Using agents to personalize the Web
Proceedings of the 2nd international conference on Intelligent user interfaces
Proceedings of the ACM SIGCHI Conference on Human factors in computing systems
Seven good reasons for mobile agents
Communications of the ACM
Communications of the ACM
Intermediaries personalize information streams
Communications of the ACM
A broader approach to personalization
Communications of the ACM
Personalizing web sites for mobile users
Proceedings of the 10th international conference on World Wide Web
Data Management for Mobile Computing
Data Management for Mobile Computing
Adaptive web navigation for wireless devices
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Dynamically Personalizing Search Results for Mobile Users
FQAS '09 Proceedings of the 8th International Conference on Flexible Query Answering Systems
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
Exploration / exploitation trade-off in mobile context-aware recommender systems
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
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Wireless users rarely (if ever) benefit from Internet information services thus requiring new type of services and new ways for structuring the needed content. Personalization appears to be the most appropriate solution to this need. It comes into aid by creating personalized portals that directly tones down factors that break up the functionally of the Internet/wireless services when viewed through wireless devices; factors like the click count, user response time and the size of the wireless network traffic. In this paper we present a flexible personalization system tuned for the wireless Internet taking into consideration not only the user profile but the device profile as well. The system utilizes the various characteristics of mobile agents to support flexibility, scalability, modularity and user mobility. We present appropriate, to the wireless environment, metrics and our initial performance evaluation indicates improvement ranging from 33% to, for certain metrics, 60.