Spatial Temporal Analysis for Mobile Device Address Association
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Solution Overview
Problem
Current technologies fail to accurately link mobile devices to individual or household addresses for enhanced services, as existing databases are typically keyed by name and address, limiting the delivery of targeted services and advertising.
Innovation Solution
The system employs spatial and temporal analysis using location data from mobile devices to associate them with residential addresses, creating enhanced services and social networks, and anonymizes data to protect privacy, allowing for targeted advertising and service delivery without relying on mobile carrier data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If databases are keyed by name and address only, then data storage is simple, but the ability to link mobile devices to individual addresses is lost
Solution Approach 1:
The patent adds a spatial dimension to database queries by introducing geographic coordinates (latitude, longitude) as a new indexing dimension. This allows the system to link mobile devices to addresses through spatial relationships rather than relying solely on traditional name-address keys, thereby improving adaptability while managing complexity through structured spatial indexing.
Solution Approach 2:
The patent introduces an intermediary spatial indexing layer that bridges mobile device location data and traditional address-based databases. This intermediary structure enables the system to associate mobile devices with addresses without directly modifying the core database structure, thus improving versatility while containing complexity growth.
2Productivity
If location data is collected and analyzed to associate mobile devices with addresses, then targeted advertising and services can be delivered, but privacy concerns arise
Solution Approach 1:
The patent extracts only the essential spatial information (geographic coordinates and address associations) needed for targeted advertising, while excluding personally identifiable information from the analysis pipeline. This extraction approach enables marketing efficiency improvements while minimizing privacy risks by removing sensitive data elements.
Solution Approach 2:
The patent creates anonymized copies of location data that preserve spatial relationships and demographic patterns necessary for targeted advertising, while the original sensitive data remains protected. These synthetic or aggregated copies enable marketing analytics without exposing individual privacy.
3Measurement precision
If spatial and temporal analysis is performed on location data, then accurate device-address association is achieved, but data processing time increases
Solution Approach 1:
The patent performs preliminary spatial indexing and address geocoding operations in advance, creating pre-computed spatial relationships between addresses and coordinates. This preliminary action stores structured spatial data that can be quickly queried during device association, thereby achieving high accuracy without real-time processing delays.
Solution Approach 2:
The patent transforms location data from raw coordinate pairs into structured spatial indices with predefined accuracy thresholds and temporal windows. By changing the parameter representation from continuous coordinates to discrete spatial bins with associated metadata, the system achieves accurate device-address association while reducing computational complexity and processing time.
Data Source
AI summary
Various embodiments of the present technology generally relate to data delivery. More specifically, some embodiments of the present technology relate to systems and methods for using spatial and temporal analysis to associate data sources with mobile devices. The delivery of data to support a wide variety of services for and about mobile devices that are based on data stored in corporate, commercial, and government databases which is not currently linked to individual mobile devices. Some embodiments allow advertisers to better target their ads to relevant target audiences with greater accuracy.