US 12,265,561 B2
Machine learning for similarity scores between different document schemas
Liviu-Sebastian Matei, Bucharest (RO); and Filip Trojan, Beron (CZ)
Assigned to ORACLE INTERNATIONAL CORPORATION, Redwood Shores, CA (US)
Filed by Oracle International Corporation, Redwood Shores, CA (US)
Filed on Aug. 29, 2022, as Appl. No. 17/898,173.
Claims priority of provisional application 63/239,798, filed on Sep. 1, 2021.
Prior Publication US 2023/0068342 A1, Mar. 2, 2023
Int. Cl. G06F 16/33 (2019.01); G06F 16/332 (2019.01); G06F 16/334 (2025.01)
CPC G06F 16/3326 (2019.01) [G06F 16/3346 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A non-transitory computer-readable medium comprising instructions that, when executed by one or more processors, cause the one or more processors to perform operations comprising:
providing a plurality of documents having similarity scores that are calculated in response to receiving a first document, wherein the similarity scores indicate similarities between the first document and the plurality of documents;
receiving feedback from a user for a second document in the plurality of documents, wherein the feedback indicates whether the second document is relevant to the first document;
adjusting parameters of a configuration in response to the feedback, wherein the configuration is associated with documents having a same schema as the first document;
receiving a third document that has the same schema as the first document;
selecting the configuration based on the third document having the same schema as the first document; and
using adjusted parameters of the configuration to generate a plurality of queries, and executing the plurality of queries into a document repository to identify documents that are similar to the third document.