Adobe, Inc.

Jean Bernard Hishamunda

Sungchul Kim

Atanu Ranjan Sinha

Shiv Kumar Saini

Xiang Chen

Omar Rahman

Goutham Srivatsav Arra

Methods and systems disclosed herein relate generally to systems and methods for using a machine-learning model to predict user-engagement levels of users in response to presentation of future interactive content. A content provider system accesses a machine-learning model, which was trained using a training dataset including previous user-device actions performed by a plurality of users in response to previous interactive content. The content provider system receives user-activity data of a particular user and applies the machine-learning model to the user-activity data, in which the user-activity data includes user-device actions performed by the particular user in response to interactive content. The machine-learning model generates an output including a categorical value that represents a predicted user-engagement level of the particular user in response to a presentation of the future interactive content.

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San Jose, CA, United States of America

Jean Bernard Hishamunda