US 11,694,251 B2
Artificial intelligence for recommending a service
Myoseop Sim, Seoul (KR); Huijeong Seong, Seoul (KR); Dongki Cheon, Seoul (KR); and Jahee Hur, Seoul (KR)
Assigned to LG Electronics Inc., Seoul (KR)
Filed by LG Electronics Inc., Seoul (KR)
Filed on Nov. 22, 2019, as Appl. No. 16/692,612.
Claims priority of application No. 10-2019-0107828 (KR), filed on Aug. 31, 2019.
Prior Publication US 2020/0151798 A1, May 14, 2020
Int. Cl. G06Q 30/0601 (2023.01); H04L 67/306 (2022.01); G06N 3/08 (2023.01); H04W 4/029 (2018.01); G06F 40/279 (2020.01); G06Q 30/0202 (2023.01); H04L 67/52 (2022.01); H04L 67/50 (2022.01)
CPC G06Q 30/0631 (2013.01) [G06F 40/279 (2020.01); G06N 3/08 (2013.01); G06Q 30/0202 (2013.01); H04L 67/306 (2013.01); H04L 67/52 (2022.05); H04L 67/535 (2022.05); H04W 4/029 (2018.02)] 19 Claims
OG exemplary drawing
 
1. A method for controlling an intelligent device, the method comprising:
acquiring source data related to a user;
based on the source data, generating a cluster that is related to recommending a service and that includes a set of data having one or more categories of recommendable services by acquiring, from a server, information regarding the recommendable services to generate the cluster;
based on the cluster, generating a profile of the user by (i) generating a feature value using the cluster, (ii) providing the feature value as an input to a learned artificial neural network model, and (iii) receiving, from the learned artificial neural network model, the profile of the user; and
transmitting the profile of the user to the server to cause the server to recommend the service to the user based on the profile of the user.