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公开(公告)号：US20230134600A1
公开(公告)日：2023-05-04
申请号：US17434166
申请日：2021-07-20
发明人： Keunseob KIM , Kiljong KIM , Hongyoon KIM , Jongsoo YOON , Byunguk CHOI
IPC分类号： G06F40/30 , G06F16/338
摘要： Provided are a server and a method for generating data for cooking food. The method may include: obtaining text indicating a food recipe; applying the text to each of a plurality of natural language understanding (NLU) models for analyzing the text; identifying a plurality of semantic elements included in the text based on at least one semantic element that is output from each of the plurality of NLU models; generating first machine readable recipe (MRR) data structured to include a plurality of cooking device control parameters, by using the plurality of semantic elements; obtaining log data of a user related to a device control action performed by the user to operate a cooking device; and generating second MRR data personalized to the user, by updating the plurality of cooking device control parameters, based on the log data.
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公开(公告)号：US20220179661A1
公开(公告)日：2022-06-09
申请号：US17438218
申请日：2020-01-07
发明人： Keunseob KIM , Jeongdong HWANG , Jaeman PARK
摘要： A method for providing an artificial intelligence service based on a serverless platform is provided. The method includes the operations of determining a container into which artificial intelligence models are to be loaded, on the basis of features of a plurality of containers and features of a plurality of artificial intelligence models registered in a model store, loading the artificial intelligence models into the container, upon receiving a request for an artificial intelligence service from a client, obtaining a function corresponding to the requested artificial intelligence service from a database, determining the container in which the artificial intelligence model corresponding to the requested artificial intelligence service is loaded, by executing the obtained function on the container, acquiring data with regard to the request, from the artificial intelligence model loaded in the container, and transferring the acquired data to a client.
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