Interest Identifier Content Matching System
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Solution Overview
Problem
Current methods for providing content in computer networks often rely on inferring user interest, which can lead to irrelevant content being displayed, as they do not account for explicit user requests for specific types of content.
Innovation Solution
A system and method that involve obtaining a query with an interest identifier from an end user, identifying an affirmative request for content based on this identifier, and selecting and displaying content items that match the query's subject matter, ensuring that only relevant content is shown to the user and potentially to third-party devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If content is selected based on inferred user interest from behavior data, then the system can automatically provide personalized content, but the relevance and accuracy of the content decreases due to incorrect inferences
Solution Approach 1:
The system implements feedback by monitoring whether users interact with displayed content (e.g., clicking, scrolling, time spent). This feedback is used to refine future content selection, transitioning from purely inferred interest to a hybrid approach that combines initial inference with actual user response data, thereby improving content relevance accuracy while maintaining automation
Solution Approach 2:
The system performs preliminary content selection based on inferred user interest before actual user interaction occurs. This preliminary action is then refined based on real user feedback, allowing the system to maintain automation while improving accuracy through iterative adjustment based on actual user preferences rather than relying solely on initial inferences
2Adaptability or versatility
If third parties can access and display content from user queries, then content visibility and distribution increases, but user privacy and control over their data decreases
Solution Approach 1:
The system introduces an intermediary layer between user queries and third-party content providers. This intermediary (the content publishing system) receives anonymized or aggregated query data, processes it to identify content opportunities, and then selectively shares only necessary information with third parties. This mediator role enables content distribution flexibility while protecting user privacy by preventing direct exposure of raw user data
Solution Approach 2:
The system applies different levels of data sharing to different third parties based on their specific needs and trust levels. Rather than uniformly exposing all user data to all third parties, the system selectively shares only the specific information needed for each partnership, thereby enabling versatile content distribution while minimizing privacy exposure through localized, controlled data access
3Measurement precision
If the system displays content based on explicit user requests with interest identifiers, then content relevance improves, but the system complexity increases due to processing and matching requirements
Solution Approach 1:
The system performs preliminary organization of content into categories and topics in advance, creating a structured content repository with pre-defined interest identifiers. When users submit queries with interest identifiers, the system simply matches against this pre-organized structure rather than performing complex real-time analysis, thereby achieving high content matching accuracy while minimizing processing complexity
Solution Approach 2:
The system transforms complex content matching requirements into simpler parameter-based comparisons by using standardized interest identifiers (e.g., topic tags, category codes). Instead of analyzing full text semantics, the system compares discrete parameters like interest categories and content tags, which dramatically reduces computational complexity while maintaining or improving matching accuracy through structured parameter alignment
Data Source
AI summary
Systems and methods of providing information via a computer network are provided. A data processing system can obtain, via the computer network, a query including an interest identifier provided to a content publisher computing device by an end user computing device during a communication session between the content publisher computing device and the end user computing device via the computer network. The data processing system can identify an affirmative request for content based on the interest identifier, and can select a content item responsive to the affirmative request for content, the content item having subject matter satisfying the query. The data processing system can provide, via the computer network, the content item for display by at least one of the end user computing device and a third party computing device.