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:
Jul. 04, 2023

Filed:

Jan. 29, 2021
Applicant:

Salesforce.com, Inc., San Francisco, CA (US);

Inventors:

Jessica Lundin, Seattle, WA (US);

Owen Winne Schoppe, Orinda, CA (US);

Xing Han, Austin, TX (US);

Michael Reynolds Sollami, Cambridge, MA (US);

Brian J. Lonsdorf, Moss Beach, CA (US);

Alan Martin Ross, San Francisco, CA (US);

David J. Woodward, Bozeman, MT (US);

Sonke Rohde, San Francisco, CA (US);

Assignee:

Salesforce, Inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/169 (2020.01); G06F 40/103 (2020.01); G06N 3/049 (2023.01); G06T 11/60 (2006.01); G06F 40/284 (2020.01);
U.S. Cl.
CPC ...
G06F 40/103 (2020.01); G06F 40/284 (2020.01); G06N 3/049 (2013.01); G06T 11/60 (2013.01);
Abstract

An online system generates a set of content item variations for a reference content item that include different styles of text for the content item. The different styles of text are generated by applying machine-learned style transfer models, for example, neural network based models to reference text of the reference content item. The text variations retain the textual content of the reference text but are synthesized with different styles. The online system can provide the content item variations to users on an online experimental platform to collect user interaction information that may indicate how users respond to different styles of text. The online system or the content providers can effectively target users with content items that include the style of text the users respond to based on the collected information.


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