US 11,861,313 B2
Multi-level linguistic alignment in specific user targeted messaging
Gandhi Sivakumar, Bentleigh (AU); Lynn Kwok, Southbank (AU); Kushal Patel, Pune (IN); and Sarvesh S. Patel, Pune (IN)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on Feb. 2, 2020, as Appl. No. 16/779,663.
Prior Publication US 2021/0240936 A1, Aug. 5, 2021
Int. Cl. G06F 40/30 (2020.01); G06F 40/253 (2020.01); G06F 40/263 (2020.01); G06N 5/04 (2023.01)
CPC G06F 40/30 (2020.01) [G06F 40/253 (2020.01); G06F 40/263 (2020.01); G06N 5/04 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer implemented method for user specific targeted messaging used by an individual user to manage individual specific personal user needs comprising:
analyzing, by a computer system, collected data from a plurality of sources relating to a specific user; wherein said specific user is a single individual user;
providing said analyzed data as an input to a cognitive model for determining said specific user's personality insights, situational insights and a preference linguistic set; wherein said personality insight includes at least one of said specific user's expectations, motives, goals and beliefs;
said cognitive model calculating a relationship between said specific user's personality insights and situational insights and preference linguistic to use in interactions with said specific user in one or more generated message;
said cognitive model generating a multilayered linguistic preference set for said specific user;
upon receiving a communication from said specific user, determining said specific user's current location and a particular messaging channel to be used based on said specific user's current location;
determining, a set of linguistic traits applicable to said linguistic preference set for said specific user wherein said linguistic traits can provide a same message in different format and languages by analyzing context of each message, said specific user's current location, language preferences based on a language hierarchy for said specific user based on previously collected data as well as and specific user input;
generating a customized message based on using said cognitive model's determination of said specific user personality insights, situational insights and said set of language hierarchical linguistic preference set, a message to said specific user and based on said specific user's current location, messaging channel; and
sending said customized message only to said specific user.