公开(公告)号：US12046063B2

公开(公告)日：2024-07-23

申请号：US17461120

申请日：2021-08-30

Applicant: Bill.com, LLC

Inventor： Natalia Berestovsky ,  Stefano Andrea Romano ,  Ricardo Antonio Fernandez ,  Joseph Michael Price

IPC: G06V30/41 ,  G06F18/22 ,  G06F40/30 ,  G06V30/14 ,  G06V30/412 ,  G06V30/413 ,  G06V30/414 ,  G06V30/18

CPC classification number: G06V30/412 ,  G06F18/22 ,  G06F40/30 ,  G06V30/1448 ,  G06V30/413 ,  G06V30/414 ,  G06V30/18067 ,  G06V2201/07

Abstract: The accuracy of existing machine learning models, software technologies, and computers are improved by using one or more machine learning models to map data inside structural elements, such as rows or columns, as found within a document to data objects of other documents, where the data objects are at least partially indicative of candidate categories that the data can belong to.

公开(公告)号：US20230065915A1

公开(公告)日：2023-03-02

申请号：US17461120

申请日：2021-08-30

Applicant: Bill.com, LLC

Inventor： Natalia Berestovsky ,  Stefano Andrea Romano ,  Ricardo Antonio Fernandez ,  Joseph Michael Price

IPC: G06K9/00 ,  G06K9/62 ,  G06K9/20 ,  G06F40/30

Abstract: The accuracy of existing machine learning models, software technologies, and computers are improved by using one or more machine learning models to map data inside structural elements, such as rows or columns, as found within a document to data objects of other documents, where the data objects are at least partially indicative of candidate categories that the data can belong to.