TV Recommendation Engine

Improved content discovery through intelligent algorithms

Our recommendation technology employs a range of patented, self-learning, artificial intelligence algorithms that have been proven to more accurately match content offerings to individual viewer tastes and preferences in the course of extensive, multi-year consumer testing in four-person households in three European markets.


Personalized recommendations are on the verge of becoming present everywhere: in the living room and on connected devices as a trustworthy and highly relevant tool for individual content discovery. They have become almost required everywhere,  not only due to the emancipation of media consumers who demand instant gratification according to their needs, but also because of the ever more complex offerings of content producers and providers. Our recommendation engine ensures that your customers will always receive the best recommendations available to them.  We have developed expertise in how best to articulate and present recommendations to viewers, taking into account the way the content is being consumed.


Recommendations are a key feature in our consumer-facing DISCOVER TV DIGITAL app.  They provide ideas and inspire viewers to  check out content they might not otherwise have known about.  The app is available for tablets running iOS and Android.


B2B: The Unicorn Project

The Unicorn Project, which we are developing in conjunction with the Google Digital News Initiative, makes use of our recommendation technology to surface videos within a content library that are related and relevant to pieces editors work on, in order to craft a more complete, more holistic view around the stories they tell.


Learn more:  Our Recommendation System



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