Web page design: implications of memory, structure and scent for information retrieval
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A learning agent for wireless news access
Proceedings of the 5th international conference on Intelligent user interfaces
Mining navigation history for recommendation
Proceedings of the 5th international conference on Intelligent user interfaces
Towards adaptive Web sites: conceptual framework and case study
Artificial Intelligence - Special issue on Intelligent internet systems
Evaluating Interface Design Choices on WAP Phones: Navigation and Selection
Personal and Ubiquitous Computing
The Plight of the Navigator: Solving the Navigation Problem for Wireless Portals
AH '02 Proceedings of the Second International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Adaptive web sites: cluster mining and conceptual clustering for index page synthesis
Adaptive web sites: cluster mining and conceptual clustering for index page synthesis
Mobile information access: A study of emerging search behavior on the mobile Internet
ACM Transactions on the Web (TWEB)
Adaptive web navigation for wireless devices
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
UM'03 Proceedings of the 9th international conference on User modeling
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A case study on the effectiveness of recommendations in the mobile internet
Proceedings of the third ACM conference on Recommender systems
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The mobile Internet is a massive opportunity for mobile operators and content providers, but despite significant improvements in handsets, infrastructure, content, and charging models, mobile users are still struggling to access and locate relevant content and services. The core of this so-called content discovery problem is the navigation effort that users must invest in browsing and searching for mobile content. In this paper we describe one successfully deployed solution, which uses personalization technology to profile subscriber interests in order to automatically adapt mobile portals to their learned preferences. We present summary results, from our deployment experiences with more than 40 mobile operators and millions of subscribers around the world, which demonstrate how this solution can have a significant impact on portal usability, subscriber usage, and mobile operator revenues.