Code
178IR0811
Duration
01 October 2010 → 05 January 2016
Funding
Regional and community funding: IWT/VLAIO
Promotor
Fellow
Research disciplines
-
Natural sciences
- Applied mathematics in specific fields
- Artificial intelligence
- Computer architecture and networks
- Distributed computing
- Information sciences
- Information systems
- Programming languages
- Scientific computing
- Theoretical computer science
- Visual computing
- Other information and computing sciences
-
Social sciences
- Cognitive science and intelligent systems
Keywords
optimalization
recommender systems
algorithms
Project description
The goal of the project is to research strategies to combine modern recommendation algorithms in a dynamic and personalized way. Doing so will enable the generation of flexible and optimized hybrid recommendation systems tailored towards individual users and applicable in a wide range of domains.