Project

Dynamically generated personalized and optimal hybrid recommender systems

Code
178IR0811
Duration
01 October 2010 → 05 January 2016
Funding
Regional and community funding: IWT/VLAIO
Promotor
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.