Dynamic Request Matching Algorithm for Network Bandwidth Optimization
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Solution Overview
Problem
Existing methods for gathering responses from users in a group are inefficient, often requiring long waiting times with no guarantee of success, and can flood network bandwidth and generate excessive waste.
Innovation Solution
A method for dynamically matching requests from a requestor with a member population, involving receiving a request with population profile identifiers, sample size, and response time period, generating initial and final member populations based on candidate preferences and profiles, and sending requests to subsets of the population until the desired sample size is met.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If users blast communication to several users through various channels to gather responses, then the number of potential respondents increases, but network bandwidth is flooded and excessive waste is generated
Solution Approach 1:
The system applies local quality by sending communications through customized, targeted channels selected based on each recipient's profile and preferences rather than using a uniform broadcasting approach. This ensures network resources are used efficiently while reaching the right audience through their preferred communication medium.
Solution Approach 2:
The system implements self-service by enabling users to specify their own communication preferences and availability, allowing the matching algorithm to automatically select appropriate channels and timing without requiring manual intervention or flooding the network with unnecessary communications.
2Loss of energy
If users use the post and wait method to gather responses, then network resources are conserved, but the waiting time becomes very long and there is no guarantee of success
Solution Approach 1:
The system applies preliminary action by pre-configuring user profiles with communication preferences, availability windows, and channel selections before requests are made. This allows the matching algorithm to quickly identify and contact suitable respondents without lengthy waiting periods or manual screening.
Solution Approach 2:
The system implements feedback mechanisms where users indicate their availability and preferences in advance, creating a responsive system that can quickly match requests with suitable respondents based on pre-collected information, thereby reducing both waiting time and unnecessary network traffic.
3Quantity of substance
If the system sends requests to a large portion of the member population to ensure sufficient responses, then the sample size requirement is met, but the network bandwidth is overwhelmed and waste increases
Solution Approach 1:
The system applies parameter changes by dynamically adjusting the composition of the member population subset based on multiple parameters including user profiles, communication preferences, availability, and request requirements. This allows the system to achieve sufficient response samples by contacting a smaller, more targeted group rather than flooding the network with broad communications.
Solution Approach 2:
The system implements partial action by sending communications to a carefully calculated subset of the member population that is sufficient to meet the sample size requirement without being excessive. The matching algorithm determines the minimum necessary group that guarantees adequate responses while conserving network resources.
4Productivity
If the system dynamically matches requests with member populations based on profiles and preferences, then the efficiency and timeliness of connections improve, but the system complexity increases
Solution Approach 1:
The system applies segmentation by dividing the member population into distinct subsets based on profiles, preferences, and suitability criteria. This segmentation allows the matching algorithm to efficiently navigate complex data structures and make rapid, accurate connections without being overwhelmed by the sheer size and complexity of the entire population database.
Data Source
AI summary
The invention provides a method for dynamically matching a request from a requestor with a member population. In an embodiment, the present invention enables an application to receive a request based on at least one population profile identifier, sample size and predetermined time for response from a user, and for enabling the application to generate a member population for sending the request to the member population and to determine if the response satisfies predetermined conditions and to present the results of the said activity to the user.