Samsung Electronics Co., Ltd.

Taeho Hwang

Heejin Kim

Jaehong Kim

Sehoon Kim

Jiyoung Kang

Jaehun Lee

Yunsu Lee

Jungho Park

Mirae Jeong

Hyonsok Lee

Sejin Kwak

Seungsoo Kang

Soohyung Kim

Sungmok Seo

Kiwon Choi

Junbeom Kim

Kimin Oh

Provided are an artificial intelligence (AI) system using a machine learning algorithm and an application of the AI system. A device for providing content based on a knowledge graph includes: a memory storing instructions; and a processor configured to execute the instructions to: obtain context information related to the device; obtain a first device knowledge graph of a user of the device by inputting the obtained context information to a first AI model for determining a relation between entities related to the user of the device; request, from a server, a server knowledge graph generated by the server; receive the server knowledge graph; obtain a second device knowledge graph of the user by inputting the obtained first device knowledge graph and the received server knowledge graph to a second AI model for extending the first device knowledge graph; and provide content based on the obtained second device knowledge graph.

System and method for providing content based on knowledge graph

A content recommendation is provided based on a knowledge graph using, for example, a processor and memory of a device. In some embodiments, sensors are used. The content recommendation efficiently makes user of the processor, memory and/or sensors. A knowledge graph is maintained at the device and another knowledge graph may be maintained at a server. The knowledge graph at the device is generated, for example, by obtaining log history information, generating a device knowledge graph, generating a pattern knowledge graph associated with a behavior pattern of a user, and/or updating the device knowledge graph by adding the pattern knowledge graph to the device knowledge graph. In some examples, the knowledge graph at the server is generated by a server, based on the pattern knowledge graph.

Method and apparatus for providing content based on knowledge graph

A server and a method for generating a user-advertisement (user-ad) matching list for online advertisement is provided. The method includes obtaining profile information and advertisement exposure history information of users exposed to a plurality of advertisements through an ad impression server, obtaining advertisement information of an advertisement to be delivered by an advertiser, identifying candidate users for the advertisement of the advertiser among the users, based on the profile information of the users, predicting an access time when the candidate users will access the ad impression server, selecting target users to be provided with the advertisement of the advertiser among the candidate users, based on the predicted access time, obtaining a preference of each target user for an advertisement product of the advertiser, and generating the user-ad matching list by matching the advertisement of the advertiser with the target users, based on the preference.

Method and apparatus for generating user-ad matching list for online advertisement

An artificial intelligence (AI) system that utilizes a machine learning algorithm, such as deep learning, etc. and an application of the AI system is provided. A method, performed by a server, of integrating and managing a plurality of databases (DBs) includes obtaining a plurality of knowledge graphs related to DBs generated from the plurality of DBs having different structures from one another, inputting the plurality of knowledge graphs related to DBs into a learning model related to DB for determining a correlation between data in the plurality of DBs, and obtaining a virtual integrated knowledge graph output from the learning model related to DB and including information about a correlation extracted from the plurality of knowledge graphs related to DBs.

System and method of integrating databases based on knowledge graph

An electronic device and a method for controlling the electronic device is provided. The electronic device includes a microphone, a memory configured to include at least one instruction, and a processor configured to execute the at least one instruction. The processor is configured to control the electronic device to perform voice recognition for an inquiry based on receiving input of a user inquiry through the microphone, and acquire a text for the inquiry, generate a plurality of inquiries for acquiring response data for the inquiry from a plurality of databases using a relation graph indicating a relation between the acquired text and data stored in the plurality of databases, acquire response data corresponding to each of the plurality of inquiries from each of the plurality of databases, and generate a response for the inquiry based on the response data acquired from each of the plurality of databases and output the response.

Electronic device and method for controlling the electronic device

Growing community of inventors

Suwon-si, South Korea

Taeho Hwang