Widget Management Service for Message Data Extraction
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Solution Overview
Problem
Traditional email readers and message clients fail to effectively extract and display the most relevant data from electronic messages, leading to information overload and inefficient communication.
Innovation Solution
A system and method that analyze electronic messages to identify clusters of similar messages, extract unique content, and generate widgets in a graphical user interface, allowing users to create and display relevant data in a customizable format.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional email readers display all email content, then complete information is provided, but information overload occurs and usability deteriorates
Solution Approach 1:
The patent extracts specific data elements (sender, recipient, subject, date, attachments) from email messages and presents them in a structured widget format. This extraction principle allows the system to display only the most relevant information upfront, reducing information overload while maintaining accessibility to complete message content when needed.
Solution Approach 2:
The email message is segmented into distinct data elements (header information, body content, attachments) that can be independently displayed and manipulated. The widget displays segmented key information while allowing users to access the full message content separately, resolving the contradiction between information completeness and usability.
2Productivity
If data extraction algorithms are simple, then processing speed is fast, but extraction precision deteriorates
Solution Approach 1:
The system employs multiple extraction algorithms with varying complexity parameters. Based on the email format and content type, the system dynamically selects or combines algorithms (regex-based extraction, NLP-based extraction, template matching) to optimize the balance between processing speed and extraction precision for different message types.
Solution Approach 2:
The patent introduces an intermediary layer of data normalization and validation between the extraction algorithms and the widget display. This intermediary processes extracted data through multiple verification steps, ensuring high precision while maintaining efficient processing by caching results and using progressive extraction strategies.
3Loss of information
If widgets display detailed information, then data completeness is improved, but visual clarity deteriorates
Solution Approach 1:
The widget employs dynamic display characteristics where information is presented in a hierarchical, collapsible format. Key summary information is displayed prominently in a compact visual format, while detailed information is available through expandable sections or on-demand access, allowing the widget to adapt its information density based on user interaction and available screen space.
Solution Approach 2:
The patent transitions information display from a two-dimensional text-heavy format to a multi-dimensional widget interface that combines visual elements (icons, color coding, layout structures) with hierarchical information organization. This dimensional transformation preserves data completeness while significantly improving visual clarity through spatial and visual hierarchy.
Data Source
AI summary
A widget management service may analyze messages (e.g., email messages or other electronic messages) to determine clusters of similar messages, such as messages based on a common template or otherwise having high levels of similarity to one another. Within these message clusters, the widget management service may analyze messages to determine unique content (e.g., content that differs across messages) for extraction and presentation in widgets in the graphical user interface.