TURF Analysis Variable Segmentation for Computational Efficiency
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The computational resources required for Total Unduplicated Reach and Frequency (TURF) analysis become resource and cost prohibitive as the number of variables increases, making it impractical to analyze 50 or more variables effectively.
Innovation Solution
The method involves distributing variables into groups, calculating reach scores, identifying groups with high reach scores, and performing TURF analysis in a tournament-style manner, where variables are partitioned and re-grouped based on computational resource availability to optimize analysis efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If TURF analysis is performed on a large number of variables (50 or more), then the analysis comprehensively covers all possible product combinations, but the computational resources and costs become prohibitive
Solution Approach 1:
The patent divides the large set of variables into multiple smaller groups or subsets. Instead of performing TURF analysis on all variables simultaneously, the system segments them into manageable chunks that can be processed independently or in parallel, significantly reducing the computational complexity while maintaining comprehensive analysis coverage through systematic combination of results
Solution Approach 2:
The patent introduces a hierarchical dimension to the analysis process by organizing variables into multiple levels or stages. The analysis proceeds through different dimensional layers, where results from lower-level group analyses are aggregated and combined to form higher-level insights, transforming an intractable single-dimension problem into a manageable multi-dimensional process
2Measurement precision
If TURF analysis includes all variables, then the reach and frequency metrics are comprehensive, but the analysis time and computational resources increase significantly
Solution Approach 1:
The patent performs preliminary filtering and preprocessing of variables before conducting the full TURF analysis. By pre-identifying and eliminating variables that are unlikely to contribute significantly to the final results, or by pre-grouping variables with similar characteristics, the system reduces the effective number of variables requiring intensive computation while preserving the accuracy of reach and frequency metrics for the most relevant variables
Solution Approach 2:
The patent implements a staged analysis approach where a comprehensive TURF analysis is performed on a subset of variables first, and then progressively expanded to include additional variables. This allows the system to obtain useful preliminary results quickly, and then refine the analysis by incorporating more variables as computational resources become available, balancing metric comprehensiveness with analysis time
Data Source
AI summary
A method, computer system, and a computer program product for performing a total unduplicated reach and frequency (TURF) analysis, is provided. The present invention may include distributing variables into a plurality of groups and calculating, based on a TURF analysis, a reach score for each variable in the plurality of groups. The present invention may include identifying at least one group of variables including the calculated reach score above a first threshold value and displaying a set of TURF analysis results to a user. The present invention may include determining, an available computational resource value for the TURF analysis and in response to determining that a count of variables in the identified at least one group of variables is below a second threshold value, wherein the second threshold value is based on the determined available computational resource value, performing a next TURF analysis on a single group of variables.