Relationship-Based Business Network With Affinity Score Matching
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing business networking technologies are inefficient, inaccurate, and fail to provide relevant connections and recommendations, leading to suboptimal collaborations and partnerships.
Innovation Solution
A user-defined relationship-based connectivity algorithm that utilizes matching algorithms, recommendation systems, and trust mechanisms to pair businesses based on specific criteria, ensuring meaningful connections and enhanced collaboration opportunities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional matching algorithms are used to connect businesses, then the system can process connections, but the matching is inefficient and inaccurate
Solution Approach 1:
The system implements feedback mechanisms where users can rate and review connections, and the algorithm uses this feedback to continuously improve matching accuracy. The affinity score calculation incorporates feedback from mutual connections and interaction history to refine future matching decisions.
Solution Approach 2:
The patent changes the parameters used for matching from simple binary matches to multi-dimensional affinity scores that consider multiple factors including mutual connections, interaction history, and user-provided criteria. This transforms the matching process into a nuanced evaluation that improves both accuracy and efficiency.
2Measurement precision
If comprehensive business profiles are stored and searched, then more accurate matching is possible, but the system complexity increases
Solution Approach 1:
The system segments the complex matching process into distinct modules: profile storage, affinity score calculation, matching algorithm, and connection management. Each module handles specific aspects of the matching process, making the overall system more manageable while maintaining high matching accuracy through specialized processing at each stage.
3Reliability
If relationship-based connectivity algorithms are implemented, then meaningful connections are facilitated, but the algorithm complexity increases
Solution Approach 1:
The system performs preliminary actions by pre-calculating affinity scores for potential connections and pre-organizing business profiles with relevant attributes. This preparation allows the matching algorithm to operate more efficiently, reducing real-time computational complexity while maintaining high relevance in connections.
Data Source
AI summary
According to an aspect of the present invention, there is provided a computer-implemented method for operating a relationship-based network, comprising: receiving a connection request from a user; adding another user to the user's defined relationship-based network based on an indication of an acceptance by the other user; displaying existing connections, dynamically updated new connections, and categories for a user's connections using tags or labels; displaying full profiles for one or more first-degree connections directly connected users sent connection requests to which have been have accepted; display partial profile information for second-degree connections which are the clients or vendors of the user's first degree connections; and displaying limited profile information for third-degree connections which are the connections of the user's second-degree connections.