Towards an AI Infused System for Personalization of Video Content
Published:
Over the years, the consumption of OTT content has increased leaps and bounds. Everyone can access a wide variety of previously inaccessible content from all over the world. However, this poses a difficult challenge of figuring out what content is suitable for children and family viewing. Different countries have different rating systems that reflect their own cultural and social fabric. It is very easy to see how the ratings from one country will not be very meaningful for other countries. In this work, we attempt to handle this problem by building an AI-based extensible framework.
