Universal Research Framework for Multi-Subject Comparison
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Solution Overview
Problem
Current research methods are inefficient and time-consuming, particularly in comparing and contrasting multiple subjects across various contexts, as they lack effective online solutions for collating and analyzing information from the internet, restricting users to offline methods and limiting comparisons to similar or single manufacturer products.
Innovation Solution
A computer-based system and method utilizing a Compare-Contrast Console, Configure-Filter-Search Console, and Custom-Research Console, integrated within a Universal Research Framework, enabling users to compare and contrast multiple subjects across predefined and dynamic contexts, search for relevant attributes, and conduct customizable research, using interactive interfaces and data sources like sponsored and open content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If offline methods are used for comparison-contrast research, then users can conduct research without internet dependency, but the process becomes time-consuming and inefficient
Solution Approach 1:
The patent replaces manual offline research methods with an automated computer-based system that performs comparison-contrast analysis. The system automatically retrieves data from multiple internet sources, processes information, and generates comparison reports, substituting the mechanical manual process with an automated computational system.
Solution Approach 2:
The patent introduces an intermediary computer-based system that acts as a mediator between the user and multiple data sources. This intermediary automatically collects, processes, and compares information from various internet sources, eliminating the need for users to manually access and compile data from multiple sources.
2Productivity
If online solutions are used for comparison research, then research efficiency improves, but current solutions are limited to similar or single manufacturer products
Solution Approach 1:
The patent creates a universal comparison system that can handle multiple types of subjects beyond just products. The system is designed to compare any entities that have definable attributes, making it applicable to services, concepts, processes, and other non-product subjects, thus achieving multi-functionality and broad adaptability.
Solution Approach 2:
The patent implements dynamic attribute selection where users can define custom attributes for comparison based on their specific needs. The system adapts to different comparison scenarios by allowing flexible configuration of comparison criteria, making the comparison scope dynamic rather than fixed to predetermined product attributes.
3Measurement precision
If manual compilation of subject-attribute values is performed, then data accuracy can be verified, but the process is tedious and time-consuming
Solution Approach 1:
The patent replaces manual data compilation with automated computer-based retrieval and processing. The system automatically extracts attribute values from multiple internet sources, processes the data, and presents compiled results, substituting the tedious manual process with efficient automated computational operations.
Solution Approach 2:
The patent implements continuous automated data retrieval and compilation from multiple sources simultaneously. Rather than manual batch processing, the system continuously collects and processes data in the background, providing updated comparison results without interrupting the user workflow.
4Loss of information
If multiple data sources are searched simultaneously, then research comprehensiveness improves, but system complexity increases
Solution Approach 1:
The patent merges multiple data sources and comparison functions into a single integrated computer-based system. The system combines data retrieval from multiple internet sources, attribute processing, and comparison analysis into one unified platform, reducing the complexity users would face if they manually coordinated multiple sources.
Solution Approach 2:
The patent introduces an intermediary system that manages the complexity of multiple data sources. This intermediary handles the coordination, retrieval, and integration of data from various sources, shielding users from the underlying complexity while ensuring comprehensive information gathering.
Data Source
AI summary
A method and system for an internet-based online research solution through the comparison and contrasting of a potentially infinite number of subjects having defined attributes within predefined as well as dynamic subject contexts; a method and system for searching a potentially infinite number of subjects against a customized set of attribute-value configurations to arrive at an appropriate set of subjects for further research; a method and system for an online research solution by which the user efficiently researches online using a highly customized search, collation, and compilation of comparison-contrast information; a Universal Research Framework that may be embedded within any externally managed information system and which enables the above three methods to be performed within the specific system for research.