Inferring situation-based interests for mobile users: a case based reasoning approach
Proceedings of the 2011 ACM Symposium on Applied Computing
An open service platform at network edge
APNOMS'06 Proceedings of the 9th Asia-Pacific international conference on Network Operations and Management: management of Convergence Networks and Services
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Unlike desktop users, mobile users are a new and more demanding breed. Technology provided for the first group is often found lacking for the later. Personalization is such an example. 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 limited to a fix place and to a given time period, factors such as time and current experience becomes increasingly important for him. His context is now a function of time and experience and the goal of personalization is to match the local services to this context. 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.