Every minute of every day, over 48 hours of new video content is uploaded to YouTube alone. Screenius is dedicated to the notion that new tools beyond search are needed to help the consumer navigate our brave new world of infinite content choice. Search feels like work, but we believe discovering and consuming video should be easy, fun, personalized and social.
Screenius aggregates and filters content according to the consumer's interests to cut down on the time and labor needed to find video s/he enjoys and wants to share. Screenius’ patent-pending personalization engine learns the consumer's taste simply through usage. As a result, the Screenius recommendation engine is continuously improving, and the user experience keeps getting better. Screenius’ proprietary learning algorithm does not rely on collaborative filtering technology like other Web-based recommendation engines. This means that:
our recommendations are completely personalized and not the result of a popularity contest by a crowd
privacy is completely preserved – the consumer's viewing history stays on his/her personal device