Social Media De-targeting Algorithm Using Third-Party Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Targeted content delivery on social media platforms can be ineffective due to outdated user profiles and inaccurate user input, leading to irrelevant content being displayed to users, especially after they have made a purchase, which can irritate users and reduce platform effectiveness.
Innovation Solution
A de-targeting algorithm that allows users to provide feedback through a graphic icon, enabling them to log into third-party platforms to verify their preferences, ensuring accurate and reliable content selection by utilizing transaction data to block irrelevant content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If targeted content delivery is used based on user profile and browsing history, then content relevance is improved, but accuracy deteriorates when user profile is outdated or user has already purchased the product
Solution Approach 1:
The patent implements feedback mechanisms where users can indicate they have purchased a product, and the system uses this feedback to stop targeted content delivery. The de-targeting algorithm continuously receives user feedback and adjusts content delivery accordingly, resolving the contradiction by making the system adaptive to current user state rather than relying on potentially outdated profile data
Solution Approach 2:
The patent performs preliminary actions by proactively offering users the option to indicate product purchase before continuing targeted content delivery. By anticipating the need to verify user current needs, the system prevents inaccurate content delivery rather than reacting after the problem occurs
2Measurement precision
If user feedback is collected to improve content targeting, then content accuracy is improved, but user input reliability deteriorates because users may not accurately or honestly express preferences
Solution Approach 1:
The patent introduces third-party data as an intermediary to verify user input. Instead of relying solely on direct user feedback which may be unreliable, the system uses third-party transaction data to objectively confirm purchase status, thereby maintaining content accuracy while bypassing the reliability issue of user self-reporting
3Adaptability or versatility
If continuous targeted content delivery is provided based on search history, then content personalization is improved, but user irritation increases when users have already purchased the product
Solution Approach 1:
The patent makes the content delivery system dynamic by implementing real-time adjustment based on user purchase status. The de-targeting algorithm dynamically switches from personalized content delivery to non-personalized delivery when purchase is detected, allowing the system to adapt to changing user needs and eliminate the harmful effect of showing irrelevant content to users who already own the product
Data Source
AI summary
A social media platform can display a content item specifically targeted to a user by a targeting algorithm. The content item can display a graphic icon next to the content item. The user can select the graphic icon and provide input to the social media platform. For example, the user can log in a third-party platform, which can transmit certain data to the social media platform. Using the transmitted data, a de-targeting algorithm can block the content item. The de-targeting algorithm can also block unwanted content items in the future.