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:
Oct. 24, 2023

Filed:

Nov. 15, 2022
Applicant:

Oracle International Corporation, Redwood Shores, CA (US);

Inventors:

Gopal Srinivasa Raghavan, Bangalore, IN;

Abhiram Madhukar Gujjewar, San Ramon, CA (US);

Ganesh Seetharaman, Redwood City, CA (US);

Jai Motwani, Bangalore, IN;

Sayon Dutta, Bengaluru, IN;

Rajat Mahajan, Bengaluru, IN;

Manasjyoti Sharma, Bangalore, IN;

Assignee:

ORACLE INTERNATIONAL CORPORATION, Redwood Shores, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/00 (2019.01); G06F 7/00 (2006.01); G06F 16/2457 (2019.01); G06F 16/22 (2019.01); G06N 20/00 (2019.01); G06F 16/248 (2019.01);
U.S. Cl.
CPC ...
G06F 16/24578 (2019.01); G06F 16/221 (2019.01); G06F 16/2246 (2019.01); G06F 16/2255 (2019.01); G06F 16/248 (2019.01); G06N 20/00 (2019.01);
Abstract

A machine-learning model may be previously trained with a supervised learning algorithm to identify whether a pair of labels provided as input are similar. A locality sensitive hashing forest (LSH) may be generated for the set of candidate labels. When a user later identifies an input label (e.g., by search query, by interface selection, etc.) the input label may be used to query the LSH forest to identify a subset of the candidate labels. This subset may be used to generate respective pairs comprising the input label, one of the subset candidate labels, and a corresponding feature set generated for the pair. This data may be provided to the model to identify a degree to which the pair of labels are similar. The user may be provided one or more recommendations including similar terms identified from the model's output.


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