Regional Profiling Platform for Geotag Data Aggregation
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Solution Overview
Problem
Current technologies lack a platform to aggregate and analyze higher-order attributes from geotagged data received from multiple users, preventing the creation of collective regional profiles and missed marketing and recommendation opportunities.
Innovation Solution
A regional profiling platform that receives and analyzes geotag data to generate collective profiles of geographic regions, identifying, aggregating, and organizing attributes to create recommendations and services for users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If geotag data is collected from multiple users, then the quantity and diversity of geographic information increases, but the complexity of aggregating and analyzing this data increases
Solution Approach 1:
The patent segments geotag data into distinct components including location coordinates, timestamps, user profiles, and attribute tags. This segmentation allows the system to process and aggregate different types of data independently, managing complexity by organizing raw geotag inputs into structured categories that can be analyzed separately and recombined for regional profiling.
Solution Approach 2:
The patent introduces an intermediary processing layer between data collection and analysis that standardizes and normalizes geotag data from multiple sources. This intermediary component translates diverse user-generated geotags into a unified format, enabling aggregation without requiring complex custom processing for each data source.
2Adaptability or versatility
If collective regional profiles are generated from user data, then personalized recommendations can be provided, but user privacy concerns increase
Solution Approach 1:
The patent extracts and separates personally identifiable information from the core geographic and behavioral data. By removing direct user identifiers and working with anonymized aggregates, the system can generate personalized recommendations based on location patterns and preferences without storing or processing sensitive personal information, thus reducing privacy risks while maintaining personalization capability.
3Speed
If real-time analysis of geotag data is performed, then timely recommendations can be provided, but computational resources and energy consumption increase
Solution Approach 1:
The patent implements periodic batch processing of geotag data instead of continuous real-time analysis. The system aggregates data over defined time periods and processes regional profiles at intervals, which reduces computational load and energy consumption compared to continuous analysis, while still providing timely recommendations within each processing cycle.
Solution Approach 2:
The patent performs preliminary aggregation and filtering of geotag data as it is collected, preprocessing the data into ready-to-analyze formats before regional profile generation. This preliminary action reduces the computational complexity of subsequent analysis steps, enabling faster processing with lower energy requirements while maintaining response timeliness.
Data Source
AI summary
Implementations relate to systems and methods for aggregating and presenting data related to geographic locations. Geotag data related to geographic locations and associated features or attributes can be collected to build a regional profile characterizing a set of locations within the region. Geotag data related to the constituent locations, such as user ratings or popularity ranks for restaurants, shops, parks, or other features, sites, or attractions, can be combined to generate a profile of characteristics of locations in the region. The platform can generate recommendations of locations to transmit to the user of a mobile device, based for instance on the location of the device in the region as reported by GPS or other location service and the regional profile. Geotag data can include audio data analyzed using region-specific terms, and user recommendations can be presented via dynamic menus based on regional profiles, user preferences or other criteria.