公开(公告)号：US20220147870A1

公开(公告)日：2022-05-12

申请号：US17421292

申请日：2020-01-06

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Vivek AGARWAL ,  Jatin GARG ,  Jayoon KOO ,  Dongjin SEO ,  Kwanki AHN ,  Keuntek LEE

IPC: G06N20/00 ,  G06F16/435 ,  H04N21/466

Abstract: An electronic device according to an embodiment of the disclosure includes: a communicator; a memory storing one or more instructions; at least one processor configured to execute the one or more instructions stored in the memory to collect content metadata and user metadata from a plurality of different servers that provide content, obtain a content latent factor including information about similarities between pieces of the content based on characteristics of the content metadata, by using a first learning network model, obtain a user latent factor related to user preferred content information based on characteristics of the user metadata, by using a second learning network model, obtain a user preference score for the content based on the content latent factor and the user latent factor, by using a third learning network model, and provide a recommended content list based on the user preference score.

公开(公告)号：US20230362444A1

公开(公告)日：2023-11-09

申请号：US17312295

申请日：2021-01-08

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Keuntek LEE ,  Kwanki AHN ,  Yayoon KOO

IPC: H04N21/466

CPC classification number: H04N21/4666 ,  H04N21/4667

Abstract: The disclosure relates to an artificial intelligence (AI) system and an application thereof. A computing device disclosed includes: a memory storing one or more instructions; and a processor configured to execute the one or more instructions stored in the memory, wherein the processor is configured to execute the one or more instructions to input a recommendation recipient's consumption information to a first neural network configured to receive item consumption information of a user and reconstruct the item consumption information and a second neural network embedded into the first neural network and having been trained with respect to metadata consumption information corresponding to the item consumption information, and obtain item recommendation information to which the metadata consumption information is reflected.

公开(公告)号：US20240177214A1

公开(公告)日：2024-05-30

申请号：US18383772

申请日：2023-10-25

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Kwanki AHN ,  Saeeun CHOI

IPC: G06Q30/0601

CPC classification number: G06Q30/0631

Abstract: A computing device obtains first metadata information related to a plurality of items of content and content viewing history information related to a user, generates a first feature vector for the user based on second metadata information related to at least one item of content viewed by the user in the content viewing history information related to the user, generates a plurality of second feature vectors, each of the plurality of second feature vectors corresponding to one of the plurality of items of content based on the first metadata information related to the plurality of items of content, and generate a recommendation including at least one item of content to the user, among the plurality of items of content, based on a result of a comparison between first feature vector for the user and the plurality of second feature vectors of the plurality of items of content.