公开(公告)号：US20240296349A1

公开(公告)日：2024-09-05

申请号：US18176891

申请日：2023-03-01

Applicant: Verizon Patent and Licensing Inc.

Inventor： Subham Biswas ,  Keerthivasan Madurai

IPC: G06N5/022

CPC classification number: G06N5/022

Abstract: A device may include a processor configured to receive real-time data associated with a prediction usage system; determine one or more features associated with the received real-time data; select one or more relevant features, associated with a set of prediction output classes, based on the determined one or more features, using a knowledge graph for the set of prediction output classes; and provide the one or more relevant features as input to a prediction system for the set of prediction output classes. The processor may be further configured to obtain a prediction associated with the set of prediction output classes from the prediction system based on the provided one or more relevant features as input and provide the obtained prediction to the prediction usage system.

公开(公告)号：US11818293B1

公开(公告)日：2023-11-14

申请号：US17840010

申请日：2022-06-14

Applicant: Verizon Patent and Licensing Inc.

Inventor： Subham Biswas ,  Keerthivasan Madurai

IPC: H04M3/523 ,  H04M3/42 ,  H04Q3/00 ,  H04M3/22

CPC classification number: H04M3/523 ,  H04M3/22 ,  H04M3/4228 ,  H04Q3/0029 ,  H04Q2213/13541

Abstract: In some implementations, a device may obtain data indicating a client activity, and may determine predictive level scores corresponding to predictive level options associated with the client activity. The device may transmit, to a client device, a selected predictive level option having a highest predictive level score. The device may receive, from the client device, a client query based on a rejection of the selected predictive level option, and may determine intent level scores corresponding to intent level options associated with the client query. The device may identify a selected intent level option having a highest intent level score and may initiate client experience(s) associated with the selected intent level option. The predictive level scores and/or the intent level scores may be determined based on historical training data associated with combinations of client activities, predictive level options, client queries, intent level options, client experiences, and associated success scores.