Location Analytics System for Anonymous User Profiling
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Solution Overview
Problem
Current systems for processing location-based data lack the ability to associate historical location records with demographic information, limiting their capacity to infer user profiles accurately without prior registration or user input.
Innovation Solution
A system and method for associating time/location data points with demographic profiles, allowing for the determination of user profiles by tracking historical data and demographic associations, which can be displayed in real-time, enabling the identification of user habits and behaviors without prior profiling information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If historical location data is collected and processed without prior user registration, then user profile accuracy is improved, but system complexity increases
Solution Approach 1:
The system performs self-service by automatically collecting location data from mobile devices and generating user profiles without requiring prior user registration or manual input. The system autonomously processes historical location records, associates them with demographic data, and creates profiles independently, eliminating the need for user intervention while maintaining profile accuracy.
Solution Approach 2:
The system performs preliminary actions by pre-collecting and storing historical location data before profile generation is needed. Location data is continuously gathered and archived in advance, allowing the system to quickly generate accurate profiles when needed without requiring users to register or provide information at the moment of profiling.
2Loss of information
If demographic data is associated with location data points, then user behavior inference capability is improved, but data processing requirements increase
Solution Approach 1:
The system segments the data processing task by first collecting location data points independently, then separately associating demographic data with each location point. This segmentation allows the system to process location data and demographic data in distinct stages, reducing the computational burden of processing all data simultaneously while maintaining the ability to make accurate user behavior inferences.
3Speed
If real-time display of profiled location data is implemented, then information delivery speed is improved, but system resource consumption increases
Solution Approach 1:
The system implements periodic action by updating the real-time display at intervals rather than continuously refreshing. Location data is collected and processed periodically, with profiled information displayed at regular intervals. This approach maintains information delivery speed by providing timely updates while reducing system resource consumption by avoiding constant data processing and display refreshes.
Data Source
AI summary
A system and method are provided for associating location data from one or more unique sources. The place and time of a unique location enabled device are associated with stored demographic information relating to the particular place and particular time. The place and time of the unique location enabled device are associated with a historical record of past locations and time of locations that the device has been. Based on the association of demographical information and historical information, the unique location enable device is assigned to one or more groups or tribes. The location of all members of the group or tribe can be aggregated and exported for further analysis or display, thereby showing all group or tribe members at a particular time and place.