Media Item User Group Sizing With Dynamic Weight Thresholds
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Solution Overview
Problem
Media item providers face challenges in accurately selecting and adjusting the size of user groups for targeted media item distribution, often resulting in either overly broad or insufficient user inclusion, leading to irrelevant presentations and inefficient processing resources.
Innovation Solution
A system and method for dynamically adjusting the size of user groups by setting initial and secondary weight thresholds based on user probabilities and preferences, allowing media item providers to explicitly define categories and desired group sizes, thereby optimizing user selection and reducing system latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the group of users is expanded to include more potential users, then the coverage of media item distribution is improved, but the relevance and precision of user selection deteriorates
Solution Approach 1:
The system dynamically adjusts the weight threshold parameter to control the size of the user group. By changing the threshold value, the system can expand or contract the group of users who receive the media item, balancing between coverage and selection precision based on provider preferences and performance metrics
2Quantity of substance
If the weight threshold is lowered to include more users, then the group size is increased, but the processing resource consumption increases
Solution Approach 1:
The system implements dynamic threshold adjustment where the weight threshold is not fixed but adapts based on provider preferences and performance metrics. This allows the system to optimize the balance between group size and processing resource consumption by adjusting the threshold to appropriate levels rather than continuously evaluating all users
3Ease of operation
If manual user identification methods are used to select users for media item distribution, then the selection process is simple, but the time consumption and inefficiency increase
Solution Approach 1:
The system replaces manual user identification methods with an automated computing-based approach. The processor automatically evaluates user weights against thresholds and identifies suitable users, dramatically reducing the time required for user selection while maintaining operational simplicity through automated decision-making
4Quantity of substance
If the group size is increased to reach more users, then the distribution coverage is improved, but the system latency increases
Solution Approach 1:
The system performs preliminary calculations to determine the weight threshold and identifies the group of users who will receive the media item before the actual distribution process. This advance preparation reduces system latency during media item distribution by having the user selection already completed
Data Source
AI summary
A system and method are disclosed for identifying a media item to be provided to a group of users of a content sharing platform, wherein the media item is associated with a category, and wherein each user in the group of users is associated with a weight indicating a probability of a correspondence between a respective user and the category associated with the media item, receiving a request to change a size of the group of users from a first level to a second level, the first level corresponding to a first weight threshold for the group of users, and calculating, based a value indicating a difference between the first level and the second level, a second weight threshold for the group of users corresponding to the second level, the second weight threshold to be subsequently used to determine whether the media item is to be provided to a user requesting content from the content sharing platform.