Mobile Device Location Data Clustering for Targeted Advertising
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for processing mobile device location data are insufficient for research or marketing purposes, as they lack organization and association with relevant content, such as advertising, and fail to facilitate predictions about user travel behaviors.
Innovation Solution
A computer-implemented method that collects, filters, and partitions mobile device location data into clusters based on accuracy, age, and proximity to predetermined locations, correlating these clusters with relevant content and user categories to provide location-related data and advertisements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If location data is collected and stored in basic form (geographic coordinate and time stamp), then data collection is simple, but the data is insufficient for research or marketing purposes
Solution Approach 1:
The patent segments location data into multiple clusters based on geographic proximity and temporal patterns. By dividing the raw location data into distinct clusters (e.g., home location, work location, frequent visit locations), the system transforms basic coordinate-time stamp data into organized, meaningful data structures that enable research and marketing applications without requiring complex data collection methods
Solution Approach 2:
The system performs preliminary processing of location data by automatically determining clusters, calculating distances, and identifying patterns before the data is needed for research or marketing. This preliminary organization of data into meaningful groups eliminates the need for complex data collection and preparation processes while ensuring data sufficiency for subsequent analysis
2Loss of information
If location data is organized into clusters and associated with content, then data utility for advertising and predictions is improved, but data processing complexity increases
Solution Approach 1:
The patent applies segmentation by dividing location data into distinct clusters based on geographic and temporal characteristics. Each cluster represents a specific location or area with associated patterns, making the data more utility for advertising and behavior prediction while maintaining manageable processing complexity through systematic organization
Solution Approach 2:
The system introduces an intermediary processing layer that automatically organizes raw location data into clusters and associates them with content without requiring direct complex analysis. This intermediary structure simplifies the relationship between raw data and applications, enabling advertising and predictions while reducing processing complexity
3Measurement precision
If location data is filtered by age and accuracy, then data quality is improved, but data volume is reduced
Solution Approach 1:
The patent extracts and removes low-quality data points that fail to meet predefined criteria for accuracy and recency. By systematically identifying and excluding inaccurate or outdated location data, the system improves data quality while maintaining an adequate volume of high-quality data for analysis through the clustering process
Data Source
AI summary
A computer-implemented method for processing mobile device location data is provided. Location data is filtered based on age and accuracy or precision of location coordinates. Location data is partitioned based on the location coordinates into a plurality of clusters including a plurality of location data instances. The plurality of clusters are filtered based on a number of data instances in a particular cluster and a period of time over which data instances of the particular data cluster are generated. A distance is determined from a location coordinate corresponding to the data instances of one or more of the plurality of clusters to a particular predetermined location, and the one or more of the plurality of clusters are correlated with the particular predetermined location in response to the distance being less than a predetermined distance. The invention further provides a location data processing system.