AI Content Discovery

AI Content Discovery ranks every subscriber's home screen using collaborative filtering and content similarity models, learning from what similar viewers watch and how titles actually relate to each other rather than relying on static popularity or catalog-editor tags. A watch-next model queues up what a subscriber is likely to want the moment they finish a title.

The same discovery layer powers search, with semantic ranking and autocomplete so a query returns relevant results even when it doesn't exactly match a title's name, and trending search surfaces what other subscribers are looking for right now. Discovery stops being a separate feature and becomes the connective layer between the home screen, search, and the catalog.