Millions of users now look for video entertainment not only on their favorite TV channels or cinemas, but also online – an example of this paradigm shift is the YouTube live transmission of a U2 band concert. High-quality entertainment video shows are now created by professionals, independent producers and amateurs that publish their media online and free of charge. Our goal is to devise a platform to integrate media from different sources and end-users.
Our lab goal in this project is to research new algorithms to model user preferences based on their comments,tags and usage history and compute heterogeneous media recommendation for individuals and groups of users. These algorithms are intended to integrate a global platform to where traditional TV services are merged with Web TV services.