How to increase the chance of a movie that lacks sufficient information to appear in the right recommendation feed of the right user? The answer may lay in “stylistic” visual features that can be extracted automatically and utilized effectively to give personalized recommendations based on state-of-the-art machine learning algorithms!
 

Online games where participants must make complicated decisions have become a way of explaining complex issues, such as climate change or immigration. But are online games in fact the right medium to increase people’s engagement and interest in crucial political and societal issues? Can gaming assist people in breaking out of their filter bubbles? Yes, says Jonathan Geffen, our PhD candidate, in an interview with the Swedish Global Bar Magazine.
 

There is a vacancy for a PhD position in Work Package 2 User Modelling, Personalisation & Engagement at the centre. The position is for a fixed-term period of 3 years.

 

Deep Learning to Encourage Citizen Involvement in Local Journalism by Bjørnar Tessem et al. & Considering Temporal Aspects in Recommender Systems: A Survey by Prof. Christoph Trattner et al. are the centre's latest research publications. 

 

The Centre has welcomed three new team members last month: PhD candidate Khadiga Seddik, and Research Assistants Ole Holgernes and Odin Crisander Stokkeland.