Automatic data labeling method and related computer system for automatic data labeling
The automatic data labeling method and system address inefficiencies in user behavior analysis by accurately marking user behavior patterns in time-series datasets, enhancing data collection efficiency and user experience optimization.
TWI932430BActive Publication Date: 2026-07-11INVENTEC CORP
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Patent Information
- Application Number
- TW114140451
- Authority / Receiving Office
- TW · TW
- Patent Type
- Patents
- Current Assignee / Owner
- Filing Date
- 2025-10-20
- Publication Date
- 2026-07-11
- Estimated Expiration
- 2045-10-19
AI Technical Summary
Technical Problem
Existing methods for user behavior analysis, such as in laptop performance monitoring, struggle to accurately determine the starting and ending points of user behavior, leading to inefficient data collection and prolonged observation periods, which hampers effective user experience optimization.
Method used
An automatic data labeling method and system that automatically labels time-series datasets based on specified user behavior characteristics, determining optimal labeling combinations and disorder ratings to efficiently mark user behavior patterns.
Benefits of technology
Enables efficient and automated labeling of large datasets, allowing for precise analysis of user behavior patterns, reducing observation times and improving user experience optimization.
✦ Generated by Eureka AI based on patent content.
Abstract
An automatic data labeling method includes inputting a time series dataset; performing a subject labeling procedure on each value of the time series dataset based on at least one behavioral characteristic of a specified user behavior; and determining an optimal labeling combination corresponding to each value of the time series dataset and a disorder rating value based on a number of scenarios.
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