Content Recommendation Using Consumption Status and Identity Groups

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Solution Overview

Problem

Conventional content delivery techniques lead to 'echo chambers' where users receive homogenized content, limiting exposure to diverse perspectives and wasting computational resources through redundant content delivery.

Innovation Solution

A content aggregation application generates digital identity groups, recommending digital content based on user attributes and consumption status, avoiding duplicative content by identifying alternative content with shared characteristics and adjusting diversity levels.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If personalized content is delivered based on user preferences and behaviors, then user satisfaction is improved, but content diversity is reduced leading to echo chambers

Engineering Contradiction:

Improveuser satisfactionVSAvoidcontent diversity

Core Design Contradiction:

Ease of operationVSAdaptability or versatility

Solution Approach 1:

The system dynamically adjusts the diversity parameter in content recommendation by detecting consumption status and modifying recommendation parameters to balance personalization and diversity, preventing echo chambers while maintaining user satisfaction

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The system implements feedback mechanisms by monitoring content consumption status and using this information to adjust future recommendations, ensuring a balance between personalized content delivery and content diversity exposure

Inventive Principle:

Principle #23Feedback

2Measurement precision

If content is recommended based on user attributes, then recommendation accuracy is improved, but computational resources are wasted through redundant delivery

Engineering Contradiction:

Improverecommendation accuracyVSAvoidcomputational resource wastage

Core Design Contradiction:

Measurement precisionVSLoss of energy

Solution Approach 1:

The system performs preliminary actions by pre-detecting consumption status before content delivery and using this information to avoid redundant recommendations, reducing computational waste while maintaining accurate personalization

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system discards redundant content delivery by detecting consumption status and identifying already-consumed content, preventing wasteful re-delivery while preserving valuable recommendation data for future use

Inventive Principle:

Principle #34Discarding and recovering

Data Source

PatentUS12541550B2Content recommendations based on consumption status

Publication Date: 2026.02.03 MOTOROLA MOBILITY LLC

AI summary

Techniques for content recommendations based on consumption status are described and are implementable to generate digital identity groups within a content aggregation application and transmit digital content based on content consumption behavior of the digital identity group. For instance, a digital identity group is generated that includes a first digital identity of a user of the computing device and a second digital identity of an additional user of an additional computing device. Candidate digital content is identified to transmit to the computing device based on one or more digital attributes associated with the first digital identity. The client device then determines whether the candidate digital content is a duplicative instance of digital content based on content consumption of the digital identity group. If the candidate digital content is duplicative, the client device identifies alternative digital content for display by the client device.