Social Network User Characteristic Accuracy Verification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Social networking systems face inaccuracies in user characteristics, such as age, which affect content selection and presentation, leading to irrelevant content being shown to users and reducing user interaction and revenue for entities providing content.
Innovation Solution
The system determines the accuracy of asserted user characteristics by analyzing the distribution of ages among connected users, clustering users based on similar characteristics, and verifying ages through trusted third-party sources to improve content selection accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the social networking system uses user-asserted characteristics for content selection, then the system can operate with simple user-provided data, but the accuracy of content selection deteriorates due to inaccurate user assertions
Solution Approach 1:
The patent introduces a trusted third-party verification system as an intermediary between the user and the social networking system. This mediator verifies user characteristics (such as age) and provides certified information to the system, resolving the contradiction by maintaining data simplicity while improving accuracy through external validation.
Solution Approach 2:
The patent implements preliminary verification of user characteristics before content selection occurs. By pre- validating user attributes through trusted sources and storing verified information, the system ensures accurate content matching without requiring complex real-time verification, thus maintaining operational simplicity while improving measurement precision.
2Measurement precision
If the social networking system verifies user characteristics through trusted third parties, then the accuracy of content selection improves, but the complexity of the system increases
Solution Approach 1:
The patent segments the verification process into distinct components: user assertion, third-party verification, and system storage. By dividing the complex verification task into manageable segments handled by different entities, the system achieves high measurement precision without centralizing all complexity in one place, thus reducing overall system complexity.
Solution Approach 2:
The patent enables the verification system to operate autonomously through pre-established trusted third-party relationships. Once verification channels are set up, the system automatically validates user characteristics without requiring manual intervention, reducing operational complexity while maintaining high accuracy in characteristic verification.
3Measurement precision
If the social networking system clusters users based on distributed characteristics, then the accuracy of determining user characteristics improves, but the computational processing time increases
Solution Approach 1:
The patent performs preliminary clustering of users based on verified characteristics and pre-computes distribution patterns. By preparing cluster assignments and characteristic distributions in advance, the system reduces real-time computational requirements, thus improving measurement precision without excessive time loss during actual content selection operations.
Solution Approach 2:
The patent applies clustering and distribution analysis locally to relevant user groups rather than globally to all users. By focusing computational resources on local clusters of users with similar characteristics, the system achieves high accuracy in characteristic determination for target users while minimizing overall computational processing time.
Data Source
AI summary
A social networking system maintains characteristics with its users, with various characteristics, such as age, specified by the users (i.e., “asserted characteristics”). The social networking system selects content for a user based at least in part on the characteristics associated with the user. To account for potential inaccuracies in an asserted age of a user, the social networking system clusters users based on ages of other users connected to users. The online system receives verified ages for users in a cluster from a trusted third party system that maintains more accurate characteristics for users than the social networking system. By comparing the asserted ages for users in the cluster to the verified ages for users in the cluster, the social networking system determines an accuracy of the asserted ages for users in the cluster. The accuracy may be used when selecting content for the users.