Improving the Mobile Phone Habitat - Learning Changes in Users Profiles
Mobile phones are becoming a popular platform for a range of applications. However, due to size restrictions, the interfaces of these applications can be difficult to use. Customising an interface for a particular user offers the potential to improve an interface's efficiency. In this paper, we propose customising a mobile phone's Profile application. We apply a machine learning approach to discover concepts that describe a user's profile-activations in terms of their scheduled appointments. We...[Show more]
|Collections||ANU Research Publications|
|Source:||AI 2005: Advances in Artificial Intelligence. 18th Australian Joint Conference on Artificial Intelligence, Proceedings|
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