Menu Information Generation via Collaborative Database Segmentation
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Solution Overview
Problem
Current systems for generating and managing menu representations are inefficient, as they often require manual input and lack collaborative editing capabilities, leading to outdated information and increased administrative burdens.
Innovation Solution
A computer-based process that generates menu entries and associations through database tables, allowing multiple sources to contribute information and enable collaborative editing, with user interfaces for selecting and associating items and information, facilitating dynamic updates and distribution of menu generation tasks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual input methods are used for generating menu representations, then information accuracy can be controlled, but the productivity and efficiency of menu creation are reduced
Solution Approach 1:
The system automatically copies menu information from external sources (websites, documents, images) into structured database representations. This copying process eliminates manual typing while maintaining accuracy through automated data extraction and association with menu items.
Solution Approach 2:
The menu representation system performs self-service by automatically generating menu structures, associating items with information, and updating representations without requiring manual intervention. The system serves itself by crawling sources, parsing data, and populating database tables autonomously.
2Ease of operation
If centralized menu management is used, then information consistency is maintained, but the complexity of updates and administrative burden increase
Solution Approach 1:
The menu management system is segmented into independent database tables (menu items table, menu representations table, menu information table) that can be updated separately. This segmentation allows individual menu components to be modified without affecting the entire system, reducing administrative complexity while maintaining consistency through relational integrity.
Solution Approach 2:
The database structure is designed with universal tables that can accommodate multiple menu types and information sources. The same table structures serve different menu representations and can be populated from various external sources, simplifying the management process while handling diverse menu requirements.
3Reliability
If collaborative editing capabilities are added, then information accuracy and completeness improve, but the system complexity increases
Solution Approach 1:
The system implements feedback mechanisms where multiple users can contribute information, and the database structure tracks associations between menu items and information sources. This feedback loop allows continuous verification and improvement of menu accuracy through multiple contributions while maintaining structured data integrity.
Solution Approach 2:
The database tables serve as intermediaries between multiple information sources and the final menu representations. The structured tables mediate the collaboration process by organizing contributions from multiple users and sources into a consistent format, reducing the complexity of direct peer-to-peer collaboration management.
Data Source
AI summary
Methods and Apparatus related to generating representations of information. The information may include menu information for merchants such as restaurants. Referring to menus, methods may include receiving potential information for a first menu and receiving indications of associations of the information with the first menu and/or any number of additional menus. Information and/or associations may later be updated by a desired set of users.