18383643. ELECTRONIC DEVICE AND CONTROLLING METHOD OF ELECTRONIC DEVICE simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)
Contents
ELECTRONIC DEVICE AND CONTROLLING METHOD OF ELECTRONIC DEVICE
Organization Name
Inventor(s)
Seongmin Joe of Sunwon-si (KR)
Hyunwoo Chun of Sunwon-si (KR)
ELECTRONIC DEVICE AND CONTROLLING METHOD OF ELECTRONIC DEVICE - A simplified explanation of the abstract
This abstract first appeared for US patent application 18383643 titled 'ELECTRONIC DEVICE AND CONTROLLING METHOD OF ELECTRONIC DEVICE
Simplified Explanation
The abstract describes an electronic device that uses a neural network model to predict target devices for advertising content based on user data and device usage history.
- The device includes a communicator, memory storing information on the neural network model, and processors to acquire user data and feature values from external devices.
- The feature values are input into the neural network model to determine probabilities of external devices being related to a label.
- Target devices for advertising content are identified based on the probabilities for each time zone, and the information is transmitted to these target devices.
---
- Potential Applications
- Targeted advertising based on user behavior and device usage.
- Personalized content delivery to users across different time zones.
- Problems Solved
- Efficient targeting of advertising content to specific devices.
- Maximizing the impact of advertising campaigns by reaching the right audience.
- Benefits
- Improved user engagement with relevant advertising content.
- Optimization of advertising strategies based on user data and behavior.
- Increased effectiveness of marketing campaigns through targeted delivery.
Original Abstract Submitted
An electronic device includes a communicator; at least one memory storing information associated with a neural network model for predicting a target device for each time zone from a plurality of time zones for an advertising content; and at least one processor configured to: acquire, from a plurality of external devices, data corresponding to a use history of a user; acquire, based on the data corresponding to the use history, a plurality of feature values corresponding to a respective external device from the plurality of external devices by allocation of each feature value of the plurality of feature values to a respective time zone from the plurality of time zones, input the plurality of feature values into the neural network model, and acquire score information for a plurality of probabilities that the plurality of external devices are related to a label by allocation of each probability of the plurality of probabilities to a respective time zone from the plurality of time zones, identify, based on the score information, a plurality of target devices for providing the advertising content for each of the plurality of time zones, and control the communicator to transmit information on the advertising content to the plurality of target devices.
