Dynamic Targeted Label Generation for Social Network Advertising
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Solution Overview
Problem
In targeted advertising, new advertisements often suffer from poor advertising effects due to being advertised to the same target user groups as existing advertisements, leading to user immunity and wastage of resources.
Innovation Solution
A method and apparatus for generating targeted labels by determining official accounts on social networks, identifying followed user accounts with high interest and activeness, filtering out inactive or negatively sentimented users, and using these accounts to create targeted user sets for more effective advertising.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If new advertisements use the same targeted labels as existing advertisements, then the advertising reach is maintained, but the advertising effectiveness deteriorates due to user immunity
Solution Approach 1:
The patent applies dynamics by making the targeted label selection adaptive and dynamic. When a new advertisement is created, the system dynamically determines whether to reuse existing targeted labels based on real-time analysis of user feedback and advertising performance data. The label selection adapts to changing user responses, switching from static label assignment to dynamic label optimization based on measured effectiveness
Solution Approach 2:
The patent implements feedback mechanisms by continuously monitoring user responses to advertisements and using this feedback to adjust targeted label selection. The system collects feedback on advertising effectiveness and uses it to determine whether to maintain or change the targeted labels for new advertisements, creating a closed-loop system that learns from past performance
2Loss of energy
If targeted labels are reused from existing advertisements, then the advertising coverage is maintained, but resource wastage increases due to repeated advertising to immune users
Solution Approach 1:
The patent applies discarding and recovering by identifying and discarding ineffective targeted label combinations that result in user immunity. When the system detects that certain labels are no longer effective, it discards those labels from future advertising campaigns and recovers resources by reallocating them to more effective label combinations, thereby reducing waste while maintaining coverage
Solution Approach 2:
The patent changes parameters by adjusting the targeted label parameters based on measured effectiveness. Instead of using fixed labels, the system modifies label selection parameters dynamically, changing which labels are applied to new advertisements based on performance data, thereby optimizing resource allocation between coverage and effectiveness
Data Source
AI summary
A method for generating a targeted label is provided. An official account in a social network platform is determined by processing circuitry of an apparatus. A plurality of user accounts in the social network platform that follows the official account of the determined provider is determined. Each of the plurality of user accounts has a corresponding user label that indicates a user attribute of a user associated with the respective user account. The plurality of user accounts is added to a set of targeted user accounts. The targeted label for the recommendation information is determined according to the user labels of the plurality of user accounts. Subsequently a set of target user accounts in the social network platform is determined according to the determined targeted label, and the recommendation information is sent to user clients of the user account included in the set of target user accounts.