Contact Similarity Assessment via Shared Wireless Connections
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Users of electronic devices face uncertainty when deciding whether to accept communication requests from new contacts through social software, as there is no effective method to assess the similarity or connection history between users.
Innovation Solution
A system comprising electronic devices and a server that determines a degree of similarity between users based on shared connection information, such as Wi-Fi, Bluetooth, or RFID device usage, and pushes user information when the similarity exceeds a preset threshold, allowing users to categorize and manage contacts more effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users accept all communication requests from new contacts, then communication opportunities are maximized, but the risk of accepting unknown or potentially harmful contacts increases
Solution Approach 1:
The system performs preliminary assessment of new contacts by analyzing shared connection information before the user makes a decision. The server calculates similarity scores based on common Wi-Fi, Bluetooth, or RFID device connections in advance, providing users with pre-evaluated contact information including similarity degrees and shared connection details, enabling informed decisions before accepting communication requests
Solution Approach 2:
The patent introduces a server as an intermediary that objectively assesses new contacts by analyzing shared connection information. This intermediary system processes connection data, calculates similarity scores, and provides evaluation results to users, removing the need for users to manually evaluate each contact while enhancing contact safety through systematic analysis
2Reliability
If users manually evaluate each new contact, then contact safety is improved, but time consumption and operational complexity increase
Solution Approach 1:
The system enables automated self-service evaluation where the server automatically analyzes connection information, calculates similarity scores, and generates contact assessment reports without requiring user intervention. The system queries connection information, processes data, and presents evaluation results autonomously, saving users significant time while maintaining reliable contact safety assessment
Solution Approach 2:
The system provides immediate feedback to users by automatically calculating and displaying similarity scores along with detailed shared connection information. This feedback mechanism delivers contact safety assessments in real-time, allowing users to make informed decisions without manual evaluation while maintaining high reliability through systematic analysis
3Measurement precision
If the system analyzes detailed connection information for all contacts, then assessment accuracy is improved, but system complexity and data processing requirements increase
Solution Approach 1:
The patent segments connection information analysis into distinct categories: Wi-Fi device connections, Bluetooth device connections, and RFID device connections. Each category is analyzed separately with specific parameters (e.g., connection frequency, duration, strength), allowing precise assessment while managing system complexity through structured modular analysis of different connection types
Data Source
AI summary
A recognizing method includes establishing a communication connection between each electronic device and one or more wireless devices. Connection information when each electronic device communicates with one or more wireless devices is recorded in a server. The server determines a degree of similarity between two electronic devices according to the connection information and pushes user information of one of the two electronic devices to another when the degree of similarity is greater than a preset degree of similarity.