公开(公告)号：US20230069640A1

公开(公告)日：2023-03-02

申请号：US17463425

申请日：2021-08-31

Applicant: ZEBRA TECHNOLOGIES CORPORATION

Inventor： Dale W. Russell ,  Jeffrey B. Wilhite ,  Valik Solorzano Barboza

IPC: G06F16/23 ,  G06F16/2457 ,  G06F16/2458 ,  G06F16/248 ,  G06K9/62 ,  G06N20/00

Abstract: In some implementations, a query management system may receive an access notification associated with the data source. The query management system may analyze the data source to determine a query parameter that is associated with the data source. The query management system may determine a reliability score for the query parameter based on at least one of: source data of the data source, and other source data associated with one or more other data sources. The query management system may configure, based on the reliability score satisfying a reliability threshold, a communication interface with the data source. The query management system may integrate the data source for use with the virtual assistant in accordance with the reliability score, the query parameter, and the communication interface.

公开(公告)号：US12001418B2

公开(公告)日：2024-06-04

申请号：US17463425

申请日：2021-08-31

Applicant: ZEBRA TECHNOLOGIES CORPORATION

Inventor： Dale W. Russell ,  Jeffrey B. Wilhite ,  Valik Solorzano Barboza

IPC: G06F16/23 ,  G06F16/2457 ,  G06F16/2458 ,  G06F16/248 ,  G06F18/21 ,  G06N20/00

CPC classification number: G06F16/2358 ,  G06F16/24573 ,  G06F16/2471 ,  G06F16/248 ,  G06F18/217 ,  G06N20/00

Abstract: In some implementations, a query management system may receive an access notification associated with the data source. The query management system may analyze the data source to determine a query parameter that is associated with the data source. The query management system may determine a reliability score for the query parameter based on at least one of: source data of the data source, and other source data associated with one or more other data sources. The query management system may configure, based on the reliability score satisfying a reliability threshold, a communication interface with the data source. The query management system may integrate the data source for use with the virtual assistant in accordance with the reliability score, the query parameter, and the communication interface.

公开(公告)号：US20210125250A1

公开(公告)日：2021-04-29

申请号：US17078823

申请日：2020-10-23

Applicant: ZEBRA TECHNOLOGIES CORPORATION

Inventor： Jeffrey B. Wilhite ,  Dale W. Russell ,  Valik Solorzano Barboza ,  Matthew B. Hayes

IPC: G06Q30/06 ,  G06Q10/06 ,  G06K7/10 ,  G06Q50/28 ,  G06F16/242 ,  G06F3/16

Abstract: Systems and methods for facilitating customer interactions, such as customer evaluation of goods, are provided. Sensor input relevant to items selected by a customer is received by an interactive device, which creates a contextual element based on the sensor input and previously provided configuration data. The device receiving a voice command from a customer. The voice command is parsed into a logical command. The logical command is associated with the contextual element and the associated contextual element and logical command are transmitted to an associate, such that the associate is prompted to respond to the logical command.

公开(公告)号：US20220269734A1

公开(公告)日：2022-08-25

申请号：US17179983

申请日：2021-02-19

Applicant: ZEBRA TECHNOLOGIES CORPORATION

Inventor： Dale W. Russell

IPC: G06F16/9032 ,  G06F16/904 ,  G06F16/9035 ,  G10L15/06 ,  G10L15/197 ,  G10L15/18

Abstract: Intelligent natural language dialogue systems and methods are described for creating intelligent natural language dialogues for efficient retrieval of items in one or more large databases. An intelligent dialogue model is trained with feature-value pair(s) corresponding to natural language phrase(s) defining respective feature-specific intents. The intelligent dialogue model interprets the audible utterance of a user to determine user-specific feature-value pair(s), where the audible utterance comprises a natural language phrase corresponding to a feature-specific intent. An item is identified based on a matching score determined from the user-specific feature-value pair(s) compared with one or more item definitions defined in a database.