公开(公告)号：US11768233B2

公开(公告)日：2023-09-26

申请号：US17421156

申请日：2019-12-17

申请人： Samsung Electronics Co., Ltd.

发明人： Yuwon Lee ,  Hwangki Min ,  Shunghyun Choi ,  Doosuk Kang ,  Seungnyun Kim

IPC分类号： G06V10/40 ,  G01R29/08 ,  G06F18/21 ,  G06F18/22

CPC分类号： G01R29/0814 ,  G01R29/0871 ,  G06F18/21 ,  G06F18/22

摘要： A method by which an electronic device interworks with an external device may be disclosed, the method comprising the operations of: obtaining an EM signal from the external device; extracting feature data by passing the obtained EM signal through a feature extraction model; receiving information related to the external device; generating registration information on the basis of the extracted feature data and the information related to the external device; and storing the generated registration information in a database of a memory, wherein the operation of receiving the information related to the external device provides an input interface for inputting information related to the external device, or shows at least one piece of pre-stored information related to the external device. In addition, other various embodiments identified through the specification are also possible.

公开(公告)号：US11681756B2

公开(公告)日：2023-06-20

申请号：US16944761

申请日：2020-07-31

申请人： Samsung Electronics Co., Ltd.

发明人： Yuwon Lee ,  Hwangki Min ,  Sungmin Rhee ,  Shunghyun Choi

IPC分类号： G06F16/9032 ,  G06F16/9038 ,  G06F16/906 ,  G06F40/30

CPC分类号： G06F16/90332 ,  G06F16/906 ,  G06F16/9038 ,  G06F40/30

摘要： An electronic device includes a memory configured to store a plurality of types of user data, and a processor configured to be operatively connected to the memory, wherein the processor is configured to generate an embedding vector through text embedding using first text data which is included in the user data and is related to content of the user data for each type of the user data; calculate a weight for the embedding vector using information which is included in the user data and is related to usability of the user data for each type of the user data; when a query is input, generate a query vector through the text embedding using second text data included in the query; and quantify user interest in the query for each type of the user data based on the embedding vector, the weight for the embedding vector, and the query vector.