Social Network Profile Creation Using Friend Post Data
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Solution Overview
Problem
Current user profile generation in social networks is limited by user-provided information, being one-sided and unreliable, and struggles with incomplete profiles due to infrequent posting from users.
Innovation Solution
A method that collects and combines user profile information with data from social network posts by friends, using facial image recognition to derive additional attributes, creating a more comprehensive and reliable user profile.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If user profile is generated based on direct user-provided information and user posts, then the profile creation process is simple, but the profile is not comprehensive enough
Solution Approach 1:
The patent merges multiple information sources including user-provided information, user posts, and third-party posts about the user to create a comprehensive profile. This combining approach ensures that even users who rarely post can have complete profiles by incorporating information from others who post about them.
Solution Approach 2:
The patent introduces third-party posts as an intermediary information source. These posts from other users about the target user serve as mediators to fill information gaps when direct user input is insufficient, thereby improving profile completeness without requiring the user to actively provide all information.
2Device complexity
If user profile is generated based on user-posted activities, then the process is straightforward, but the profile is not reliable enough due to one-sided information
Solution Approach 1:
The patent combines user-posted activities with third-party posts about the user to create a multi-perspective profile. This merging of first-hand and third-party information reduces bias and improves reliability by cross-validating information from multiple sources.
Solution Approach 2:
Instead of only considering what the user posts about themselves, the patent inverts the approach by also analyzing what others post about the user. This reverse perspective provides independent verification and reduces the one-sidedness of self-reported information.
3Ease of operation
If profile information is collected only from users who actively post, then data collection is easy, but it is difficult to extract profiles of users who rarely post
Solution Approach 1:
The patent uses third-party posts as intermediaries to capture information about inactive users. When active users post about their friends, these posts serve as intermediaries that preserve information about users who would otherwise have no digital footprint, enabling profile creation without direct user participation.
Solution Approach 2:
The system leverages the voluntary posts of active users to automatically create and maintain profiles for inactive users. The active users essentially perform the data collection service for their friends, eliminating the need for separate data collection efforts for inactive users.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances the accuracy and completeness of user profiles by incorporating relevant activities from friends' posts, providing a more robust representation of users' social attributes.
Implementation Method 1
the computer identifying posts through facial image recognition by the social network friends which have images containing the user based on the image of the user in the user social network profile
Data Source
AI summary
Updating a user social network profile of a user based on relevant activities posted by other users in a same social network.