Iterative Communication Allocation for Target Pool Transmission
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Solution Overview
Problem
Existing communication systems inefficiently utilize computing and network resources when transmitting large volumes of communications, often exceeding the necessary quantity to achieve a specific objective, leading to resource wastage.
Innovation Solution
An iterative processing system dynamically adjusts communication allocations based on updates to the target pool, performing multiple iterations of computations to predict the optimal number of communications needed to achieve a specific objective, such as sales conversions, by using databases to preserve the state of computations and efficiently manage resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If communication systems transmit large volumes of communications to ensure objectives are met, then reliability of achieving communication objectives is improved, but computing and network resources are wasted due to excessive transmissions
Solution Approach 1:
The system performs preliminary iterative computations to predict the optimal communication allocation before actual communication transmission. By simulating different allocation scenarios in advance and using responsiveness associations to forecast outcomes, the system determines the precise number of communications needed to meet objectives, avoiding both insufficient and excessive transmissions that would waste resources.
Solution Approach 2:
The system incorporates feedback mechanisms through iterative processing where communication allocations are adjusted based on responsiveness associations and predicted outcomes. The iterative algorithm continuously refines allocation predictions by considering feedback from previous iterations and updating the target pool composition, enabling dynamic optimization of communication quantities to achieve reliability while minimizing resource waste.
2Productivity
If communication systems transmit communications to meet objectives, then productivity of achieving communication goals is improved, but device complexity increases due to iterative processing requirements
Solution Approach 1:
The system segments the communication allocation problem into manageable components by separating individuals into distinct groups within the target pool based on their responsiveness associations. This segmentation allows the iterative algorithm to process different subsets of the population independently, making the complex optimization problem more tractable and reducing the computational burden on individual processing units while maintaining overall productivity.
Solution Approach 2:
The system manages complexity by dynamically changing key parameters such as the target pool composition and communication allocation quantities through iterative processing. By adjusting these parameters based on responsiveness associations and predicted outcomes, the system optimizes productivity without requiring overly complex fixed structures, as the complexity is managed through flexible parameter adaptation rather than rigid complex architecture.
Data Source
AI summary
In some implementations, a device may identify a plurality of individuals that form a target pool for transacting with a plurality of entities. The device may determine responsiveness associations between the plurality of individuals and the plurality of entities. The device may perform, based on the responsiveness associations and a composition of the target pool, multiple iterations of computations of respective quantities of individuals predicted to transact with one or more of the plurality of entities and respective communication allocations predicted to realize transactions for the respective quantities of individuals. Each iteration, of the multiple iterations of computations, may be initiated by an update to the composition of the target pool in response to an entity accepting a communication allocation. The device may cause, based on the entity accepting the communication allocation, transmission of a plurality of communications in accordance with the communication allocation.