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:
May. 02, 2023

Filed:

Jun. 30, 2021
Applicant:

Verizon Patent and Licensing Inc., Basking Ridge, NJ (US);

Inventors:

Eric Bax, Sierra Madre, CA (US);

Kimberly Williams, Burbank, CA (US);

John Donald, Los Angeles, CA (US);

Lisa Giaffo, Pasadena, CA (US);

Tanisha Sharma, Los Angeles, CA (US);

Nikki Thompson, Gardena, CA (US);

Melissa Gerber, Los Angeles, CA (US);

Assignee:

Verizon Patent and Licensing Inc., Basking Ridge, NJ (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04L 12/58 (2006.01); H04L 29/08 (2006.01); G06N 20/00 (2019.01); H04L 29/06 (2006.01); H04L 15/16 (2006.01); G06N 3/08 (2006.01); G06F 15/16 (2006.01); G06F 21/31 (2013.01); H04L 51/043 (2022.01); H04L 51/18 (2022.01); H04L 51/52 (2022.01); H04L 51/212 (2022.01); H04L 67/50 (2022.01);
U.S. Cl.
CPC ...
H04L 51/043 (2013.01); G06N 20/00 (2019.01); H04L 51/18 (2013.01); H04L 51/212 (2022.05); H04L 51/52 (2022.05); H04L 67/535 (2022.05);
Abstract

Disclosed are systems and methods for initiating communication between users of a user group based on machine learning techniques. The disclosed systems and methods provide a novel framework for automating communication scheduling and communication initiation based on user communication objectives and machine learning techniques. The disclosed framework operates by leveraging available user provided communication parameters, user provided objectives, and various real-time data associated with the users, and using the aforementioned data as inputs for machine learning models, in order to schedule communication between the users, automatically initiate communication between the users, or transmit communication notifications to the users.


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