Contextual Data Subscription System for Unified Monitoring
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Solution Overview
Problem
Users face challenges in efficiently searching and monitoring contextually-relevant data due to overwhelming amounts of information across multiple sources, requiring manual tracking and switching between applications, which degrades the user experience.
Innovation Solution
A system and method that determines subscription configuration settings for users based on interaction with an application interface, groups users by attributes, and recommends configuration settings for contextually-relevant data, allowing for inline or adjacent presentation of information within the user interface, reducing the need to switch applications and providing timely, relevant data through visualizations and alerts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If users manually search for information using search engines, then they can access information, but the process is time-consuming and frustrating due to not knowing optimal search terms
Solution Approach 1:
The system automatically monitors data sources and delivers relevant information to users without requiring manual search operations. The system serves itself by autonomously identifying, filtering, and presenting contextually-relevant data based on user profiles and preferences, eliminating the need for users to formulate search queries.
Solution Approach 2:
The system performs preliminary actions by continuously monitoring data sources in advance and pre-processing information before users need it. User profiles and preferences are established beforehand, allowing the system to automatically retrieve and present relevant information without waiting for user search requests.
2Quantity of substance
If users manually track and monitor data across multiple sources, then they can access comprehensive information, but the process is tedious and degrades user experience
Solution Approach 1:
The system merges multiple data sources into a unified monitoring framework. Instead of requiring users to manually track data across separate applications and sources, the system consolidates monitoring of multiple sources through a single integrated platform, presenting aggregated contextually-relevant information.
Solution Approach 2:
The system provides universal monitoring capabilities that work across multiple data sources and contexts. A single system can monitor diverse data types from various sources simultaneously, adapting to different user needs and contexts through configurable profiles and automated filtering.
3Adaptability or versatility
If users switch between applications to access different data sources, then they can find needed information, but it increases processing time and reduces efficiency
Solution Approach 1:
The system acts as an intermediary layer between users and multiple data sources. Instead of users directly switching between applications to access different data sources, the intermediary system provides a unified interface that retrieves information from various sources on demand, eliminating the need for users to navigate between multiple applications.
4Reliability
If the system provides comprehensive data monitoring, then users receive complete information, but the system complexity increases
Solution Approach 1:
The system segments the complex data monitoring function into manageable components: user profile management, data source connectivity modules, automated filtering logic, and presentation layers. Each component handles specific aspects of monitoring independently, making the overall complex system more modular and maintainable while achieving comprehensive monitoring coverage.
Data Source
AI summary
A method of managing information monitoring for contextually-relevant data, by determining a plurality of subscription configuration settings of one or more data of a plurality of data sources with respect to a plurality of users, each subscription configuration setting being based on an interaction with an application interface by a respective user among the plurality of users; determining a plurality of groups of users among the plurality of users, each group of users being determined based on one or more attributes of each user of the group or respective subscription configuration settings of each user of the group; determining, for a targeted user among the plurality of users an affiliated group among the plurality of groups of users; and determining a recommended subscription configuration setting for the targeted user of one or more data of the plurality of data source based on the affiliated group.


