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Please use this identifier to cite or link to this item: http://hdl.handle.net/2262/16489

Title: Mining user models for effective adaptation of context-aware applications
Other Titles: IEEE International Conference on Intelligent Pervasive Computing, (IPC-07) : 2007
Intelligent Pervasive Computing : 2007
Author: CLARKE, SIOBHAN
Sponsor: Irish Research Council for Science Engineering and Technology
Author's Homepage: http://people.tcd.ie/sclarke
Keywords: context-aware applications
adaptation
personalisation
Issue Date: 2007
Publisher: IEEE
Citation: Shiu Lun Tsang, Siobhán Clarke, Mining user models for effective adaptation of context-aware applications: proceedings of the IEEE International Conference on Intelligent Pervasive Computing, (IPC-07), Intelligent Pervasive Computing -07 : 11-13th Oct, 2007
Abstract: 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.
Description: PUBLISHED
URI: http://www.ieeexplore.ieee.org/iel5/4438370/4438371/04438420.pdf?tp=&isnumber=4438371&arnumber=4438420
http://hdl.handle.net/2262/16489
ISSN: 50424
Appears in Collections:Computer Science (Scholarly Publications)

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