US 12,236,190 B2
Intelligent phrase derivation generation
Kyle Smaagard, Forest Lake, MN (US); Matt Matsui, Minneapolis, MN (US); Boris Chaplin, Medina, MN (US); Paul Gordon, Minneapolis, MN (US); Dylan Morgan, Minneapolis, MN (US); Skyler Grammer, Minneapolis, MN (US); and Chris Vanciu, Isle, MN (US)
Assigned to Calabrio, Inc., Minneapolis, MN (US)
Filed by Calabrio, Inc., Minneapolis, MN (US)
Filed on Apr. 23, 2022, as Appl. No. 17/727,734.
Claims priority of provisional application 63/178,743, filed on Apr. 23, 2021.
Prior Publication US 2022/0343071 A1, Oct. 27, 2022
Int. Cl. G06F 17/00 (2019.01); G06F 16/31 (2019.01); G06F 40/247 (2020.01); G06F 40/289 (2020.01)
CPC G06F 40/247 (2020.01) [G06F 16/31 (2019.01); G06F 40/289 (2020.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method for intelligent generation of one or more related alternative phrases, the method comprising:
acquiring a bulk data input comprising one or more seed phrases that are requested for derivation;
inputting the bulk data input into a model configured to generate an input based on determining:
one or more derivative phrases from each of the seed phrases in the bulk data input, each of the one or more derivative phrases corresponding to a respective seed phrase;
one or more arrangements with which to arrange each of the derivative phrases in the one or more derivative phrases; and
a characteristic of the respective seed phrase, the one or more arrangements corresponding to the characteristic of the respective seed phrase;
providing the input to the model, the input is processed by the model to generate an arrangement result, the arrangement result including the one or more derivative phrases in an arrangement of the one or more arrangements, the arrangement indicating one or more recommended derivative phrases of the one or more derivative phrases; and
returning the arrangement result to a user.