.png){kind=icon}
.png){kind=icon}
Return
Dynamic context-aware personalisation in a pervasive environment
.png){kind=icon}
PRE
AI
DOI：10.1016/j.pmcj.2012.11.002.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
In the development of ubiquitous and pervasive systems, it is understood that mechanisms are required to take adequate account of user preferences. This paper presents several key challenges for personalisation in pervasive environments and introduces the Daidalos solution developed as part of a European research project, Daidalos. The Daidalos personalisation system architecture goes beyond customary simplistic preference management to provide two aspects of dynamicity: first in the establishment of user preferences, where learning mechanisms are used to refine and update preferences when the need arises; second during the application of preferences whenever the context of the user changes. The paper discusses how this system meets the outlined challenges and details how the system has been evaluated. (C) 2012 Elsevier B.V. All rights reserved.
Keywords:
Context
Learning
Personalisation
Preferences
Journal
IF:
3.5
Papers:
1.5K
Citations:
2.2K