Customized Graphical User Interface for Eligibility-Based Product Ranking
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Solution Overview
Problem
Existing digital object origination processes often lead to users obtaining unsuitable products due to eligibility issues and lack of personalized recommendations based on user needs and resources.
Innovation Solution
A computing system that generates customizable graphical user interfaces to analyze user data, identify eligible entity objects, and rank them based on user attributes and resource data, displaying the highest-ranked objects prominently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users apply for entity products without personalized recommendations, then users can access a wide range of products, but users may obtain unsuitable products due to eligibility issues and lack of personalized matching
Solution Approach 1:
The system performs preliminary analysis of user data, attributes, and resources before presenting product options. Eligibility assessment and product matching are conducted in advance, so users only see products they are eligible for and that match their needs, preventing the problem of applying for unsuitable products.
Solution Approach 2:
The patent introduces an intermediary processing layer between user data and product recommendations. This intermediary system analyzes user attributes, resources, and product requirements to generate personalized recommendations, acting as a mediator that ensures both product suitability and eligibility verification.
2Adaptability or versatility
If the system displays multiple ranked entity objects, then users receive personalized recommendations, but the graphical user interface complexity increases
Solution Approach 1:
The system applies local quality by differentiating the display treatment of different entity objects based on their ranking. The highest-ranked object receives prominent featuring with enhanced visual properties, while other objects are displayed with standard or reduced prominence. This creates a hierarchical visual structure that provides personalization without overwhelming interface complexity.
Solution Approach 2:
The patent employs asymmetry in the graphical user interface by featuring the highest-ranked entity object differently from other objects. The featured object receives asymmetric treatment through enhanced sizing, positioning, or visual emphasis, creating a clear visual hierarchy that simplifies user decision-making while maintaining personalization capabilities.
3Measurement precision
If the system analyzes user data and ranks entity objects, then product recommendations are optimized, but data processing time increases
Solution Approach 1:
The system performs preliminary data analysis and eligibility assessment before generating product recommendations. By pre-processing user data, attributes, and resources, the system prepares matching criteria in advance, reducing the time required for real-time recommendation generation while maintaining high accuracy.
Solution Approach 2:
The patent implements partial action by focusing data analysis on the most relevant user attributes and entity object characteristics. Rather than analyzing all possible data points, the system identifies and processes only the critical factors needed for accurate matching, achieving high recommendation accuracy with reduced processing time.
Data Source
AI summary
Systems and methods receive control signal(s) representing a UI input provided via an actionable GUI input component depicted via a GUI of a computer screen, the UI input indicating the user's need for an entity object, accessible via an entity, to be personalized for the user. Stored user data of the user stored to data storage location(s) is accessed that includes both attribute data associated with the user and resource data associated with a resource currently possessed by the user. Data analysis is performed on entity objects each having object attributes, the data analysis including evaluating the object attributes relative stored user data, identifying entity objects available to the user, and ranking the entity objects. Interactive UI input components associated with entity object content are generated and display, via the GUI, is initiated, the entity object content including a selection of ranked entity objects available to the user.