Adobe Inc.
Dynamic customization of structured interactive content on an interactive computing system

Abstract:

Various embodiments describe techniques for dynamically customizing structured interactive content for a particular user within a session of an interactive computing environment. Machine-learning techniques are used to establish a behavioral class of each individual user based on user interactions with a diagnostic set of interactive content items during the session. The identified behavioral class is used to customize interactive content presented later during the session using various machine-learning techniques. In some embodiments, the user progress during the session is determined based on user interactions with the customized interactive content, and a content customization is performed if the user progress is below a threshold value.