Information Distribution System with Recommended Target Indicator
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Solution Overview
Problem
Inaccurate information distribution leads to resource waste, as users' distribution requirements are often unreasonable, resulting in poor distribution results and inefficient use of user and network resources.
Innovation Solution
An information distribution method that determines a recommended value of a target indicator for users based on historical indicators of their distributed information and category, recommending this value to users and using it to identify optimal recipients, thereby optimizing the distribution process and reducing resource waste.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users set target indicators for information distribution based on their own judgment, then the distribution process can be initiated, but the distribution accuracy deteriorates leading to resource waste
Solution Approach 1:
The system performs preliminary analysis of user historical behavior data and category information before the distribution action to determine recommended target indicator values. This preliminary action provides users with scientifically derived recommendations before they set their distribution parameters, improving accuracy without hindering productivity
Solution Approach 2:
The system collects user historical distribution data and feedback results, then uses this feedback to continuously optimize and update recommended target indicator values. This closed-loop feedback mechanism ensures that the recommendations become progressively more accurate while maintaining efficient distribution operations
2Productivity
If information is distributed without accurate target indicators, then the distribution process is simple and fast, but resource waste increases due to poor distribution results
Solution Approach 1:
The system performs preliminary calculation of recommended target indicator values based on user historical data and category information before the actual distribution. This preliminary action ensures accurate targeting without adding significant time to the distribution process, thereby maintaining speed while reducing resource waste
Solution Approach 2:
The system dynamically determines optimal target indicator parameter values based on user behavior patterns and category characteristics. By optimizing these parameters in advance, the system achieves both fast distribution execution and minimal resource waste through precise targeting
Data Source
AI summary
The present disclosure relates to an information distribution method, apparatus, and computer readable storage medium, which relates to the field of information processing. The information distribution method includes: determining a recommended value of a target indicator corresponding to a user based on a historical indicator of information historically distributed by the user and a historical indicator of a category to which the user belongs, wherein an indicator is determined based on resources gained and consumed through distributed information; recommending the recommended value of the target indicator to the user; determining target recipients of target information to be distributed by the user based on a target indicator input by the user, wherein the target indicator input by the user is determined based on the recommended value of the target indicator by the user; and sending the target information to the target recipients.