Transmission Resource Allocation Using Correlated User Groups
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Solution Overview
Problem
Content providers face challenges in efficiently targeting and transmitting content to a sufficient audience without causing network congestion and resource wastage due to repeated requests for broader audience reach.
Innovation Solution
A network provider manages data transmission resources by identifying user groups with similar interests using historical transmission information, allowing targeted content delivery to both an initial user group and additional groups that match a similarity threshold, thereby optimizing transmission efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If content providers transmit content to a broader audience to reach more users, then the audience coverage is improved, but network congestion and resource wastage increase
Solution Approach 1:
The system performs preliminary analysis of historical transmission information and user characteristics before actual content transmission. By pre-identifying user groups with similar interests and predicting their content preferences, the system prepares transmission plans in advance that optimize audience coverage while minimizing redundant transmissions and network resource consumption.
2Quantity of substance
If content providers make repeated requests for broader audience reach, then the audience coverage is improved, but the frequency of requests and network congestion increase
Solution Approach 1:
The system implements a feedback mechanism where historical transmission results and user response data are continuously analyzed. This feedback loop enables the system to learn from past transmissions, refine user group profiles, and optimize future content distribution strategies, reducing the need for repeated broad-casting requests and improving overall transmission efficiency.
Solution Approach 2:
The system autonomously manages content distribution by automatically analyzing user data, identifying target groups, and executing transmissions without requiring repeated manual intervention from content providers. This self-service capability reduces request frequency and optimizes resource utilization through automated decision-making.
3Quantity of substance
If the network provider transmits content to additional user groups beyond the initial target, then the audience coverage is improved, but the complexity of managing transmissions increases
Solution Approach 1:
The system segments the user base into distinct groups based on shared characteristics and interests identified from historical data. By dividing the broader audience into manageable segments with similar preferences, the system can efficiently manage transmissions to multiple groups simultaneously while reducing the overall complexity through structured organization and standardized processing of each segment.
Data Source
AI summary
Methods are described for managing transmission resources using user group correlation. A content provider or an advertiser may send, to a network provider, a content item that is to be transmitted to a target audience. The content provider or the advertiser may indicate the target audience by providing data identifying one or more criteria for the target audience. The network provider may use the data from the content provider to determine an initial user group that matches the criteria, and one or more additional user groups that are similar to the initial user group within a threshold. The network provider may transmit the content item to the initial user group and to the additional user groups.