Tag Distribution Mapping With Privacy-Preserving Choropleth Views
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Solution Overview
Problem
Existing data visualization systems fail to effectively depict the distribution of message requests containing specific tags across geographic regions while maintaining user privacy.
Innovation Solution
A visualization system that analyzes media content for tags, generates choropleth maps to show tag distribution, and maintains geo-fences to track tag-related message requests, while preserving user privacy by omitting personal data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a visualization system tracks message requests containing specific tags across geographic regions, then the distribution visualization becomes clear and useful for publishers, but user privacy is compromised through revelation of personal data
Solution Approach 1:
The patent extracts only the essential information needed for visualization (tag data and aggregated geographic distribution) while leaving out personally identifiable information. The system separates useful campaign tracking data from harmful personal identifiers, presenting only the aggregated spatial pattern of tag usage without revealing individual user locations or identities.
Solution Approach 2:
The patent merges multiple individual message request data points into a single aggregated choropleth map visualization. By combining individual tag occurrences across many users into consolidated geographic region shading, the system preserves the overall distribution pattern while eliminating individual privacy concerns through data aggregation.
2Measurement precision
If detailed location data is collected for each message request, then geographic distribution accuracy improves, but system complexity and data processing requirements increase
Solution Approach 1:
The patent segments the continuous geographic space into discrete choropleth map regions (administrative divisions like counties or states). By dividing the geographic area into predefined segments, the system simplifies data processing while maintaining sufficient geographic precision for campaign analysis, avoiding the need to process and visualize every individual coordinate point.
Solution Approach 2:
The patent transforms detailed location data (precise coordinates) into a different parameter representation (aggregated counts per geographic region). This parameter change from continuous spatial coordinates to discrete regional statistics reduces data complexity while preserving the essential geographic distribution information needed for visualization.
Data Source
AI summary
In various embodiments described herein, a visualization system receives message requests from client devices, wherein the message requests comprise at least location data that identifies a location of a client device, and media content, wherein the media content includes at least one of image data, audio data, and video data. In response to receiving the message requests that comprise the media content, the visualization system analyzes and parses the media content to detect one or more tags embedded within the media content. In response to detecting the tag, the visualization system identifies a campaign or account referenced by or associated with the tag.Based on the identification of the campaign based on the tag within the media content, the visualization system determines a distribution of the campaign based on the location data from the message request.