Be the first to like this
In a digital economy moving more towards personalization, consumers expect recommendation services to work seamlessly and intelligently. Publishers and distributors of video are being judged not only on the quality of their content, but also on their user experience. This has resulted in a shift toward personalized recommendation engines to increase engagement and improve retention. Beyond the user interface, the quality of the experience is largely influenced by the ability to present the viewer with the most relevant content in real time. IRIS.TV Chief Data Scientist Dr. Thomas Sullivan and VP of Engineering Joel Spitalnik explore these topics before the LA Machine Learning Group.
Watch the talk here http://www.iris.tv/iris-tv-industry-research-reports/iris-tv-talks-future-of-personalization-la-machine-learning-group/