Decision Platform for Directed Information Delivery Using Logistic Regression
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current online directed information delivery systems rely on third-party analysis and hosting, which can compromise data security and limit the ability to customize and measure interactivity effectively, leading to suboptimal relevance and engagement with users and devices.
Innovation Solution
A decision system for online directed information delivery that uses a three-dimensional logistic regression model to predict interactivity and a second-price auction mechanism to optimize the selection and delivery of directed information, allowing for real-time updates and inventory adjustments without external intervention, thereby enhancing relevance and user engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If third-party hosting and analysis is used for directed information, then system complexity is reduced, but data security and customization capability deteriorate
Solution Approach 1:
The patent extracts the directed information selection and delivery functionality from third-party systems and integrates it directly into the organization's own decision platform. This allows the organization to maintain control over data security while managing the complexity through a dedicated in-house system rather than relying on external third parties.
2Ease of manufacture
If third-party hosting is used for directed information, then implementation ease is improved, but interactivity measurement capability deteriorates
Solution Approach 1:
The patent implements comprehensive feedback mechanisms that track multiple forms of user interaction with directed information, including clicks, views, and other engagement metrics. This feedback loop enables precise measurement of interactivity and allows the system to optimize future information delivery based on measured user responses, thereby improving measurement precision while maintaining implementation feasibility.
3Device complexity
If traditional directed information delivery is used, then system simplicity is maintained, but relevance and engagement accuracy deteriorate
Solution Approach 1:
The patent employs preliminary actions by pre-processing and analyzing user data, device information, and directed information content before delivery. The system performs preliminary scoring and ranking of directed information based on predicted user interest and relevance, ensuring that only the most appropriate information is selected for delivery. This preliminary analysis significantly improves relevance and engagement accuracy while maintaining reasonable system simplicity through automated preprocessing steps.
4Reliability
If in-house decision platform is implemented, then data security and customization are improved, but system complexity and implementation difficulty increase
Solution Approach 1:
The patent segments the directed information delivery system into distinct functional modules including data collection, user profiling, information scoring, selection, and delivery components. This modular segmentation allows the organization to implement an in-house platform with improved data security and customization capability while managing system complexity through clear separation of concerns and independent module development.
5Measurement precision
If multi-dimensional logistic regression analysis is used, then prediction accuracy is improved, but computational complexity increases
Solution Approach 1:
The patent applies multi-dimensional logistic regression analysis by transforming various input parameters (user characteristics, device information, information attributes) into a standardized mathematical framework. This parameter transformation allows the system to achieve high prediction accuracy for user engagement while managing computational complexity through efficient regression algorithms and parameter optimization techniques.
Data Source
AI summary
A decision platform can be a computer-implemented platform for predicting and increasing the likelihood that directed information is relevant to a user or device. The decision platform can have capabilities for predicting rates of interactivity with the directed information updating models, and reacting to directed information inventory changes in real-time without human intervention. The decision platform can use a three-dimensional logistic regression model to predict interactivity based in part on a user interactivity rate, a directed information interactivity rate, and a placement interactivity rate.