US 12,033,044 B2
Interactive and dynamic mapping engine (IDME)
Pei-En Pamela Hsu, Berkeley Heights, NJ (US); Eshrat Huda, Hillsborough, NJ (US); and Mukundan Sarukkai, Manalapan, NJ (US)
Assigned to AT&T INTELLECTUAL PROPERTY I, L.P., Atlanta, GA (US)
Filed by AT&T Intellectual Property I, L.P., Atlanta, GA (US)
Filed on Mar. 1, 2023, as Appl. No. 18/176,535.
Application 18/176,535 is a continuation of application No. 16/903,544, filed on Jun. 17, 2020, granted, now 11,620,575.
Prior Publication US 2023/0206130 A1, Jun. 29, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 16/245 (2019.01); G06F 40/40 (2020.01); G06N 5/02 (2023.01); G06N 5/022 (2023.01); G06N 5/045 (2023.01); G06N 20/00 (2019.01); G06Q 10/105 (2023.01)
CPC G06N 20/00 (2019.01) [G06F 16/245 (2019.01); G06F 40/40 (2020.01); G06N 5/02 (2013.01); G06N 5/022 (2013.01); G06N 5/045 (2013.01); G06Q 10/105 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
building, by an adaptive machine learning model based on a pattern of inputs from a user device, a user query profile, wherein the user query profile comprises learned patterns of queries included in the pattern of inputs;
returning, by the adaptive machine learning model, a result of the queries;
integrating, by the adaptive machine learning model, the user query profile with a first base model of the adaptive machine learning model responsive to a positive evaluation of the result of the queries;
staging, by the adaptive machine learning model based on the first base model and the queries, a self-learning model of the adaptive machine learning model;
discerning, by the adaptive machine learning model based on the first base model and the self-learning model, a mature usage pattern;
integrating, by the adaptive machine learning model, the mature usage pattern with the first base model to form a matured model; and
activating, by the adaptive machine learning model, the matured model as a second base model for future evolutions of the adaptive machine learning model.