Intelligent Information Sharing System Semantic Platform Selection
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Solution Overview
Problem
Current methods for sharing user-created content lack efficiency in determining the most appropriate platforms based on the content's semantic concepts and user history, leading to suboptimal distribution.
Innovation Solution
A system that extracts semantic concepts from user-created content and correlates them with historical data to suggest the most suitable messaging platforms for sharing, allowing users to select and transmit content to those platforms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated platform selection is implemented, then productivity is improved, but device complexity increases
Solution Approach 1:
The system performs self-service by automatically analyzing user behavior patterns and content characteristics to determine optimal sharing platforms without requiring manual user input. The system extracts features from content and correlates them with historical data to autonomously select platforms, reducing the need for complex user interfaces and manual configuration.
Solution Approach 2:
The patent introduces an intermediary component that acts as a bridge between user content and multiple messaging platforms. This intermediary system processes content analysis, applies correlation algorithms with historical data, and translates results into platform-specific sharing actions, simplifying the overall system architecture by centralizing the decision-making logic.
2Measurement precision
If semantic analysis is performed on user content, then information sharing accuracy is improved, but loss of time increases
Solution Approach 1:
The system extracts only the most relevant semantic features and metadata from user content rather than performing complete analysis. By identifying and extracting key characteristics that correlate with platform preferences based on historical data, the system reduces processing time while maintaining selection accuracy.
Solution Approach 2:
The system performs preliminary analysis by pre-processing and categorizing content features before platform selection. Historical data correlations are established in advance, allowing the system to quickly match current content against pre-computed patterns, thereby reducing real-time processing requirements.
Data Source
AI summary
Embodiments of the present invention disclose a method, computer program product, and system for information sharing. The method may receive user created content from a user. It may then extract information, having one or more types of information from the user created content. At least one type of the extracted information is semantic concepts. It may then determine one or more messaging platforms on which to share the user created content. It may determine that based on at least a correlation between: the extracted information; and historical data correlating the extracted information with what messaging platforms the user created content was sent to. I may notify the user of the one or more determined messaging platforms. It may receive a selection from the user of one or more determined messaging platforms. It may transmit the user created content to the selected messaging platform or platforms.