Development and validation of methods that reduce the complexity for users and content providers by personalisation algorithms, social networks and user context

01 October 2007 → 30 September 2011
Regional and community funding: Special Research Fund, Research Foundation - Flanders (FWO)
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
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, …