Gateway System for Content Diversity Control
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Solution Overview
Problem
Recommender systems in web services often create 'content bubbles' by providing non-diverse, personalized responses, limiting users' exposure to diverse content, even when such content may be of interest.
Innovation Solution
A system and method that processes responses from web services to determine diversity based on user specifications, modifying responses to ensure they are diverse by incorporating additional content from enrichment services if necessary, using a gateway computer system that intercepts requests and responses to enrich them with diverse information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If recommender systems provide personalized content based on user preferences, then user engagement and relevance are improved, but content diversity and exposure to alternative viewpoints deteriorate
Solution Approach 1:
The patent introduces a diversity evaluation service as an intermediary component between the recommender system and the content delivery system. This service independently evaluates the diversity of content in responses and provides feedback to modify the recommender system's behavior, thereby resolving the contradiction between personalization and diversity without requiring changes to the core recommender algorithms
Solution Approach 2:
The system changes the parameter of content selection by introducing diversity constraints as new selection criteria. Instead of solely optimizing for relevance based on user preferences, the system adjusts the content selection process to incorporate diversity requirements, effectively modifying the recommendation parameters to balance both relevance and diversity
2Ease of operation
If services increase content personalization to improve user experience, then user satisfaction is improved, but content bubble formation worsens
Solution Approach 1:
The patent implements a feedback mechanism where the diversity evaluation service continuously monitors the content responses and provides feedback signals to the recommender system. This feedback loop enables the system to detect when content bubbles are forming and automatically adjust recommendations to introduce diverse content, thereby maintaining user satisfaction while preventing content bubble formation
Solution Approach 2:
The diversity evaluation service acts as a mediator that sits between the recommender system and the user interface. It evaluates the diversity of content before it reaches the user and provides guidance to modify the recommendation process, effectively preventing harmful content bubbles from forming while preserving good user experience
3Measurement precision
If recommender systems filter content based on user interests, then information quality is improved, but exposure to diverse topics deteriorates
Solution Approach 1:
The system applies partial action by selectively introducing diverse content only when necessary, rather than fundamentally changing the personalization approach. The diversity evaluation service identifies specific cases where diversity is lacking and applies targeted modifications to those specific recommendations, maintaining high information quality while occasionally introducing diverse content to prevent information silos
Data Source
AI summary
Embodiments of the present invention provide systems, methods, and computer program products for processing responses from services (e.g., content providers) and managing content tailoring by services and/or recommender systems used by those services. Embodiments of the present invention can afford users with the ability to control the diversity of content in responses provided by services based one or more detected themes of the responses. Furthermore, embodiments of the present invention may be used to provide users with enriched responses from services, without needing cooperation of those services.


