Menu Information Association System for Collaborative Data Management
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Solution Overview
Problem
Current systems for generating and managing menu representations are inefficient, as they often rely on single sources for information and lack effective methods for distributing the workload of generating and updating menu content, leading to inefficiencies in data management and user interaction.
Innovation Solution
A process that involves generating entries for menu items, receiving and associating information with these entries, and transmitting representations of these items, utilizing database tables and user interfaces to facilitate collaboration and updates, allowing multiple sources to contribute to menu generation and enabling user interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single source is used for menu information, then data management is simplified, but workload distribution and collaboration efficiency deteriorate
Solution Approach 1:
The patent segments menu information into multiple independent data sources (restaurants, menu providers, users) that can contribute separately. Each source provides specific menu items or information types, allowing parallel workload distribution while maintaining organized data management through the system's structured approach to handling multiple sources.
Solution Approach 2:
The system creates a universal platform that handles multiple functions: receiving menu information from various sources, storing it in standardized formats, enabling user interactions, and distributing menu data across different channels. This multi-functional approach allows efficient collaboration among multiple sources without proportionally increasing management complexity.
2Productivity
If multiple sources contribute to menu generation, then collaboration efficiency improves, but data management complexity increases
Solution Approach 1:
The patent introduces an intermediary system that receives menu information from multiple sources, standardizes the data formats, and manages the associations between menu items and information. This intermediary layer handles the complexity of multi-source data integration, allowing sources to collaborate efficiently without each pair needing to manage their own data relationships.
Solution Approach 2:
The system transforms menu information from various sources into standardized parameters and data structures. By converting diverse input formats into uniform parameters, the system enables efficient collaboration among multiple sources while keeping data management complexity manageable through consistent data representation.
3Reliability
If menu information is dynamically updated, then menu representation accuracy improves, but system complexity increases
Solution Approach 1:
The patent implements feedback mechanisms where user interactions (views, purchases, ratings) continuously inform menu information updates. This feedback loop ensures menu representations remain accurate and current by incorporating real-world usage data, while the automated nature of the feedback processing keeps system complexity manageable.
Solution Approach 2:
The system performs preliminary actions by pre-establishing data structures, association rules, and update protocols before dynamic updates occur. This preparation work enables accurate and frequent menu updates without proportionally increasing system complexity, as the framework for handling changes is already in place.
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.


