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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.

Patent No.:

US 11948378 B1

PDFFull Text
Date of Patent:
Apr. 02, 2024

Filed:

Dec. 23, 2021

Machine learning techniques for determining predicted similarity scores for input sequences

Applicant:

Unitedhealth Group Incorporated, Minnetonka, MN (US);

Inventors:

Subhodeep Dey, Chandigarh, IN;

Brad Booher, Baldwin, WI (US);

Edward Sverdlin, Edina, MN (US);

Reshma S. Ombase, Olathe, KS (US);

Raghvendra Kumar Yadav, Uttar Pradesh, IN;

Assignee:

UnitedHealth Group Incorporated, Minnetonka, MN (US);

Attorney:

Alston & Bird LLP

Primary Examiner:

Ping Y Hsieh

Assistant Examiner:

Xiao undefined Liu

Int. Cl.
CPC ...
G06V 30/00 (2022.01); G06V 10/82 (2022.01); G06V 30/19 (2022.01);
U.S. Cl.
CPC ...
G06V 30/19093 (2022.01); G06V 10/82 (2022.01); G06V 30/1912 (2022.01);
Abstract

Systems and methods for dynamically generating a predicted similarity score for a pair of input sequences. A predicted similarity score for a pair of input sequences is determined based at least in part on at least one of a token-level similarity probability score for the pair of input sequences, a target region match indication for the pair of input sequences, a fuzzy match score for the pair of input sequences, a character-level match score for the pair of input sequences, one or more similarity ratio occurrence indicators for the pair of input sequences, and a harmonic mean score of the fuzzy match score for the pair of input sequences and the token-level similarity probability score for the pair of input sequences.

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Quick Actions:

Dey, Subhodeep. (2024). Machine learning techniques for determining predicted similarity scores for input sequences (U.S. Patent No. 11948378). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/11948378

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