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:
Oct. 06, 2026

Filed:

Mar. 17, 2022
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Ewa Karweta, New York, NY (US);

Xindeling Pan, San Francisco, CA (US);

Aditya Patel, Brookline, MA (US);

Jennifer M. Hatfield, San Francisco, CA (US);

Christopher F. Ackermann, Fairfax, VA (US);

Daniel Laughlin, Clayton, IN (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 7/48 (2006.01); G06F 30/12 (2020.01); G06F 30/27 (2020.01); G06F 111/02 (2020.01);
U.S. Cl.
CPC ...
G06F 30/27 (2020.01); G06F 30/12 (2020.01); G06F 2111/02 (2020.01);
Abstract

A computer-implemented process for facilitating generation of a user interface design. The computer-implemented method provides for one or more processors to identify one or more elements added to a screen design by a first designer. The one or more processors predict one or more next elements of the screen design, based on the identified one or more elements added to the screen design and a learning model trained by machine learning techniques using a convolutional neural network. The one or more processors present the one or more next design elements as a recommendation to the first designer. The one or more processors determine a selection decision made by the first designer of the one or more next elements from the recommendation, and the one or more processors update learning model, based on selection decisions made by the first designer.


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