Real Time Recommender Systems

  • Real time recommendation algorithms
  • Content-based matching of user profiles and content
  • Hybrid content-based / collaborative filtering solutions
Research projects: 
  • iMinds Streamstore (real time news recommendation): Stream Store aims to provide the end user with the media content they want in a hyper-personalized way. To this end, Stream Store will be able to analyze an individual's personal situation at any moment and, from the massive amount of data available, select the right information and deliver it via the chosen medium, in the right media format and at the ideal moment.
Tools and Valorisation: 
  • News recommendation app

Key Publications: