Customizable Data Management System Personalization
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Solution Overview
Problem
Current systems fail to provide a simple and efficient method for users to personalize their online experience by selecting and managing data relevant to their individual preferences, including information from both the user and their online social networking community.
Innovation Solution
A computer-implemented method and system that creates a data structure for efficient data processing, allowing tailored visual representations at user interfaces by tracking user interactions and associations between users and item providers, enabling customized data sets to be presented based on these interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a system stores and processes vast quantities of data from multiple item providers to enable personalization, then the ability to provide tailored visual representations improves, but the system complexity and data processing requirements increase
Solution Approach 1:
The patent segments the data management system into distinct components: a global database storing item and provider data, user profiles storing preference data, and a data processing system that queries and assembles personalized data sets. This segmentation allows each component to be independently managed and optimized, reducing overall system complexity while maintaining personalization capability.
Solution Approach 2:
The patent introduces an intermediary data processing system that acts as a mediator between the global database and user interfaces. This intermediary handles the complex tasks of querying, filtering, and assembling personalized data sets, shielding the user interface from underlying system complexity while enabling rich personalization.
2Loss of information
If the system tracks user interactions and associations to create customized data sets, then the relevance of presented information improves, but the data processing time and computational resources increase
Solution Approach 1:
The patent implements preliminary action by pre-storing user preference data in user profiles and maintaining structured associations between users, items, and providers in the global database. When a user interacts with the system, the data processing system can quickly query pre-organized data and assemble personalized data sets without performing complex real-time analysis, significantly reducing processing time while maintaining high information relevance.
3Adaptability or versatility
If the system synthesizes data from user preferences and social networking community preferences, then the richness of the online experience improves, but the quantity of data to be managed increases
Solution Approach 1:
The patent merges user-specific preference data with data from their social networking community by querying the global database for both individual user profiles and associated community members' preferences. The data processing system combines these data sources to create enriched personalized data sets that reflect both individual and collective preferences, providing a richer online experience while managing data quantity through efficient querying and aggregation.
Data Source
AI summary
The invention relates to methods, systems, and computer-readable media related to a system having a plurality of users, designed to display a user-customized subset of item and/or provider information to the user.