How can content providers benefit from ML? Let’s look at how niche content providers can benefit from data-driven strategies to compete in a highly competitive
A good content recommendation system is key for any content provider. Machine Learning video recommendations provide a unique opportunity for broadcasters, Pay-TV operators, TV Networks, and any content distributor to increase engagement and reduce churn through content personalization.
Currently, most recommendation systems operate using explicit information provided by the user about their preferences (for example, by scoring previously watched content) using a technique known as collaborative filtering.
Personalisation is currently a trendy topic and is recognised as one of the key means to improve engagement and reduce churn for video service providers.