Local Device Aggregation for User Profile Association
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Solution Overview
Problem
Existing techniques for associating multiple devices with a user profile are inaccurate and inefficient, particularly due to the complexity of processing massive data and the need for significant remote server resources, which is exacerbated by the increasing number and types of devices generating disparate data points.
Innovation Solution
Devices are associated with a user profile based on consistent proximity and pairing, with local devices handling the association and data compilation, reducing the reliance on remote servers and enhancing efficiency by aggregating and sharing information locally before sending it to a remote collection server.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If remote servers process device association using probabilistic matching techniques, then device grouping can be achieved, but system complexity and processing requirements increase significantly
Solution Approach 1:
The patent introduces local collection devices as intermediaries between user devices and remote servers. These local devices aggregate device information and perform preliminary processing locally, reducing the complexity burden on remote servers while maintaining association accuracy through coordinated processing across the distributed system.
Solution Approach 2:
The patent segments the device association processing into multiple components: local collection devices gather and aggregate device information, local processing performs initial analysis, and remote servers handle final coordination. This segmentation distributes system complexity across multiple levels while preserving overall association accuracy.
2Measurement precision
If remote servers process massive device data, then comprehensive device association can be achieved, but data storage and processing capabilities required become prohibitive
Solution Approach 1:
The patent extracts data aggregation and preliminary processing functions from remote servers and places them at local collection devices. This extraction reduces the volume of raw data that must be transmitted and processed centrally, while local devices maintain accurate device associations through distributed processing of extracted device information.
Solution Approach 2:
The patent implements preliminary data aggregation and processing at local collection devices before data reaches remote servers. This preliminary action reduces the data volume requiring remote processing while ensuring accurate device associations are established through advance local analysis of device proximity and pairing information.
3Productivity
If local devices aggregate and share information, then processing efficiency improves, but local device coordination complexity increases
Solution Approach 1:
The patent merges multiple device data streams at local collection devices, combining information from various user devices into unified device profiles. This merging improves processing efficiency by consolidating data locally, while the collection device manages coordination complexity through centralized local aggregation rather than requiring complex peer-to-peer coordination among all devices.
Data Source
AI summary
Systems and methods for accurately and efficiently associating devices with a user profile and compiling use information from such devices are disclosed. Devices are associated with the same user profile based on identifying consistent proximity of the devices to one another, e.g., by identifying that the devices are frequently used in proximate locations during a time period or by identifying that the devices are paired with one another. Local devices, rather than a remote server, are used to more efficiently associate devices with the user profile and/or compile use information from such devices. Devices that are associated with the same user profile as a local collection device send use information to the local collection device. The information from all of the devices associated with the user profile is then shared locally with other devices associated with that user profile and sent to a remote collection server.