Identity Data Segmentation for Multi-Device User Linking
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems face challenges in determining and managing relationships between multiple user identities and device identities across various devices and platforms, particularly in social gaming and social media environments, where users often have multiple accounts and shared device access.
Innovation Solution
A computing arrangement that receives and processes user identity data and device identity data to determine connection relationships, dividing and managing identity data sets based on connection distances and types, and adding new identity data while linking associated accounts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users register multiple accounts for the same game application across different devices and platforms, then users can access the game on various devices, but it becomes difficult to determine which identities should be associated with each other
Solution Approach 1:
The system segments identity data into distinct sets, where each set represents a group of related identities. The processor divides a first stored set of identity data into two or more sets based on connection relationships, creating manageable segments that can be independently processed and analyzed to determine identity associations.
Solution Approach 2:
The system introduces an intermediary computing arrangement that acts as a mediator between multiple user identities and device identities. This intermediary processes connection relationships and determines associations between identities, reducing the complexity burden on individual devices and platforms.
2Reliability
If the system stores and processes multiple identity data sets with connection relationships, then it can determine and manage identity associations, but the computational complexity and data processing requirements increase
Solution Approach 1:
By segmenting identity data into multiple organized sets with defined connection relationships, the system manages complexity through structured division. Each set contains identities with specific connection types, allowing for more reliable association determination while keeping processing requirements manageable through organized data structures.
Solution Approach 2:
The system changes parameters by dividing identity data sets based on connection relationships and connection distances. This parameter-based organization transforms complex unstructured data into structured sets that can be processed more efficiently, improving reliability without proportionally increasing complexity.
3Measurement precision
If the system divides identity data sets based on connection relationships, then it can accurately separate different user identities, but the processing time and computational resources increase
Solution Approach 1:
The system performs preliminary organization of identity data into sets with defined connection relationships before processing. By pre-structuring the data with connection information already established, the system reduces the computational burden during actual identity separation operations, achieving precise separation with reduced processing time.
Solution Approach 2:
Segmentation of identity data into connection-based sets enables parallel processing and more efficient algorithms. By dividing the overall identity management task into smaller set-based units, the system achieves precise identity separation while reducing total processing time through improved computational efficiency.
Data Source
AI summary
A computing arrangement receives data. The data is from computer apps running on computer devices. The data has user identity data and associated device identity data. A memory stores sets of identity data. A respective set of identity data is associated with a user identity. Sets of identity data comprise at least one user identity data, at least one device entity data and information defining a connection relationship between the identity data of the respective set of identity data. At least one processor determines in response to received user identity data and device identity data that a first stored set of identity data is to be divided into two or more sets of user identity data. At least two sets of user identity data are associated with different user identities. The set of identity data is divided in dependence on the information defining the connection relationships.