Media Placement Index Using Interaction Feedback
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Solution Overview
Problem
Current methods for presenting media information in social media fail to comprehensively consider the attributes of the information placement user, social user interaction experience, and social platform image value, leading to inefficient media placement and user engagement.
Innovation Solution
A method that obtains and combines three parameters - the preset quantity of times of media information presentation, first-type interaction operations, and second-type interaction operations - to determine a presentation index, which in turn determines the presentation sequence of media information, considering the value of the media information placement user, interaction experience of the social user, and loss of social platform image value.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If media information is presented based on traditional industry metrics, then advertisement placement can be simplified, but the effectiveness and user engagement are insufficient
Solution Approach 1:
The patent segments the advertisement placement problem into three distinct parameters: first parameter for user value, second parameter for social interaction experience, and third parameter for platform image loss. Each parameter is calculated independently and then combined to form a comprehensive presentation index, making the complex problem manageable and systematic.
Solution Approach 2:
The patent introduces a multi-parameter evaluation system that changes from traditional single-metric placement to a comprehensive parameter-based approach. By defining specific parameters (user value, interaction experience, platform image) and their corresponding calculation formulas, the system transforms subjective advertising effectiveness into objective measurable parameters.
2Productivity
If media information presentation considers only user value, then advertisement revenue is maximized, but user experience and platform image deteriorate
Solution Approach 1:
The patent applies counterweight by introducing negative feedback mechanisms. The second parameter measures social interaction experience (positive feedback) while the third parameter measures platform image loss (negative feedback). These counterbalancing parameters ensure that maximizing user value does not lead to excessive user experience degradation or platform image damage.
Solution Approach 2:
The system implements feedback loops by continuously monitoring user interactions with presented media information. The second parameter tracks positive interactions (shares, likes, comments) while the third parameter tracks negative feedback. This feedback mechanism allows dynamic adjustment of presentation strategies to maintain balance between revenue and user experience.
3Productivity
If media information is presented without considering social interaction, then placement efficiency is improved, but user engagement and viral potential are reduced
Solution Approach 1:
The patent makes the presentation system dynamic by incorporating real-time social interaction data. The second parameter is calculated based on actual user behaviors (shares, likes, comments) that occur after media information is presented. This dynamic feedback allows the system to adapt presentation strategies based on observed social engagement patterns.
Solution Approach 2:
The system uses social interaction feedback to optimize placement. By monitoring the second parameter (social interaction experience) in real-time, the system can identify which types of media information generate positive social engagement and adjust future placement decisions accordingly, improving both efficiency and engagement.
Data Source
AI summary
A media content placement system is provided. The system may determine a first parameter corresponding to a media object of a plurality of media objects displayed according to a presentation sequence, the first parameter based on a predetermined quantity of times a media object is displayed. The system may determine a second parameter corresponding to the media object, the second placement parameter may be based on of a positive feedback for the media object. The system may determine a third parameter corresponding to the media object, the third parameter may be based on a negative feedback for the media object. The system may determine a presentation index corresponding to a media object. The presentation index may reference a position in a presentation sequence used to display media objects. The system may determine the presentation index based on the first parameter, the second parameter and the third parameter.


