User-Oriented Information Search System with Dynamic Queue Validation
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Solution Overview
Problem
Existing information gathering tools are task-oriented and not user-oriented, lacking configurability, adaptability to different business domains, and scalability, with limited recursion and high-level user targeting capabilities.
Innovation Solution
A system comprising a frontend and backend with an API/UI for user input of business domains and relevant information elements, utilizing information queue elements, database, and queue consumer elements for dynamic search and validation, enabling user-oriented information gathering and integration of multiple queue consumer elements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If information gathering tools are task-oriented with predefined tasks, then they can perform specific functions reliably, but they cannot be dynamically modified by users or adapted to different business domains
Solution Approach 1:
The system transforms static, predefined task configurations into dynamic, user-configurable search queries. Users can dynamically modify search parameters, business domains, and information element types through the frontend interface, allowing the system to adapt to different needs while maintaining reliable execution through the structured backend processing pipeline.
Solution Approach 2:
The patent creates a universal information gathering system that can handle multiple business domains and information element types through a common architecture. The backend system processes diverse query types uniformly, enabling the tool to serve multiple functions across different domains while maintaining consistent reliability through standardized processing workflows.
2Stability of the object's composition
If information gathering tools have fixed output definitions, then they can produce consistent results, but they lack configurable information space for input and output
Solution Approach 1:
The system enables dynamic configuration of information space through the frontend interface, where users can specify different business domains and information element types. The backend maintains stable processing by transforming these variable inputs into a standardized format suitable for the information queue and consumer elements, ensuring consistent processing regardless of input variability.
3Productivity
If information gathering tools lack recursion capability, then they can execute simple tasks quickly, but they cannot gain new information based on their output
Solution Approach 1:
The system implements feedback loops where the output of queue consumer elements is fed back into the information queue for further processing. This allows the system to iteratively refine and expand information gathering based on previous results, enabling recursive analysis while maintaining productivity through efficient backend processing and selective re-queuing of information elements.
4Device complexity
If information gathering tools are not scalable, then they can maintain simple architecture, but they cannot integrate other tools and capabilities effectively
Solution Approach 1:
The system segments the information gathering functionality into distinct modular components: frontend system for user interaction, backend system for processing, information queue elements for data management, and queue consumer elements for execution. This segmentation allows each component to remain relatively simple while the overall system achieves high scalability and integration capability through well-defined interfaces between modules.
Solution Approach 2:
The standardized backend architecture with information queues and consumer elements creates a universal interface that can integrate multiple tools and capabilities. Different queue consumer elements can process various information types through the same backend infrastructure, enabling scalable integration of new tools without increasing overall system complexity.
Data Source
AI summary
A method for user-oriented information search and information gathering using a backend system and a frontend system includes: providing a search query element to the frontend system; generating, initializing, or instantiating an information queue element related to at least one type of relevant information element associated with the search query element; feeding the content of the information queue element to at least one queue consumer element related to the information queue element, wherein potentially relevant information elements are gathered or searched by the at least one queue consumer element related to the information queue element; and feeding the potentially relevant information elements to a processing element. The processing element, by using information stored in a database element, performs a validation on the potentially relevant information elements to obtain relevant information elements.