Solving the Content Discovery Problem: How Automation and Personalization Can Help Publishers…

For any media company that's producing and distributing large volumes of content, highly specific metadata is the foundation that other publisher tools will be built upon. Metadata provides a way of finding, identifying and classifying videos thus making them highly searchable and shareable. Using Deep Learning, Vilynx exposes the multi-level intelligence of video assets to enable publishers more efficient content management. Most recommendation systems rely on the relationships between the content in videos to provide appealing suggestions about which other videos you might also want to see. To solve this, some publishers have resorted to semantic analysis of content as well as basic collaborative filters to power content recommendations.