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:
Mar. 10, 2020

Filed:

May. 11, 2017
Applicant:

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

Inventors:

Xing Wang, Lianyungang, CN;

Adam Cohen, Ramat Gan, IL;

David Stein, Even Yehuda, IL;

Chunmao Ran, Shanghai, CN;

Itzik Levi, Tel-Aviv Yafo, IL;

Doron Hai-Reuven, Kfar Saba, IL;

Assignee:

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

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06Q 20/40 (2012.01); G06N 5/04 (2006.01); G06N 20/00 (2019.01); G06Q 20/10 (2012.01); G06Q 20/08 (2012.01); G06F 16/28 (2019.01);
U.S. Cl.
CPC ...
G06Q 20/4016 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06Q 20/085 (2013.01); G06Q 20/10 (2013.01); G06F 16/285 (2019.01);
Abstract

Rapidly handling large data sets can be a challenge, particularly in situations where there are millions or even hundreds of millions of database records. Sometimes, however, a service level agreement necessitates that a service return a response to a query in a small amount of time. Database organization techniques can be used that reduce potentially large datasets to smaller groups (neighbors) based on uncommon but shared attributes, in various instances. Using a limited set of related records, queries can be answered using a focused approximation based on characteristics of various identified clusters of records in the set of related records. A particular record may also be associated with an existing cluster of records based on that record's similarities to records in the cluster.


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