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. 18, 2022

Filed:

Jun. 15, 2020
Applicant:

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

Inventors:

Kexin Xie, San Mateo, CA (US);

Gokhan Cagrici, Gilroy, CA (US);

Daniel Keith Wilson, San Francisco, CA (US);

Shrestha Basu Mallick, San Francisco, CA (US);

Jonathan Daniel Showers Belkowitz, Brooklyn, NY (US);

Jason Lestina, San Francisco, CA (US);

James Brewer, Indianapolis, IN (US);

Daniel Louis Gasperut, Indianapolis, IN (US);

Jeffery Allen Zickgraf, Indianapolis, IN (US);

Greg Lyman, Jacksonville, IL (US);

Michael Ronald Brewer, Somers, MT (US);

Evan Black, Carmel, IN (US);

Austin Rauschuber, Hamden, CT (US);

Victoria Schultz, Indianapolis, IN (US);

Matthew David Trepina, Westfield, IN (US);

Peter Stadlinger, San Francisco, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/166 (2020.01); G06N 20/00 (2019.01); G06F 40/216 (2020.01); H04L 51/52 (2022.01);
U.S. Cl.
CPC ...
G06F 40/166 (2020.01); G06F 40/216 (2020.01); G06N 20/00 (2019.01); H04L 51/52 (2022.05);
Abstract

Methods, systems, and devices supporting data processing are described. In some systems, a data processing platform may support communication message analysis using machine learning. For example, a system may receive a set of communication messages (e.g., social media messages) and perform a machine learning process on the message contents and message interaction data to train a machine learned model. The system may further receive a subject line for a communication message for analysis, input the subject line into the machine learned model, and receive, as an output of the machine learned model, an engagement score based on the subject line. The engagement score may indicate an estimated probability that a user receiving the communication message opens the communication message (e.g., based on the subject line). A user—or the system—may modify the subject line based on the analysis to improve the engagement score.


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