Preference Determination via Combined Index Calculation
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Solution Overview
Problem
Marketers and researchers face challenges in accessing and utilizing social media data for preference determination due to its inaccessibility and lack of systems to compare data points against control groups to predict user behaviors or affinities.
Innovation Solution
A method and system for obtaining permission from social media users to access their profile data, conducting surveys, calculating base odds, and using a Combined Index Calculation (CIC) method to analyze and rank variables, determining the likelihood of users preferring specific items, and returning predictive targeted sets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional market research methods are used to access social media data, then data collection can be performed, but the data remains inaccessible due to permission restrictions and ownership by consumers
Solution Approach 1:
The patent introduces a permission-based intermediary system that mediates between marketers and social media data. The system acts as a broker, requiring explicit user permission to access and share social media data with marketers, thereby resolving the access restriction problem while maintaining user control and privacy.
2Measurement precision
If social media data is accessed with permission, then personal data can be utilized, but there is no system to compare data points against control groups to predict user behaviors
Solution Approach 1:
The patent segments the social media data into distinct variables and creates separate control groups for comparison. The system divides the data analysis into manageable components, comparing specific data points against control groups to identify predictive patterns for user behaviors and affinities.
Solution Approach 2:
The system implements feedback mechanisms by continuously comparing social media data variables against control groups and using the results to refine predictive models. This feedback loop enables the system to improve predictive accuracy for user behaviors and preferences over time.
3Measurement precision
If social media data is structured for predictive analysis, then preference determination can be achieved, but the process becomes complex and difficult to implement
Solution Approach 1:
The patent creates a universal platform that handles multiple functions within a single system: data collection, permission management, variable identification, control group comparison, and predictive analysis. This multi-functional approach simplifies implementation by providing an all-in-one solution rather than requiring separate systems for each function.
Data Source
AI summary
A system and method for preference determination, including obtaining permission for profile access from social media users where the users agree to participate in surveys. Profile data, preferences, and data from completed surveys is retrieved, and base odds are calculated for particular variables in profiles of respondents and of people in the general population, and attributes for which predictive targeted sets are desired are returned. The profile data, preferences, and survey data is analyzed using a combined index calculation method to reduce the profile data, preferences, and data from surveys to a single index value for one or more particular keywords. The variables are placed in rank order based on the single index value to determine a likelihood of a particular user to prefer a particular item, and a predictive targeted set is returned for a likelihood of users in a particular set of users to prefer a particular item.