公开(公告)号：US12105694B2

公开(公告)日：2024-10-01

申请号：US18298353

申请日：2023-04-10

Applicant: AT&T Intellectual Property I, L.P.

Inventor： Prince Paulraj ,  Shilpi Harpavat ,  Weiping Liu ,  Shreyash Taywade ,  Arjun Coimbatore Nagarasan ,  Yukun Zeng ,  Prabhu Gururaj

IPC: G06F7/00 ,  G06F16/22 ,  G06N5/04 ,  G06N20/00 ,  G06Q30/016 ,  G06Q30/0201 ,  G06Q40/02

CPC classification number: G06F16/2272 ,  G06N5/04 ,  G06N20/00 ,  G06Q30/016 ,  G06Q30/0201 ,  G06Q40/02

Abstract: In another example, a device includes a processor and a computer-readable medium storing instructions which, when executed by the processor, cause the processor to perform operations. The operations include acquiring a plurality of data items from a plurality of data sources, wherein the at least two data sources data sources of the plurality of data sources are maintained by different entities, normalizing attributes of the plurality of data items, using a first machine learning technique, matching at least two data items of the plurality of data items to form a grouping, wherein the matching is based on similarities observed in the attributes of the at least two data items subsequent to the normalizing, and creating a single profile for an individual associated with the at least two data items, based on the grouping, wherein the single profile consolidates the attributes of the at least two data items.

公开(公告)号：US20210173822A1

公开(公告)日：2021-06-10

申请号：US16782754

申请日：2020-02-05

Applicant: AT&T Intellectual Property I, L.P.

Inventor： Prince Paulraj ,  Shilpi Harpavat ,  Weiping Liu ,  Shreyash Taywade ,  Arjun Coimbatore Nagarasan ,  Yukun Zeng ,  Prabhu Gururaj

IPC: G06F16/22 ,  G06N20/00 ,  G06N5/04 ,  G06Q30/02 ,  G06Q30/00 ,  G06Q40/02

Abstract: In another example, a device includes a processor and a computer-readable medium storing instructions which, when executed by the processor, cause the processor to perform operations. The operations include acquiring a plurality of data items from a plurality of data sources, wherein the at least two data sources data sources of the plurality of data sources are maintained by different entities, normalizing attributes of the plurality of data items, using a first machine learning technique, matching at least two data items of the plurality of data items to form a grouping, wherein the matching is based on similarities observed in the attributes of the at least two data items subsequent to the normalizing, and creating a single profile for an individual associated with the at least two data items, based on the grouping, wherein the single profile consolidates the attributes of the at least two data items.

公开(公告)号：US20250021541A1

公开(公告)日：2025-01-16

申请号：US18902429

申请日：2024-09-30

Applicant: AT&T Intellectual Property I, L.P.

Inventor： Prince Paulraj ,  Shilpi Harpavat ,  Weiping Liu ,  Shreyash Taywade ,  Arjun Coimbatore Nagarasan ,  Yukun Zeng ,  Prabhu Gururaj

IPC: G06F16/22 ,  G06N5/04 ,  G06N20/00 ,  G06Q30/016 ,  G06Q30/0201 ,  G06Q40/02

Abstract: In another example, a device includes a processor and a computer-readable medium storing instructions which, when executed by the processor, cause the processor to perform operations. The operations include acquiring a plurality of data items from a plurality of data sources, wherein the at least two data sources data sources of the plurality of data sources are maintained by different entities, normalizing attributes of the plurality of data items, using a first machine learning technique, matching at least two data items of the plurality of data items to form a grouping, wherein the matching is based on similarities observed in the attributes of the at least two data items subsequent to the normalizing, and creating a single profile for an individual associated with the at least two data items, based on the grouping, wherein the single profile consolidates the attributes of the at least two data items.

公开(公告)号：US11625379B2

公开(公告)日：2023-04-11

申请号：US16782754

申请日：2020-02-05

Applicant: AT&T Intellectual Property I, L.P.

Inventor： Prince Paulraj ,  Shilpi Harpavat ,  Weiping Liu ,  Shreyash Taywade ,  Arjun Coimbatore Nagarasan ,  Yukun Zeng ,  Prabhu Gururaj

IPC: G06F7/00 ,  G06F16/22 ,  G06N20/00 ,  G06Q40/02 ,  G06Q30/0201 ,  G06Q30/016 ,  G06N5/04

Abstract: In another example, a device includes a processor and a computer-readable medium storing instructions which, when executed by the processor, cause the processor to perform operations. The operations include acquiring a plurality of data items from a plurality of data sources, wherein the at least two data sources data sources of the plurality of data sources are maintained by different entities, normalizing attributes of the plurality of data items, using a first machine learning technique, matching at least two data items of the plurality of data items to form a grouping, wherein the matching is based on similarities observed in the attributes of the at least two data items subsequent to the normalizing, and creating a single profile for an individual associated with the at least two data items, based on the grouping, wherein the single profile consolidates the attributes of the at least two data items.

公开(公告)号：US20230252014A1

公开(公告)日：2023-08-10

申请号：US18298353

申请日：2023-04-10

Applicant: AT&T Intellectual Property I, L.P.

Inventor： Prince Paulraj ,  Shilpi Harpavat ,  Weiping Liu ,  Shreyash Taywade ,  Arjun Coimbatore Nagarasan ,  Yukun Zeng ,  Prabhu Gururaj

IPC: G06F16/22 ,  G06N20/00 ,  G06Q40/02 ,  G06Q30/0201 ,  G06Q30/016 ,  G06N5/04

CPC classification number: G06F16/2272 ,  G06N20/00 ,  G06Q40/02 ,  G06Q30/0201 ,  G06Q30/016 ,  G06N5/04

Abstract: In another example, a device includes a processor and a computer-readable medium storing instructions which, when executed by the processor, cause the processor to perform operations. The operations include acquiring a plurality of data items from a plurality of data sources, wherein the at least two data sources data sources of the plurality of data sources are maintained by different entities, normalizing attributes of the plurality of data items, using a first machine learning technique, matching at least two data items of the plurality of data items to form a grouping, wherein the matching is based on similarities observed in the attributes of the at least two data items subsequent to the normalizing, and creating a single profile for an individual associated with the at least two data items, based on the grouping, wherein the single profile consolidates the attributes of the at least two data items.