Activity Level Heat Map Generation via Multi-Source Data Aggregation
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Solution Overview
Problem
Users face difficulties in determining active or popular locations in a region due to the lack of real-time data aggregation and reliable sources, making it hard to plan visits according to preferences, especially when considering factors like weather, traffic, and local events.
Innovation Solution
A network-based system that collects and converts transaction, environmental, merchant, and social media data into a user-friendly heat map, allowing users to filter and visualize activity levels in a geographical region, enabling informed travel planning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If real-time data aggregation from multiple sources is implemented, then the accuracy and timeliness of activity level information is improved, but the system complexity and data processing requirements increase
Solution Approach 1:
The system segments the complex data aggregation task by dividing it into multiple independent data sources (transaction data, environmental data, social media data, historical data) that are retrieved separately and then integrated. This modular approach improves measurement accuracy while managing system complexity through structured data organization.
Solution Approach 2:
The patent introduces an intermediary processing layer that collects data from multiple disparate sources, processes and integrates them, and presents unified activity level information to users. This intermediary system manages the complexity of multi-source data aggregation while delivering accurate activity measurements.
2Reliability
If comprehensive data from multiple sources is collected, then the reliability of activity level determination is improved, but the time required for data gathering and processing increases
Solution Approach 1:
The system performs preliminary actions by pre-retrieving and storing historical data, environmental data, and merchant data before they are needed for activity level calculation. This preparation reduces the time required for real-time processing while maintaining reliable activity determinations through comprehensive data collection.
Solution Approach 2:
The patent implements continuous data collection and processing operations that maintain ongoing activity level monitoring. By continuously gathering and processing data from multiple sources, the system ensures reliable activity determination without requiring intensive batch processing, thus reducing time loss.
3Measurement precision
If sophisticated analysis of multiple factors is performed, then the accuracy of predicting active locations is improved, but the computational resources and processing time required increase
Solution Approach 1:
The system applies partial action by selectively analyzing the most relevant data factors for activity level determination rather than processing all available data with equal depth. This approach maintains high prediction accuracy while reducing computational resource consumption by focusing analysis on key indicators.
Solution Approach 2:
The patent utilizes parameter changes by transforming multiple data sources into a standardized activity level parameter that can be directly compared and visualized. This parameter transformation simplifies the computational analysis of diverse factors while preserving prediction accuracy through meaningful data normalization.
4Adaptability or versatility
If real-time activity data is provided to users, then the usefulness for travel planning is improved, but the difficulty of gathering and processing data from multiple sources increases
Solution Approach 1:
The system implements universality by creating a multi-functional platform that gathers data from various sources (transactions, environment, social media, history) and provides multiple useful outputs (activity levels, heat maps, location predictions) through a single integrated system. This approach enhances travel planning usefulness while managing data gathering complexity through unified processing.
Solution Approach 2:
The patent employs an intermediary system that handles the complexity of gathering and processing data from multiple sources, then presents simplified, actionable information to users for travel planning. This intermediary layer shields users from data gathering complexity while delivering versatile, real-time activity information.
Data Source
AI summary
An active locations (AL) computing device is described herein. The AL computing device is programmed to receive, from a user computing device, a selection of a geographical region. The AL computing device may retrieve transaction data from a payment processing network, environmental data representing environmental conditions at the selected geographical region, merchant data representing characteristics of one or more merchants located within the selected geographical region, social media data including events occurring within the selected geographical region, and historical data. The AL computing device is further programmed to determine activity levels for the selected geographical region based on one or more of the transaction data, environmental data, merchant data, social media data, and historical data. The AL computing device may convert the determined activity levels into an interactive heat map, apply a filter to the heat map, and transmit the heat map to the user computing device.