Code
3F010207
Duration
01 October 2007 → 30 September 2011
Funding
Regional and community funding: Special Research Fund, Research Foundation - Flanders (FWO)
Promotor
Fellow
Research disciplines
-
Natural sciences
- Applied mathematics in specific fields
- Artificial intelligence
-
Social sciences
- Cognitive science and intelligent systems
-
Engineering and technology
- Computer hardware
- Computer theory
- Scientific computing
- Other computer engineering, information technology and mathematical engineering
Keywords
personalisation
algorithms
social networks
user context
Project description
The enormous offer of audio-visual content on the internet and TV broadcast networks requires new instruments to assist people in selecting the appropriete content. This study handles personalisation systems that recommend audio-visual content according to the individual user profile. Extra dimensions to refine the recommendations are: the time of the day, location, activity of the user, popularity of the content, …