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. 14, 2025

Filed:

Jun. 03, 2024
Applicant:

Liveperson, Inc., New York, NY (US);

Inventors:

Ofer Ron, Tel Aviv, IL;

Eran Vanounou, Tel Aviv, IL;

Gali Konky, Tel Aviv, IL;

Seetvun Amir, Tel Aviv, IL;

Assignee:

LIVEPERSON, INC., New York, NY (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 5/04 (2023.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01); G06N 20/00 (2019.01); G06Q 10/10 (2023.01); G06Q 10/107 (2023.01); H04L 51/02 (2022.01); H04L 51/216 (2022.01); H04L 67/02 (2022.01); H04L 67/63 (2022.01); G06N 3/04 (2023.01); G06N 7/01 (2023.01); G06N 20/10 (2019.01);
U.S. Cl.
CPC ...
G06N 5/04 (2013.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01); G06Q 10/10 (2013.01); G06Q 10/107 (2013.01); H04L 51/02 (2013.01); H04L 51/216 (2022.05); H04L 67/02 (2013.01); H04L 67/63 (2022.05); G06N 3/04 (2013.01); G06N 7/01 (2023.01); G06N 20/10 (2019.01);
Abstract

Systems and methods can be provided for predicting responses during communication sessions with network devices. In some implementations, systems and methods can facilitate predicting responses using machine learning techniques. Messages received through a platform can be stored in a repository. A machine learning model may be trained using the stored messages. When a terminal device is communicating with a network device in a communication session, the messages exchanged in the communication session and the machine learning model can be used to predict future responses in real-time. The predicted future responses can be presented at the terminal device. A predicted response can be selected at the terminal device. Upon selection, the selected predicted response is transmitted to the network device during the communication session.


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