Nec corporation (20240119259). TRAINING DATA GENERATING SYSTEM, METHOD, COMPUTER-READABLE MEDIUM, MODEL GENERATING SYSTEM, AND LOG GENERATING SYSTEM simplified abstract
TRAINING DATA GENERATING SYSTEM, METHOD, COMPUTER-READABLE MEDIUM, MODEL GENERATING SYSTEM, AND LOG GENERATING SYSTEM
Organization Name
Inventor(s)
Shigeyoshi Shima of Tokyo (JP)
TRAINING DATA GENERATING SYSTEM, METHOD, COMPUTER-READABLE MEDIUM, MODEL GENERATING SYSTEM, AND LOG GENERATING SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240119259 titled 'TRAINING DATA GENERATING SYSTEM, METHOD, COMPUTER-READABLE MEDIUM, MODEL GENERATING SYSTEM, AND LOG GENERATING SYSTEM
Simplified Explanation
The patent application describes a system for generating training data for a target application based on existing applications with similar features.
- The system includes:
- An existing tag information acquiring unit that identifies existing applications and acquires tag information indicating their features.
- A target tag information acquiring unit that acquires tag information for a target application.
- A selecting unit that calculates the similarity between the target tag information and existing tag information to select a similar application.
- A training data generating unit that generates training data for the target application based on the selected similar application.
Potential Applications: - This technology could be used in the development of personalized recommendation systems for various applications. - It could also be applied in the field of user behavior analysis for improving user experience in software applications.
Problems Solved: - The system helps in efficiently generating training data for a target application by leveraging existing applications with similar features. - It streamlines the process of creating user operation models by utilizing data from existing applications.
Benefits: - Improved accuracy in generating training data for target applications. - Time and cost savings in the development of user operation models.
Potential Commercial Applications:
- Enhancing Personalized Recommendation Systems with Similar Application Data
Possible Prior Art: - Prior art may include systems that generate training data based on historical user data or existing application features.
Unanswered Questions:
- How does the system handle cases where the target application has unique features not present in any existing applications?
- The system may need to incorporate additional algorithms to address such scenarios.
- What measures are in place to ensure the privacy and security of user data used in generating training data?
- The patent application should include details on data protection protocols and compliance with privacy regulations.
Original Abstract Submitted
a training data generating system includes an existing tag information acquiring unit, a target tag information acquiring unit, a selecting unit, and a training data generating unit. the existing tag information acquiring unit identifies, as an existing application, an application for which training data for a user operation model has already been generated based on a user operation history and, for each existing application, acquires tag information indicating a feature of the application as existing tag information. the target tag information acquiring unit acquires tag information of a target application as target tag information. the selecting unit calculates a degree of similarity between the target tag information and each piece of the existing tag information and, based on the degree of similarity, selects a similar application from the existing applications. the training data generating unit generates training data for the target application from training data for the similar application.
