Content Prediction Logic Embedding for Data Formatting
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Solution Overview
Problem
Current data processing systems are limited in their ability to predict and format complex data patterns, requiring users to expend significant time and effort for data management, and custom scripts or macros, which are not easily shareable or adaptable across users.
Innovation Solution
A computer-implemented method for embedding and importing content prediction instructions based on regular expression pattern analysis, allowing users to customize and share content prediction logic, including type-ahead, typo-fix, and custom grammar rules, within documents, enabling automatic data filling and formatting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If users manually input and edit data, then data can be correctly formatted, but significant time and effort are required
Solution Approach 1:
The system performs preliminary analysis of data patterns by examining existing data in the spreadsheet. It automatically identifies repetitive patterns and formats before the user completes data entry, so when the user continues entering data, the formatting is already prepared and applied, eliminating the need for manual formatting adjustments.
Solution Approach 2:
The spreadsheet system automatically analyzes the data structure and patterns without user intervention. It self-determines the appropriate format based on the data characteristics and applies formatting rules autonomously, allowing the system to serve itself rather than requiring the user to manually configure each formatting parameter.
2Adaptability or versatility
If users write macros to evaluate and modify data, then complex data formatting can be achieved, but significant design and scripting knowledge is required
Solution Approach 1:
The system introduces an intermediary layer between the user and the complex formatting logic. Instead of requiring users to write macros, the intermediary automatically analyzes data patterns and translates them into appropriate formatting rules. This intermediary handles the complexity of pattern recognition and format application, presenting only simple data entry tasks to the user.
Solution Approach 2:
The patent replaces the mechanical approach of writing and debugging macros with an automated intelligent system. The system uses pattern recognition algorithms to automatically determine formatting rules, substituting the need for manual programming with automated analysis and application of formatting based on detected data patterns.
3Adaptability or versatility
If custom scripts are created for data formatting, then specific formats can be implemented, but the scripts are not easily shared or adapted across users
Solution Approach 1:
The system creates universal formatting rules that can be automatically applied across different users and contexts. Instead of individual custom scripts for each user, the system develops generalized pattern recognition capabilities that work across the entire spreadsheet, allowing any user to benefit from the same intelligent formatting without requiring separate customizations.
Solution Approach 2:
The system automatically copies and applies detected patterns across the entire dataset and to other users' spreadsheets. When a formatting pattern is identified in one location, it is automatically copied and applied to similar data structures throughout the workbook and can be shared with other users, eliminating the need for each user to create their own custom scripts.
4Productivity
If simple content prediction is used, then basic patterns can be predicted, but complex repetitive actions cannot be deciphered
Solution Approach 1:
The system dynamically adapts its pattern recognition capabilities based on the complexity of the data. It starts with simple pattern detection for basic cases and automatically increases its analysis depth when complex repetitive patterns are detected. The system adjusts its behavior in real-time, switching between simple and complex analysis modes depending on the data characteristics.
Solution Approach 2:
The system continuously monitors the data being entered and provides feedback about detected patterns to the user. When complex patterns are identified, the system communicates this to the user and applies the appropriate formatting rules. This feedback loop allows the system to learn from user corrections and improve its pattern recognition accuracy over time.
Data Source
AI summary
A computer implemented method, apparatus, and computer usable program code for embedding and importing content prediction instructions. Content prediction instructions are customized. The content prediction instruction is part of content prediction logic. The prediction instruction is embedded in a document in response to receiving a user selection to embed the prediction instruction.