Feedback-Based Ad Medium Ranking System
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing advertisement delivery systems fail to effectively enhance advertisement effects when using a person as an advertisement medium, as the effectiveness depends on the relationship between the advertisement and the person, lacking a systematic approach to optimize this interaction.
Innovation Solution
An information processing system that acquires feedback information from viewers of an advertising activity, updates profile information to determine the effectiveness, and ranks users based on their advertising performance, allowing for targeted selection and incentivization of effective advertisement mediums.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If advertising is performed using a person as an advertisement medium, then advertisement reach and engagement are improved, but advertisement effectiveness varies unpredictably due to the relationship between the advertisement and the person
Solution Approach 1:
The patent implements a feedback mechanism where viewers evaluate advertising activities through their information processing devices. The evaluation information is transmitted to the management device, which uses it to determine grading information for advertisement mediums. This feedback loop allows the system to learn from actual performance and make data-driven selections, transforming the unpredictable human element into a measurable and optimizable parameter.
Solution Approach 2:
The patent changes the parameter of advertisement medium selection from subjective judgment to objective grading based on multiple criteria including evaluation information, behavior information, and appearance information. By quantifying the effectiveness of different advertisement mediums through grading information, the system can reliably select the most effective persons for advertising, thus improving consistency while maintaining the benefits of human-based advertising.
2Productivity
If a systematic approach is implemented to optimize the relationship between advertisement and person, then advertisement effectiveness is improved, but system complexity increases
Solution Approach 1:
The patent creates a universal information processing system that handles multiple functions: collecting evaluation information from viewers, gathering behavior and appearance information about advertisement mediums, determining grading information, and selecting advertisement mediums. This multi-functional system consolidates what would otherwise require separate manual processes into a single automated platform, managing complexity through integration rather than proliferation of separate systems.
Solution Approach 2:
The system enables advertisement mediums to automatically provide their behavior information and appearance information to the management device. Viewers automatically transmit evaluation information when they view advertising activities. This self-service approach reduces the need for manual data collection and system intervention, allowing the complex grading and selection processes to occur automatically based on data that participants provide themselves.
3Productivity
If feedback information from viewers is collected and processed, then advertisement effectiveness is enhanced through data-driven selection, but information processing requirements and time increase
Solution Approach 1:
The patent collects behavior information and appearance information about advertisement mediums in advance, before the advertising activity begins. This preliminary data collection allows the management device to have baseline information ready for grading calculations. Additionally, the system processes evaluation information continuously as it is received, rather than waiting for batch processing, thus reducing the time delay between feedback collection and its impact on selection decisions.
Data Source
AI summary
An information processing system that acquires feedback information from a first user having viewed an advertising activity of a second user, the advertising activity including displaying advertising information on an information processing apparatus possessed by the second user; and updates profile information for determining an effectiveness of the advertising activity based on the received feedback information.