The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 30, 2024

Filed:

May. 17, 2021
Applicant:

Adobe Inc., San Jose, CA (US);

Inventors:

Atanu R. Sinha, Bangalore, IN;

Xiang Chen, San Jose, CA (US);

Sungchul Kim, San Jose, CA (US);

Omar Rahman, San Jose, CA (US);

Jean Bernard Hishamunda, San Jose, CA (US);

Goutham Srivatsav Arra, Dublin, CA (US);

Shiv Kumar Saini, Bangalore, IN;

Assignee:

ADOBE INC., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 3/0484 (2022.01); H04L 67/50 (2022.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 3/0484 (2013.01); H04L 67/535 (2022.05);
Abstract

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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