公开(公告)号：US20220215034A1

公开(公告)日：2022-07-07

申请号：US17495273

申请日：2021-10-06

Applicant: Samsung Electronics Co., Ltd.

Inventor： Kangyong PARK ,  Seungho JUNG ,  Minhyeok KWEUN ,  Kyungjae KIM ,  Goeun KIM ,  Eunkyu OH ,  Hyun HEO ,  Jisoo HWANG

IPC: G06F16/25 ,  G06N5/02

Abstract: An electronic apparatus is provided. The electronic apparatus includes a storage and a processor to generate first training data by performing transformation for first original data based on at least one first transform function input according to a user input, store first metadata including the at least one first transform function in the storage, generate second training data by performing transformation for second original data based on at least one first transform function included in the stored first metadata, generate third training data by performing transformation for the second training data based on at least one second transform function input according to a user input, and store second metadata including the at least one first transform function and the at least one second transform function in the storage.

公开(公告)号：US20230110006A1

公开(公告)日：2023-04-13

申请号：US17966237

申请日：2022-10-14

Applicant: Samsung Electronics Co., Ltd.

Inventor： Minsoo KIM ,  Taehun KIM ,  Eunkyu OH ,  Yunhu JI ,  Sushil KHYALIA

IPC: H04N21/2668 ,  H04N21/25

Abstract: An electronic apparatus is provided. The electronic apparatus includes a memory configured to store at least one command and a processor connected to the memory and configured to control the electronic apparatus. The processor is configured to, by executing the at least one command, obtain graph information for a plurality of users in which viewing content is arranged in a time sequence based on content viewing history information for a plurality of users, obtain attribute information for each content by inputting the graph information for the plurality of users to a Graph Neural Network (GNN) model, group the plurality of users into a plurality of viewing groups based on the graph information for the plurality of users and the attribute information for each content, and provide a recommended content based on content information corresponding to the plurality of viewing groups.

公开(公告)号：US20240221018A1

公开(公告)日：2024-07-04

申请号：US18403403

申请日：2024-01-03

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Hongjun JANG ,  Eunkyu OH ,  Minsoo KIM ,  Taehun KIM ,  Yunhu JI

IPC: G06Q30/0211 ,  G06Q30/0207

CPC classification number: G06Q30/0211 ,  G06Q30/0239 ,  G06N5/04

Abstract: A method by which an electronic device provides a service to a user, includes: obtaining data related to at least one of the user, a plurality of products, or one or more marketing activities; identifying the user's purchase intention based on the data; identifying at least one product combination comprising two or more products from among the plurality of products and a discount rate of the at least one product combination by applying the identified user's purchase intention and the data to an artificial intelligence (AI) model; and displaying, on a display of the electronic device, the at least one product combination and the discount rate.

公开(公告)号：US20230297832A1

公开(公告)日：2023-09-21

申请号：US18201405

申请日：2023-05-24

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Eunkyu OH ,  Taehun Kim ,  Minsoo Kim ,  Yunhu Ji ,  Sushill Khyalla

IPC: G06N3/08 ,  G06N3/0455

CPC classification number: G06N3/08 ,  G06N3/0455

Abstract: An electronic device is provided. The electronic device includes: a memory storing a neural network model; and a processor configured to: obtain a plurality of individual graphs based on an access history for a plurality of contents over a plurality of sessions; generate an integrated graph, in which the plurality of individual graphs are integrated, based on a connection relationship between nodes included in the plurality of individual graphs and a number of times each connection between the nodes is repeated; obtain a plurality of augmented graphs by augmenting each of the plurality of individual graphs based on the integrated graph; and train the neural network model to provide recommended content based on the plurality of augmented graphs.