US 12,444,003 B2
Systems, media, and methods for automated response to queries made by interactive electronic chat
Andrew Thomas Busey, Austin, TX (US); Anthony Dan Chen, Austin, TX (US); Isao Uchida Jonas, Austin, TX (US); Douglas James Daniels, Jr., Austin, TX (US); and Benjamin Edward Lamm, Dallas, TX (US)
Assigned to LIVEPERSON, INC., New York, NY (US)
Filed by LIVEPERSON, INC., New York, NY (US)
Filed on Jul. 17, 2024, as Appl. No. 18/774,981.
Application 18/774,981 is a continuation of application No. 18/206,714, filed on Jun. 7, 2023, granted, now 12,067,631.
Application 18/206,714 is a continuation of application No. 15/691,626, filed on Aug. 30, 2017, granted, now 11,710,194, issued on Jul. 25, 2023.
Application 15/691,626 is a continuation of application No. 15/582,209, filed on Apr. 28, 2017, granted, now 9,785,715, issued on Oct. 10, 2017.
Claims priority of provisional application 62/329,582, filed on Apr. 29, 2016.
Prior Publication US 2025/0086730 A1, Mar. 13, 2025
Int. Cl. G06Q 50/00 (2024.01); G06N 5/01 (2023.01); G06N 5/02 (2023.01); G06N 20/00 (2019.01)
CPC G06Q 50/01 (2013.01) [G06N 5/01 (2023.01); G06N 5/02 (2013.01); G06N 20/00 (2019.01)] 17 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
receiving, by a computing device, a natural language input, wherein the natural language input is associated with a device;
preprocessing the natural language input based on a relevance value of one or more substrings of the natural language input;
determining that the preprocessed natural language input includes a query that can be resolved by a machine-learning model;
executing the machine-learning model using the preprocessed natural language input, wherein the machine-learning model identifies one or more responses that are likely to resolve the query;
selecting a particular response from the one or more responses;
defining, by the computing device, a narrative flow using a set of strings derived from substrings of a set natural language inputs and substrings of the particular response generated by the machine-learning model; and
facilitating a transmission including the narrative flow and the particular response as a response to the natural language input.