This is the story of a fictitious company called “Bingewatch”. Bingewatch provides the most complete library of movies on demand for their customers.

Due to the increasingly number of competitors in the market of VoD offerings, Bingewatch faces challenges in maintaining customer engagement and preventing customer churn. A recommendation engine should help them to provide a better personalized experience of movies to watch based on their individual interests.

In session the audience will learn the essential steps of how to build a recommendation engine using Amazon Personalize. Along a real-live scenario, the audience will learn about the key concepts of Amazon Personalize like Dataset-Groups, Datasets, recommender recipes, event-tracker and campaigns. After this session, the audience will know how to use Amazon Personalize for building their very own recommendation engines.