Geographic Data Authenticity via Cross-Device Activity Correlation
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Solution Overview
Problem
Traditional advertisement systems are susceptible to fraudulent geographic data in media requests, which can artificially increase the value of advertisements by misrepresenting locations, leading to imprecise or false location information.
Innovation Solution
A system and method that analyzes media requests by correlating geographic data with user activity across devices to evaluate the authenticity of the geographic information, using kinematic and spatial distribution characteristics to classify requests and determine the authenticity of the data, thereby identifying and removing or fulfilling media requests based on probabilistic values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If applications provide imprecise or fraudulent location data to increase advertisement value, then the perceived value of media requests increases, but the reliability of geographic data deteriorates
Solution Approach 1:
The system implements feedback by continuously monitoring user activity across multiple devices and comparing it against declared geographic locations. When discrepancies are detected between actual user behavior patterns and reported locations, the system adjusts the authenticity scoring accordingly, creating a self-correcting mechanism that reduces fraudulent data impact over time
Solution Approach 2:
The patent introduces an intermediary authenticity evaluation system that acts as a mediator between media requests and advertisement delivery. This intermediary layer analyzes geographic data through multiple verification dimensions (device correlation, activity patterns, location consistency) before accepting or rejecting location information, preventing fraudulent data from directly impacting ad delivery decisions
2Measurement precision
If the system analyzes user activity across multiple devices to verify geographic data, then the authenticity evaluation improves, but the device complexity increases
Solution Approach 1:
The system applies universality by using a single cross-device tracking infrastructure that serves multiple verification purposes simultaneously. The same device correlation mechanisms used for fraud detection also support user behavior analysis, location pattern recognition, and authenticity scoring, eliminating the need for separate complex systems for each verification function
Solution Approach 2:
The patent employs parameter changes by dynamically adjusting verification thresholds and weighting factors based on observed patterns. The system modifies authentication parameters (such as location consistency thresholds and activity pattern weights) in response to changing fraud tactics, maintaining high measurement precision without requiring proportional increases in system complexity
Data Source
AI summary
A system and method for analyzing media requests and evaluating the authenticity of geographic data associated with the media requests. A mobile device may use media requests to retrieve media items that are displayed to a user. A media request may include geographic data with latitude and longitude information and entity data identifying a user, application, mobile device, or combination thereof. The system may analyze the geographic data to identify locations and may analyze the entity information to identify user activity. The user activity may be internet activity of an application running on another device (e.g., user's desktop). The system may then correlate the user activity (e.g., accessing a venue web site) with the geographic locations (e.g., venue locations) to evaluate the authenticity of the geographic data associated with the mobile requests.