US 11,973,595 B2
Recast repetitive messages
Paul R. Bastide, Ashland, MA (US); Matthew E. Broomhall, Goffstown, NH (US); and Robert E. Loredo, North Miami Beach, FL (US)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US)
Filed on Nov. 11, 2021, as Appl. No. 17/454,554.
Application 17/454,554 is a division of application No. 16/517,762, filed on Jul. 22, 2019, granted, now 11,177,907.
Prior Publication US 2022/0069945 A1, Mar. 3, 2022
Int. Cl. H04L 1/08 (2006.01); H04L 1/1809 (2023.01); H04L 1/1867 (2023.01)
CPC H04L 1/08 (2013.01) [H04L 1/1809 (2013.01); H04L 1/1887 (2013.01)] 16 Claims
OG exemplary drawing
 
1. A computer-implemented method for recasting repetitive messages, the method comprising:
receiving, by a processor, a message;
determining, by the processor, whether the received message is repetitive, determining whether the received message is repetitive including extracting data from the received message and storing the extracted data in a knowledge graph or a triple store when comparing the extracted data to stored historical message data;
rating, by the processor, an importance level of the received message; and
determining a preference for recasting the received message,
wherein comparing the extracted data to stored historical message data is performed using a lookup table in a specified timeframe to generate a frequency score of extracted data using, the generated frequently score used to determine a repetitiveness of the extracted data.