Augmented User Profile Generation for Social Networking Systems
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Social networking systems often incompletely reflect user characteristics due to differing demographic information and interactions across multiple platforms, leading to ineffective content targeting.
Innovation Solution
The generation of an augmented user profile that combines information from multiple social networking systems, comparing user profiles to identify similarities and selecting content based on these similarities for more tailored presentations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If user profile information is maintained by a single social networking system, then the system complexity is low, but the user characteristic representation is incomplete
Solution Approach 1:
The patent combines user profile information from multiple social networking systems into a unified augmented user profile. The system retrieves user profiles from additional social networking systems, compares characteristics across profiles, and merges matching profiles to create a comprehensive augmented user profile that includes demographic information, interests, and interaction data from all sources.
Solution Approach 2:
The augmented user profile serves multiple functions: it represents user characteristics comprehensively for content selection, maintains compatibility with existing single-system profiles, and enables cross-platform user identification. The system can selectively include or exclude information from additional social networking systems based on matching criteria, providing flexible multi-functionality.
2Measurement precision
If user profile information from multiple social networking systems is combined, then the user characteristic representation is complete, but the system complexity increases
Solution Approach 1:
The patent segments the profile matching process into distinct steps: retrieving user profiles from additional social networking systems, comparing characteristics between profiles, determining matches based on similarity thresholds, and combining matched profiles. This segmentation reduces complexity by breaking down the overall task into manageable, sequential operations.
Solution Approach 2:
The system performs preliminary actions by pre-comparing user profile characteristics across social networking systems before content selection is needed. The augmented user profile is generated in advance and stored, so that when content selection is required, the system can directly use the pre-computed augmented profile without performing complex comparisons at that moment.
3Reliability
If content selection is based on single social networking system information, then the processing speed is fast, but the content relevance is low
Solution Approach 1:
The system generates augmented user profiles in advance by comparing and combining user profile information from multiple social networking systems. This pre-processing ensures that when content selection is needed, the system can quickly query the already-computed augmented profile without performing time-consuming cross-system comparisons at the moment of content delivery.
Data Source
AI summary
A social networking system generates an augmented user profile for a user. The augmented user profile includes information from user profiles maintained by additional social networking systems that correspond to the user of the social networking system. For example, user profiles maintained by additional social networking systems having a threshold similarity to a user profile maintained by the social networking system are identified, and characteristics of the user in the identified user profiles are included in the augmented user profile along with characteristics from the user profile maintained by the social networking system. Characteristics of the user from the augmented user profile are used to identify content, such as advertisements, for presentation to the user.