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:
Nov. 03, 2026

Filed:

Mar. 27, 2025
Applicant:

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

Inventors:

Liviu-Sebastian Matei, Bucharest, RO;

Filip Torjan, Beroun, CZ;

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/332 (2019.01); G06F 16/334 (2025.01);
U.S. Cl.
CPC ...
G06F 16/3326 (2019.01); G06F 16/3346 (2019.01);
Abstract

A document repository may be searched for documents that are similar to a source document. Multiple queries may be generated based on a type of the source document, and the results may be combined in a unified response. User behavior may then be monitored, and implicit and explicit feedback may be gathered to evaluate the performance of the search. The gathered feedback may indicate how relevant each of the result documents are in comparison to the original source document. This feedback may then be used to adjust search parameters for the source document type, such that the performance of subsequent searches may be improved. A model may also be trained to classify implicit feedback using explicit feedback received from users.


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Matei, Liviu-Sebastian. (2026). Machine learning for similarity scores between different document schemas (U.S. Patent No. 12783558). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12783558

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