Add Nearby Users Component Connectivity Filtering
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Solution Overview
Problem
Interaction platforms face challenges in enabling users to connect with geographically nearby individuals who share similar interests, as existing systems lack efficient methods to determine and facilitate connections based on geographical proximity and connectivity values.
Innovation Solution
The add nearby users component determines geographically nearby users on an interaction platform by assessing their connectivity value, which is based on mutual friends within the platform and common contacts outside it, allowing users to send friend requests if they meet a set threshold, while considering restricted locations and privacy settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the platform enables users to connect with geographically nearby users based on connectivity value, then user connectivity and meaningful interactions are improved, but system complexity increases due to need for location assessment and connectivity calculation
Solution Approach 1:
The patent introduces an intermediary component that automatically calculates connectivity values based on mutual friends and common contacts, and another intermediary that handles location proximity assessment. These intermediaries abstract the complexity of connection logic from the user interface, allowing users to simply see and connect with nearby users without understanding the underlying computational mechanisms.
Solution Approach 2:
The system performs self-service by automatically determining connectivity values and location proximities without requiring manual input from users. The platform autonomously calculates which users are geographically nearby and qualifies for connection based on pre-established criteria, reducing the operational burden on users while maintaining connection quality.
2Ease of operation
If the platform displays geographically nearby users with high connectivity values, then ease of operation is improved by automatic filtering, but loss of information occurs regarding users who may be nearby but fall below threshold criteria
Solution Approach 1:
The system dynamically adjusts the visibility parameter of nearby users based on their connectivity values. Users above the threshold are displayed with connection options, while users below the threshold remain invisible. This parameter-based filtering simplifies the user interface by only presenting relevant connection opportunities, though it does filter out some potential connections.
Solution Approach 2:
The connectivity threshold and display criteria are dynamic parameters that can be adjusted by users or system administrators. This allows the system to adapt between different modes: strict filtering for quality connections or relaxed filtering for maximum visibility, balancing ease of operation with information completeness based on current needs.
3Measurement precision
If the system calculates connectivity value based on mutual friends and common contacts, then accuracy of connection matching is improved, but processing time increases
Solution Approach 1:
The system performs preliminary action by pre-calculating and storing connectivity values for all user pairs in advance. Rather than calculating connectivity values in real-time when a user views their feed, the system has already computed these metrics during background processing, so that when a user interacts with the platform, the connectivity information is immediately available without additional processing delay.
Solution Approach 2:
The connectivity calculation system operates continuously in the background, maintaining up-to-date connectivity values as users add or remove friends. This continuous operation ensures that when a user views nearby users, the connectivity metrics are already current and ready for immediate display, eliminating processing time delays.
Data Source
AI summary
A user with geographically nearby users is offered the opportunity to send the nearby users a friend request. Example methods include accessing a location of a user system of a user, where the user a member of an interaction platform, determining a list of other users, where the list of other users include other users associated with other user systems that are within a threshold distance of the location of the user system, where the other users have a threshold number of connections with the user, and where the other users are members of the interaction platform. The method may further include causing to be displayed on a screen of the user system indications of the other users of the list of other users and user interface items for the user to send a friend request to a corresponding other user of the list of other users.