Abstract: Devices, systems, and methods for machine learning-based micro-category generation may include a method including identifying, for a respective cluster of content titles or items, a top-K most representative group of the content titles or items; generating, by a machine learning model, based on a first input prompt, the common theme of the top-K most representative group; generating, by the machine learning model, based on the second input prompt and filtering, a group of content titles or items matching the common theme; generating, by the machine learning model, based on a third input prompt, a name for the group of content titles or items matching the common theme; and presenting the group of content titles or items matching the common theme and the name for the group of content titles or items matching the common theme via a user interface of a streaming media application.

Abstract: Devices and methods are provided for using an interactive media to select content based on a user emotion. The device may receive user data associated with presentation of first content at a first time. The device may determine, based on the user data, a first emotion state of a user. The device may determine a target emotion state for the user at a second time. The device may determine a difference between the first emotion state and the target emotion state. The device may determine, based on the difference, a function associated with content determination. The device may determine, based on the function, second content for presentation to the user.