Nec corporation (20240127081). ORDER PREDICTION DEVICE, ORDER PREDICTION METHOD, LEARNING DEVICE, LEARNING METHOD, AND RECORDING MEDIUM simplified abstract
Contents
- 1 ORDER PREDICTION DEVICE, ORDER PREDICTION METHOD, LEARNING DEVICE, LEARNING METHOD, AND RECORDING MEDIUM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 ORDER PREDICTION DEVICE, ORDER PREDICTION METHOD, LEARNING DEVICE, LEARNING METHOD, AND RECORDING MEDIUM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
ORDER PREDICTION DEVICE, ORDER PREDICTION METHOD, LEARNING DEVICE, LEARNING METHOD, AND RECORDING MEDIUM
Organization Name
Inventor(s)
ORDER PREDICTION DEVICE, ORDER PREDICTION METHOD, LEARNING DEVICE, LEARNING METHOD, AND RECORDING MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240127081 titled 'ORDER PREDICTION DEVICE, ORDER PREDICTION METHOD, LEARNING DEVICE, LEARNING METHOD, AND RECORDING MEDIUM
Simplified Explanation
The patent application describes a device that predicts the degree of interest and order probability of data items in event data using an attention mechanism based on the event data.
- Acquisition means acquires event data related to an event.
- Prediction means predicts the degree of interest for each data item in the event data.
- Output means outputs the prediction result, including the degree of interest and order probability.
Potential Applications
This technology could be applied in recommendation systems, personalized advertising, and content curation platforms.
Problems Solved
This technology helps in predicting user preferences and interests, improving user experience, and increasing engagement with content.
Benefits
The device can provide more personalized recommendations, increase user engagement, and enhance the overall user experience.
Potential Commercial Applications
"Enhancing User Engagement and Personalization in Content Platforms"
Possible Prior Art
There may be prior art related to recommendation systems, attention mechanisms in machine learning, and personalized advertising platforms.
Unanswered Questions
How does the device handle real-time event data processing?
The patent application does not provide details on the real-time processing capabilities of the device.
What is the scalability of the device for handling large volumes of event data?
The scalability of the device for processing a large amount of event data is not discussed in the patent application.
Original Abstract Submitted
in an order prediction device, an acquisition means acquires event data related to an event. a prediction means predicts a degree of interest with respect to each data item included in the event data and an order prediction by using an attention mechanism based on the event data. an output means outputs, as a prediction result, the degree of interest and an order probability.
