Spatial Temporal Analysis for Mobile Device Address Association
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Solution Overview
Problem
Existing technologies struggle to accurately link mobile devices with residential addresses to enable enhanced services and targeted advertising, as current methods rely on mobile carrier data or lack precise location data.
Innovation Solution
The system employs spatial and temporal analysis using location data from various sources, including mobile ad networks and sensors in public places, to build location profiles that can be linked to residential addresses, allowing for the association of mobile devices with these addresses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If mobile carrier data is used to link mobile devices with residential addresses, then the association can be established, but the accuracy and precision of location data is insufficient
Solution Approach 1:
The patent segments the location data collection process into multiple independent components: sensor data from public places, mobile ad network data, and device location data are collected separately and then integrated. This segmentation allows each data source to be optimized independently while maintaining overall association reliability.
Solution Approach 2:
The patent merges multiple data sources including sensor data from public places, mobile ad network location data, and device location data to create a comprehensive location profile. This combination compensates for the limitations of individual data sources and improves both precision and reliability of device-address association.
2Measurement precision
If spatial and temporal analysis is performed using multiple data sources, then location profiles can be built with higher accuracy, but the system complexity increases
Solution Approach 1:
The patent creates a universal location profile system that can process and integrate multiple types of location data from different sources (sensors, ad networks, devices). This multi-functional approach allows the same system infrastructure to handle diverse data types, reducing overall system complexity despite the multiple data sources.
Solution Approach 2:
The patent introduces a data processing intermediary layer that standardizes and normalizes location data from various sources before integration. This intermediary component simplifies the complexity by providing a统一 interface for data ingestion and processing, making the system more manageable despite handling multiple data sources.
3Productivity
If mobile device identifiers are collected and stored for association, then targeted advertising can be achieved, but privacy concerns and data security risks increase
Solution Approach 1:
The patent creates anonymized copies of location data and device identifiers that preserve the utility for advertising targeting while removing personally identifiable information. These copied datasets can be used for marketing purposes without exposing actual user identities, thus reducing privacy risks while maintaining productivity.
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.