Social Network Friend Recommendation via Intermediary Mediator
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Solution Overview
Problem
Existing methods for obtaining potential friends information in social networking services are inefficient and inaccurate, requiring users to browse numerous profiles and relying on incomplete or misleading user characteristics.
Innovation Solution
A system and method involving a server, requesting client, and recommending client that allows users to request and receive potential friends information by determining friendships based on shared characteristics, increasing efficiency and accuracy by forwarding requests and verifying user relationships.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users browse profile information manually to find potential friends, then they can obtain friend information, but the efficiency is low and time-consuming
Solution Approach 1:
The patent introduces a recommending user as an intermediary who actively provides potential friend information to the requesting user. This mediator approach eliminates the need for the requesting user to manually browse profiles, significantly improving efficiency while reducing time loss. The recommending user serves as a bridge who leverages their social connections to provide targeted friend recommendations.
Solution Approach 2:
The system performs preliminary action by having the recommending user pre-identify and provide potential friend information before the requesting user needs it. This advance preparation eliminates the time-consuming browsing process, as the information is already prepared and filtered by the recommending user who understands the social context.
2Measurement precision
If users rely on profile information to determine friendship compatibility, then they can identify potential friends, but the accuracy is insufficient due to limited and potentially false characteristics
Solution Approach 1:
The recommending user acts as a trusted intermediary who validates and provides more accurate social compatibility information than static profiles can offer. This intermediary has direct knowledge of the requesting user's preferences and can accurately identify suitable potential friends, improving measurement precision while compensating for incomplete profile information.
Solution Approach 2:
The system incorporates feedback mechanisms where the recommending user provides informed recommendations based on their understanding of the requesting user's preferences and the potential friend's characteristics. This feedback loop improves accuracy by incorporating real-world social knowledge that goes beyond what is available in static profile information.
Data Source
AI summary
A method, a system and a device for obtaining potential friends information are disclosed in the present invention. The method includes: a server receives a request sent by a requesting client for obtaining potential friends information from a recommending user which is appointed by a requesting user; the server forwards the request for obtaining the potential friends information to a recommending client that pertains to the recommending user; the server receives the potential friends information sent by the recommending client, and determines whether users corresponding to the potential friends information and the recommending user are friends, and if yes, sends the potential friends information to the requesting client.