Targeted Content Delivery via User Segmentation
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Solution Overview
Problem
Current electronic social networking platforms lack the ability to deliver targeted content effectively to users based on their specific characteristics and interests, often resulting in generic or irrelevant content being sent to users with different profiles and preferences.
Innovation Solution
An application extracts data from electronic social networking platforms to identify user segments with shared characteristics and delivers tailored content by leveraging user profiles, interests, and behaviors, such as language preferences and location, to provide more personalized invitations and messages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If generic content is delivered to all users, then the system operation is simple and fast, but the content relevance to individual users deteriorates
Solution Approach 1:
The patent segments users into distinct groups based on extracted characteristics such as language preferences, location, and interests. This segmentation enables the system to deliver tailored content to each segment while maintaining operational efficiency through automated classification, resolving the contradiction between simple delivery and relevant content.
Solution Approach 2:
The patent applies local quality by customizing content characteristics according to specific user segment attributes. Each user segment receives content with qualities (language, location-specific information, interest-aligned topics) matched to their particular characteristics, thereby improving content relevance without requiring complete system redesign.
2Loss of information
If personalized content is delivered to each user, then the content relevance improves, but the system complexity increases
Solution Approach 1:
Instead of personalizing content for each individual user (which would be complex), the patent segments users into manageable groups with shared characteristics. This approach maintains high content relevance while reducing system complexity by handling a finite number of segments rather than infinite individual configurations.
Solution Approach 2:
The patent changes key parameters (language, location, interests) that define user segments and uses these parameter variations to deliver personalized content. By focusing on a limited set of meaningful parameters rather than all possible user attributes, the system achieves personalization without excessive complexity.
3Loss of information
If user data is extracted and analyzed, then the content personalization improves, but the data processing time increases
Solution Approach 1:
The patent performs preliminary action by extracting and analyzing user data in advance to create user segments before content delivery. This pre-processing enables rapid content assignment during actual delivery, as users are already classified into segments with defined characteristics, reducing real-time processing requirements.
Solution Approach 2:
The patent segments users based on extracted characteristics, creating predefined groups that can be quickly matched with appropriate content. This segmentation approach reduces data processing time during content delivery by eliminating the need for real-time analysis, as classification has already been performed.
Data Source
AI summary
Data associated with user identities within an electronic social networking platform is extracted from the electronic social networking platform. A request is received to filter the user identities based on a specified value for a characteristic. Based on data associated with the user identities that was extracted from the electronic social networking platform, a subset of the user identities is identified who have the specified value for the characteristic. An indication of content to be delivered to the identified subset of user identities is received. As a consequence, the content is delivered to at least some of the user identities within the identified subset of user identities.