US 12,405,990 B2
Systems and methods for finding historically similar incidents
John C. Platais, Menomonee Falls, WI (US); and Ranadhir Ghosh, St Johns, FL (US)
Assigned to Fidelity Information Services, LLC, Jacksonville, FL (US)
Filed by Fidelity Information Services, LLC, Jacksonville, FL (US)
Filed on Oct. 23, 2023, as Appl. No. 18/492,172.
Prior Publication US 2025/0131032 A1, Apr. 24, 2025
Int. Cl. G06F 16/38 (2019.01); G06F 11/07 (2006.01); G06F 16/334 (2025.01); G06F 16/35 (2019.01)
CPC G06F 16/38 (2019.01) [G06F 11/0793 (2013.01); G06F 16/3344 (2019.01); G06F 16/35 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method for finding historically similar incidents in a system, the method comprising:
receiving a data object indicating an occurrence of a current incident associated with a configurable item, the data object including current incident metadata, the current incident metadata including a configurable item identifier (ID), a configurable item name, and a description of the current incident;
receiving a plurality of historical data objects corresponding to a plurality of previous incidents, each of the plurality of historical data objects indicating an occurrence of a previous incident and including previous incident metadata, the previous incident metadata including a configurable item ID, a configurable item name, and a description of the previous incident;
determining one or more historical data objects, of the plurality of historical data objects, that are similar to the data object based on a comparison of the current incident metadata to the previous incident metadata, wherein the one or more historical data objects include a plurality of lists of historical data object, each list corresponding to a particular metadata association, wherein each list is determined by a particular current incident metadata's similarity to the corresponding metadata of the historical incident metadata;
generating a score for each of the one or more historical data objects based on the comparison of the current incident metadata to the previous incident metadata; and
outputting the one or more historical data objects that are similar to the data object to a user via a graphical user interface (GUI).