公开(公告)号：US11252375B2

公开(公告)日：2022-02-15

申请号：US16733689

申请日：2020-01-03

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Daewon Yoon ,  Gohwoon Jeong ,  Daeeun Hyun ,  Sangshin Park ,  Kwansik Yang

IPC: H04N7/173 ,  H04N21/482 ,  H04N21/438 ,  H04N5/445 ,  H04N21/4227 ,  H04N21/47 ,  H04N21/422

Abstract: An electronic apparatus including: a display; a signal receiver including circuitry configured to receive a broadcast signal; a processor configured to control the electronic apparatus to: obtain first information about a broadcasting schedule corresponding to a plurality of channels provided through the broadcast signal, determine a recommendation level of a program corresponding to a time unit section having a predetermined time length with regard to a plurality of programs of the plurality of channels based on the obtained first information, obtain second information about a broadcasting schedule of the programs selected based on the determined recommendation level among the plurality of programs, and process the broadcasting schedule of the selected programs to be displayed on the display based on the obtained second information.

公开(公告)号：US20210201146A1

公开(公告)日：2021-07-01

申请号：US17119393

申请日：2020-12-11

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Daewon Yoon ,  Jinhyun Kim ,  Byeol Park ,  Sangshin Park ,  Changkun Park ,  Gohwoon Jeong

IPC: G06N3/08 ,  G06N5/04

Abstract: The disclosure relates to an artificial intelligence (AI) system, which imitates functions of the human brain, such as recognition and determination, using a machine learning algorithm such as deep learning, and an application thereof. A computing device includes: a memory storing one or more instructions; and a processor configured to execute the one or more instructions stored in the memory to execute the one or more instructions to: using at least one neural network, infer user-preferred item candidates and user tastes based on user information; and select and provide an item suited to the user tastes from among the user-preferred item candidates.