公开(公告)号：US20130081073A1

公开(公告)日：2013-03-28

申请号：US13629057

申请日：2012-09-27

Applicant: Samsung Electronics Co., Ltd.

Inventor： Sangwook KANG ,  Donghun Park ,  Wonho Ryu

IPC: H04N21/442

CPC classification number: H04N21/4316 ,  H04N21/44222 ,  H04N21/4784 ,  H04N21/6582 ,  H04N21/812

Abstract: Provided are a method and apparatus for providing and obtaining a reward service linked with media contents. The method includes transmitting reward service information linked with the media contents to a user device, receiving check-in information authenticating that certain media contents are being played, determining whether a provision condition of the reward service is satisfied, and granting a use right with respect to the reward service to the user device when the provision condition of the reward service is satisfied. Herein, user utility with respect to media contents are improved and user information of the media contents are collected.

Abstract translation: 提供了一种用于提供和获得与媒体内容相关联的奖励服务的方法和装置。 所述方法包括将与媒体内容相关联的奖励服务信息发送到用户设备，接收认证某些媒体内容正在播放的登记信息，确定是否满足奖励服务的提供条件，以及授予使用权 当满足奖励服务的提供条件时，向用户设备的奖励服务。 这里，改善了媒体内容的用户效用，并收集了媒体内容的用户信息。

公开(公告)号：US20160162585A1

公开(公告)日：2016-06-09

申请号：US14963041

申请日：2015-12-08

Applicant: Samsung Electronics Co., Ltd.

Inventor： Lyesuk Lee ,  Seokho Yoon ,  Haenam Yang ,  Wonho Ryu

IPC: G06F17/30

CPC classification number: G06F16/285 ,  G06F16/9566 ,  G06F16/958

Abstract: An electronic device, according to various embodiments of the present disclosure, include: a communication module configured to receive a keyword list that includes a topic keyword and one or more related keywords concerning the topic keyword from another electronic device; and a processor configured to create a topic channel by using the keyword list, collect social media data by using the one or more related keywords, extract related content by analyzing the social media data, and provide the social media data and the related content to the other electronic device through the topic channel.

Abstract translation: 根据本公开的各种实施例的电子设备包括：通信模块，被配置为从另一电子设备接收包括主题关键字和关于主题关键字的一个或多个相关关键字的关键字列表; 以及处理器，被配置为通过使用关键词列表来创建主题频道，通过使用一个或多个相关关键字收集社交媒体数据，通过分析社交媒体数据来提取相关内容，并将社交媒体数据和相关内容提供给 其他电子设备通过主题通道。

公开(公告)号：US10331704B2

公开(公告)日：2019-06-25

申请号：US14963041

申请日：2015-12-08

Applicant: Samsung Electronics Co., Ltd.

Inventor： Lyesuk Lee ,  Seokho Yoon ,  Haenam Yang ,  Wonho Ryu

IPC: G06F16/28 ,  G06F16/958 ,  G06F16/955

Abstract: An electronic device, according to various embodiments of the present disclosure, include: a communication module configured to receive a keyword list that includes a topic keyword and one or more related keywords concerning the topic keyword from another electronic device; and a processor configured to create a topic channel by using the keyword list, collect social media data by using the one or more related keywords, extract related content by analyzing the social media data, and provide the social media data and the related content to the other electronic device through the topic channel.

公开(公告)号：US11670295B2

公开(公告)日：2023-06-06

申请号：US17111734

申请日：2020-12-04

Applicant: Samsung Electronics Co., Ltd.

Inventor： Seohyun Back ,  Yonghyun Ryu ,  Wonho Ryu ,  Haejun Lee ,  Cheolseung Jung ,  Sai Chetan ,  Jiyeon Hong

IPC: G10L15/22 ,  G06T13/00 ,  G10L15/16 ,  G06N3/08 ,  G10L15/18

CPC classification number: G10L15/22 ,  G06N3/08 ,  G06T13/00 ,  G10L15/16 ,  G10L15/1815 ,  G10L2015/223

Abstract: A method of improving output content through iterative generation is provided. The method includes receiving a natural language input, obtaining user intention information based on the natural language input by using a natural language understanding (NLU) model, setting a target area in base content based on a first user input, determining input content based on the user intention information or a second user input, generating output content related to the base content based on the input content, the target area, and the user intention information by using a neural network (NN) model, generating a caption for the output content by using an image captioning model, calculating similarity between text of the natural language input and the generated output content, and iterating generation of the output content based on the similarity.