US 11,922,120 B2
Method for more accurately performing an autocomplete function
Teodora Sandra Buda, Barcelona (ES); Joao Guerreiro, Lisbon (PT); Aleksandar Matic, Lloret de Mar (ES); and Albert Garcia i Tormo, Barcelona (ES)
Assigned to Koa Health Digital Solutions S.L.U., Barcelona (ES)
Filed by Koa Health B.V., Barcelona (ES)
Filed on Mar. 17, 2023, as Appl. No. 18/123,249.
Application 18/123,249 is a continuation of application No. 17/708,776, filed on Mar. 30, 2022, granted, now 11,620,447.
Claims priority of application No. 22155712 (EP), filed on Feb. 8, 2022.
Prior Publication US 2023/0252236 A1, Aug. 10, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 40/274 (2020.01)
CPC G06F 40/274 (2020.01) 26 Claims
OG exemplary drawing
 
18. A system for autocompleting a textual input of a user, comprising:
a user interface on which the textual input is received from the user;
an analysis module that generates a situational parameter of the user and a temporal parameter based on the textual input;
a storage device from which the analysis module retrieves historical textual input and historical sensor data that relates to the situational parameter, wherein the historical sensor data that is retrieved is limited by the temporal parameter, wherein the analysis module aggregates the historical textual input and the historical sensor data;
a model-implementing module that selects a situational value from the situational parameter based on the historical textual input and the historical sensor data that has been aggregated; and
a situational autocomplete module that generates a list of words that the user is likely to input next based on the situational value that has been selected, wherein the words relate to the situational parameter, wherein the situational autocomplete module ranks the words of the list by probability that the user is intending to type each of the words, and wherein a word that is ranked highest on the list is displayed to the user on the user interface.