US 12,131,236 B2
System and method for detecting similarities
Boris Oreshkin, Montreal (CA); Bahador Khaleghi, Montreal (CA); Francois Maillet, Montreal (CA); and Paul Gagnon, Montreal (CA)
Assigned to ServiceNow Canada Inc., Montreal (CA)
Appl. No. 17/259,713
Filed by SERVICENOW CANADA INC., Montreal (CA)
PCT Filed Jul. 11, 2019, PCT No. PCT/CA2019/050954
§ 371(c)(1), (2) Date Jan. 12, 2021,
PCT Pub. No. WO2020/010459, PCT Pub. Date Jan. 16, 2020.
Claims priority of provisional application 62/697,045, filed on Jul. 12, 2018.
Prior Publication US 2021/0133951 A1, May 6, 2021
Int. Cl. G06T 7/00 (2017.01); G06F 18/21 (2023.01); G06N 20/00 (2019.01); G06Q 10/0639 (2023.01); G06V 10/75 (2022.01); G06Q 30/018 (2023.01); G06V 20/00 (2022.01)
CPC G06N 20/00 (2019.01) [G06F 18/217 (2023.01); G06Q 10/06395 (2013.01); G06T 7/0006 (2013.01); G06V 10/758 (2022.01); G06Q 30/018 (2013.01); G06V 20/95 (2022.01)] 18 Claims
OG exemplary drawing
 
1. A computer-implemented method for determining a similarity between an input data set detailing features relating to an input product signature and a target data set detailing features relating to a target, the computer-implemented method being executed by at least one processor operatively connected to a non-transitory storage medium, the computer-implemented method comprising:
extracting a vector representation of features of said input product signature to result in said input data set;
processing said input data set to determine a level of similarity between said features of said input product signature and said features of said target, and to detect and assess similarities between said features of said target in said target data set and features in said input product signature;
receiving a data output from said processing step, said data output being indicative of a level of similarity between said features detailed in said input data set and said features detailed in said target data set;
in the event said data output conforms to at least one predetermined criterion, generating an alert;
sending said data output to a user for validation; and
receiving results of said validation;
wherein said data output and said results of said validation are further processed for use in further training a model used in determining said level of similarity only when results of said validation and said data output indicate an error in said level of similarity.