@inproceedings{Mohomed2004,
title = {Community-Driven Adaptation: Automatic Content Adaptation in Pervasive Environments},
address = {English Lake District, UK},
author = {Iqbal Mohomed and Alvin Chin and Jim C. Cai and Eyal d. de Lara},
booktitle = {6th IEEE Workshop on Mobile Computing Systems and Applications (WMCSA)},
url = {http://www.cs.toronto.edu/~nernst/papers/mohomed-cda2004a.pdf},
year = {2004},
description = {sdasda},
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.},
comment = {Interesting proposal: use communities (groups of users with similar demands and interests) to tell the system what to adapt and how. The evaluation is a little suspect though. We are pondering the idea of community driven UI formation.}, priority = {0}, citeulike-article-id = {121800},
keywords = {adaptation community mobile social }
}
::