18360377. ELECTRONIC DEVICE AND COMPUTER READABLE STORAGE MEDIUM FOR CONTROL RECOMMENDATION simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)
ELECTRONIC DEVICE AND COMPUTER READABLE STORAGE MEDIUM FOR CONTROL RECOMMENDATION
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ELECTRONIC DEVICE AND COMPUTER READABLE STORAGE MEDIUM FOR CONTROL RECOMMENDATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18360377 titled 'ELECTRONIC DEVICE AND COMPUTER READABLE STORAGE MEDIUM FOR CONTROL RECOMMENDATION
Simplified Explanation
An electronic device is described in this patent application. The device has an interface, a memory, and a processor, and it is designed to provide control recommendations for an external electronic device using a learning model. The learning model uses a transformer to encode sequential control information about a user and generates a first output vector. This first output vector is then summarized using a query vector to produce a second output vector. The second output vector is further encoded using a transformer and summarized using time information.
- The electronic device includes an interface, memory, and processor.
- It uses a learning model to provide control recommendations for an external electronic device.
- The learning model encodes sequential control information about a user using a transformer.
- It generates a first output vector by summarizing the encoded sequential control information using a query vector.
- The first output vector is further encoded using a transformer.
- It is then summarized using time information to produce a second output vector.
Potential applications of this technology:
- Smart home automation systems
- Personalized recommendations for electronic devices
- Assistive technology for individuals with disabilities
Problems solved by this technology:
- Improving user experience by providing personalized control recommendations
- Enhancing the efficiency and effectiveness of electronic devices
- Simplifying the control interface for users
Benefits of this technology:
- Personalized control recommendations based on user behavior
- Improved user satisfaction and convenience
- Enhanced automation and efficiency in electronic devices
Original Abstract Submitted
An electronic device is provided. The electronic device includes an interface, a memory, and a processor and configured to provide a control recommendation of an external electronic device using a learning model. The learning model is configured to generate a first output vector by encoding sequential control information about a user using a transformer and summarizing the encoded sequential control information using a query vector, and output a second output vector by encoding the first output vector using a transformer and summarizing the encoded first output vector using time information.
