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IPC
2007
IEEE

Mining User Models for Effective Adaptation of Context-Aware Applications

13 years 10 months ago
Mining User Models for Effective Adaptation of Context-Aware Applications
Current context-aware adaptation techniques are limited in their support for user personalisation. Complex codebases, a reliance on developer modification and an inability to automatically learn from user interactions hinder their use for tailoring behaviour to individuals. To address these problems we have devised a personalised, dynamic, run-time approach to adaptation. The approach provides techniques for selecting the relevant information from a user’s behaviour history, for mining usage patterns, and for generating, prioritising, and selecting adaptation behaviour. Our evaluation study shows that the proposed mining approach is more accurate than rule-based and neural network methods when compared to actual user choices.
Shiu Lun Tsang, Siobhán Clarke
Added 03 Jun 2010
Updated 03 Jun 2010
Type Conference
Year 2007
Where IPC
Authors Shiu Lun Tsang, Siobhán Clarke
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