Development and validation of methods that reduce the complexity for users and content providers by personalisation algorithms, social networks and user context Ghent University
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, U+2026