Credibility Scoring System with Hierarchical Visualization
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Solution Overview
Problem
Small businesses face challenges in obtaining a comprehensive and standardized view of their credibility due to the varied and distributed nature of credibility data from multiple sources, which is often non-standardized and qualitative, making it difficult to aggregate and interpret for effective decision-making.
Innovation Solution
A credibility scoring and reporting system that aggregates data from multiple sources, processes it to generate standardized credibility scores, and provides a holistic view through an interface portal with interactive tools for hierarchical visualization of credibility dimensions, allowing users to drill down for detailed insights and actionable improvements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If credibility data is aggregated from multiple distributed sources, then a comprehensive view of credibility is obtained, but the complexity of data processing and standardization increases
Solution Approach 1:
The patent introduces an intermediary processing layer that sits between multiple distributed credibility data sources and the user interface. This intermediary automatically aggregates, standardizes, and processes data from various sources (review sites, social media, business directories) into a unified credibility score, reducing the complexity exposed to users while maintaining comprehensive data collection.
Solution Approach 2:
The credibility assessment system is segmented into multiple independent modules, each responsible for collecting and processing data from specific sources. These modular segments can be independently configured and maintained, reducing overall system complexity while achieving comprehensive coverage through their coordinated operation.
2Loss of information
If detailed hierarchical credibility data is provided, then deeper insights are available, but the interface complexity increases
Solution Approach 1:
The interface employs dynamic visualization that adapts to user interactions. Users can dynamically drill down from high-level credibility summaries to detailed hierarchical data through interactive elements like expandable trees and clickable components. The interface remains simple by default but reveals complexity only when users actively seek deeper insights, maintaining ease of operation while providing detailed information on demand.
Solution Approach 2:
The patent adds an interactive temporal dimension to the interface, allowing users to navigate through different levels of detail over time through sequential interactions. Instead of presenting all complexity at once, the interface transitions users through dimensional layers of information (overview → category level → individual data points) based on their exploration needs.
3Measurement precision
If standardized credibility scores are generated, then comparability is improved, but the ability to capture nuanced qualitative data is reduced
Solution Approach 1:
The credibility assessment is segmented into multiple scoring dimensions (e.g., trustworthiness, expertise, authority) rather than using a single standardized score. Each dimension captures different aspects of qualitative credibility while maintaining standardization within its own scale, allowing both comparability and nuance preservation through multi-faceted measurement.
Solution Approach 2:
The patent creates a composite credibility representation that combines standardized numerical scores with preserved qualitative data elements. The final credibility assessment is a composite structure containing both quantifiable metrics for comparison and qualitative descriptors for nuance, integrating multiple data types into a unified but heterogeneous output.
Data Source
AI summary
Some embodiments provide a credibility system including an interface portal for presenting a holistic view of entity credibility. To provide the holistic view, the credibility system aggregates credibility data from multiple data sources. The aggregated credibility data is processed and ordered to present different dimensions of entity credibility, with each dimension graphically presented in the interface portal through an interactive credibility module. In some embodiments, the credibility data associated with each credibility module is processed to produce at least one value that quantifiably represents the credibility data. In some embodiments, the credibility data associated with each credibility module is hierarchically ordered to present the credibility data in a drill-down fashion with each hierarchical layer presenting more detailed credibility data for better understanding the credibility data presented in the preceding layer.