Community-Driven Adaptation: Automatic Content Adaptation in Pervasive Environments

Authors

Iqbal Mohomed, Alvin Chin, Jim Chengming Cai and Eyal de Lara

Abstract

Mobile devices are increasingly being used to access Web content but lack the resources for proper presentation to the user. To address this problem, content is typically adapted to be more suitable for a mobile environment. Community-Driven Adaptation (CDA) is a novel approach to automatic content adaptation for mobile devices that adapts content based on feedback from users. CDA groups users into communities based on common characteristics, and assumes that users of the same community have similar adaptation requirements. CDA learns how to adapt content by observing how members of a community alter adapted content to make it more useful to them. Experiments that consider the idealized case, where all users perform the same task, show that CDA can reduce wastage of network bandwidth by up to 90% and requires less user interaction to correct bad adaptation decisions compared with existing approaches to automatic content adaptation.

Published

In Proceedings of the 6th IEEE Workshop on Mobile Computing Systems and Applications (WMCSA), English Lake District, UK, December 2004.

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