Automated Meta Tag Assignment for User Content
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Solution Overview
Problem
Existing information processing systems require manual assignment of meta tag information by users, which is inefficient and lacks automation for assigning relevant names to user content.
Innovation Solution
An information processing apparatus and method that includes a content search unit to find related content and a meta tag assignment unit to automatically set meta tag information based on the related content, using a server and user terminal to facilitate the process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual assignment of meta tag information by users is used, then accuracy of meta tag assignment is improved, but productivity and ease of operation deteriorate due to time-consuming manual intervention
Solution Approach 1:
The system enables self-service by automatically assigning meta tag information to content without requiring manual user intervention. The server autonomously analyzes uploaded content, extracts relevant metadata, and assigns appropriate tags, allowing the system to serve itself rather than relying on continuous user input.
Solution Approach 2:
The patent replaces the mechanical manual process of meta tag assignment with an automated information processing system. The server uses content analysis algorithms and data processing mechanisms to substitute the manual mechanical action of users typing or selecting meta tags, thereby increasing productivity while maintaining assignment quality.
2Measurement precision
If manual assignment of meta tag information by users is used, then accuracy of meta tag assignment is improved, but ease of operation deteriorates due to complex manual procedures
Solution Approach 1:
The system enables self-service by automatically assigning meta tag information to content without requiring manual user intervention. The server autonomously analyzes uploaded content, extracts relevant metadata, and assigns appropriate tags, allowing the system to serve itself rather than relying on continuous user input.
3Productivity
If automated meta tag assignment is implemented, then productivity and ease of operation are improved, but reliability deteriorates due to lack of manual verification
Solution Approach 1:
The system implements feedback mechanisms where the server analyzes user interactions with automatically assigned meta tags and uses this information to improve future assignments. The system learns from user behavior patterns, correction actions, and engagement metrics to refine its automated tagging accuracy over time, thereby maintaining reliability while preserving productivity benefits.
4Ease of operation
If automated meta tag assignment is implemented, then ease of operation is improved, but reliability deteriorates due to lack of manual verification
Solution Approach 1:
The system implements feedback mechanisms where the server analyzes user interactions with automatically assigned meta tags and uses this information to improve future assignments. The system learns from user behavior patterns, correction actions, and engagement metrics to refine its automated tagging accuracy over time, thereby maintaining reliability while preserving productivity benefits.
Data Source
AI summary
An information processing apparatus includes a content search unit that searches for related content from compared content; the related content is content related to reference content possessed by a user, and the compared content is content other than the reference content. The information processing apparatus also includes a meta tag assignment unit that sets meta tag information, which is a name of the reference content, according to the related content.