The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 07, 2025

Filed:

Sep. 15, 2023
Applicant:

Paypal, Inc., San Jose, CA (US);

Inventors:

Itay Margolin, Pardesiya, IL;

Tomer Handelman, Ramat-Gan, IL;

Assignee:

PAYPAL, INC., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/18 (2019.01); G06F 18/213 (2023.01); G06F 18/214 (2023.01); G06F 18/2413 (2023.01); G06N 5/04 (2023.01); G06N 20/20 (2019.01);
U.S. Cl.
CPC ...
G06F 18/24147 (2023.01); G06F 18/213 (2023.01); G06F 18/2148 (2023.01); G06N 5/04 (2013.01); G06N 20/20 (2019.01);
Abstract

Methods and systems are presented for imputing missing data items within a first dataset based on data associated with a second dataset that is the nearest neighbor of the first dataset. A first mapping model is configured to map data subsets corresponding to a first data source to first positions in a multi-dimensional space. A second mapping model is configured to map data subsets corresponding to a second data source to second positions in the multi-dimensional space. The first and second mapping models are trained together to reduce a distance between positions mapped by the first and second mapping models based on corresponding data subsets that belong to the same entity. A nearest neighbor dataset to the first dataset is identified based on the first and second mapping models. Data associated with the nearest neighbor dataset is used to impute the missing data items of the first dataset.


Find Patent Forward Citations

Loading…