Customizable Data Management System for Personalized User Profiles
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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 customized data set for users by tracking interactions and preferences, using a global database and tracking database to associate user and item provider data objects, allowing for tailored visual representations on graphical user interfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a system collects and processes vast quantities of data from multiple item providers and users to enable personalization, then the user experience becomes more personalized and relevant, but the system complexity and data management burden increase substantially
Solution Approach 1:
The patent segments the data management system into distinct modular components: global database for item/provider data, tracking database for user interactions, and customized data sets for individual users. This segmentation allows each component to handle specific tasks independently, reducing overall system complexity while maintaining personalization capabilities.
Solution Approach 2:
The patent introduces intermediary elements such as the tracking database that mediates between user interactions and the global database, and customized data sets that serve as intermediaries between raw data and personalized presentations. These intermediaries simplify data flow and management complexity by providing structured layers between system components.
2Measurement precision
If the system tracks and processes data from social networking communities to enrich user profiles, then the personalization accuracy improves, but the data processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary actions by pre-establishing the global database with item and provider data, and pre-configuring the tracking database structure before user interactions occur. This preliminary setup reduces real-time processing requirements when actual user tracking and personalization occur.
Solution Approach 2:
The system enables self-service mechanisms where users automatically generate their own customized data sets through their interactions, without requiring intensive real-time processing for each user action. The tracking database automatically captures and processes interaction data, reducing computational burden on central systems.
3Productivity
If the system presents customized data sets based on user preferences and interactions, then user engagement increases, but the data selection and filtering complexity increases
Solution Approach 1:
The patent applies local quality by creating customized data sets tailored to each user's specific preferences, interactions, and profile characteristics. Each user receives a unique customized data set with data selection and filtering criteria optimized for their individual needs, rather than applying uniform rules to all users. This approach increases user engagement while managing complexity through user-specific rather than system-wide customization.
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.