing web sites for mobile users
Proceedings of the 10th international conference on World Wide Web
Personalized pocket directories for mobile devices
Proceedings of the 11th international conference on World Wide Web
Enabling Technology for Personalizing Mobile Services
HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 3 - Volume 3
"ARCHIMIDES": An Intelligent Agent for Adaptive - Personalized Navigation within a WEB Server
HICSS '99 Proceedings of the Thirty-second Annual Hawaii International Conference on System Sciences-Volume 5 - Volume 5
mPERSONA: personalized portals for the wireless user: An agent approach
Mobile Networks and Applications
Adaptive web navigation for wireless devices
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Hybrid-ε-greedy for mobile context-aware recommender system
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
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Mobile clients present a new and more demanding breed of users. Solutions provided for the desktop users are often found inadequate to support this new breed of users. Personalization is such a solution. The moving user differs from the desktop user in that his handheld device is truly personal. It roams with the user and allows him access to info and services at any given time from anywhere. As the moving user is not bound to a fixed place and to a given time period, factors such as time and current experience becomes increasingly important for him. His context and preferences are now a function of time and experience and the goal of personalization is to match the local services to this time-depended preferences. In this paper we exploit the importance of time and experience in personalization for the moving user and present a system that anticipates and compensates the time-dependant shifting of user interests. A prototype system is implemented and our initial evaluation results indicate performance improvements over traditional personalization schemes that range up to 173%.