Applying machine learning techniques to improve useracceptance on ubiquitous environment

CAiSE Doctoral Consortium 2011.

计算机科学;

Djallel Bouneffouf

Others  :  http://ceur-ws.org/Vol-731/10.pdf
PID  :  42738

学科分类：计算机科学（综合）

来源: CEUR

【 摘 要 】

Ubiquitous information access becomes more and more important nowadays and research is aimed at making it adapted to users. Our workconsists in applying machine learning techniques in order to adapt theinformation access provided by ubiquitous systems to users when the systemonly knows the user social group, without knowing anything about the user’sinterest. The adaptation procedures associate actions to perceived situations ofthe user. Associations are based on feedback given by the user as a reaction tothe behavior of the system. Our method brings a solution to some of theproblems concerning the acceptance of the system by users when applyingmachine learning techniques to systems at the beginning of the interactionbetween the system and the user.