Dynamic Profile Scoring for Relevant Content Packet Prioritization

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Solution Overview

Problem

Content management systems deliver a significant amount of computing resources to transmit and display content that is not contextually relevant to users, affecting device performance and battery life, especially on mobile devices with finite resources.

Innovation Solution

A content management system generates personalized content recommendations based on a dynamically updated profile matching score, prioritizing content items with higher interaction likelihood, thereby optimizing resource allocation and reducing irrelevant content delivery.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If content management systems deliver a large amount of content to users, then the quantity of content delivered increases, but device performance and battery life deteriorate due to processing irrelevant content

Engineering Contradiction:

Improvequantity of content deliveredVSAvoiddevice energy consumption

Core Design Contradiction:

Quantity of substanceVSUse of energy by moving object

Solution Approach 1:

The system extracts and delivers only the relevant portion of content based on user profile matching scores, removing irrelevant content from the delivery stream. This reduces the quantity of content processed by mobile devices while maintaining user interest, thereby lowering energy consumption without sacrificing content value.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The system applies different quality levels of content delivery based on user profiles and matching scores. High-match-content receives priority delivery with higher quality, while low-match-content is filtered or delivered at lower quality, optimizing resource allocation and reducing overall device processing burden.

Inventive Principle:

Principle #3Local quality

2Adaptability or versatility

If content management systems deliver comprehensive content to all users, then content coverage increases, but resource allocation efficiency deteriorates due to uniform delivery regardless of user interest

Engineering Contradiction:

Improvecontent coverageVSAvoidresource allocation efficiency

Core Design Contradiction:

Adaptability or versatilityVSProductivity

Solution Approach 1:

The system dynamically adjusts content delivery based on real-time user profile matching scores. Content recommendations are continuously updated based on user interactions, device type, and contextual data, allowing the system to adapt content coverage to individual user needs while optimizing resource allocation efficiency through targeted delivery.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system changes delivery parameters such as content selection, prioritization weight, and filtering thresholds based on user profile matching scores. By adjusting these parameters dynamically, the system maintains comprehensive content coverage for different user segments while significantly improving resource allocation efficiency through personalized delivery strategies.

Inventive Principle:

Principle #35Parameter changes

3Reliability

If content management systems prioritize contextually relevant content delivery, then user experience improves, but system complexity increases due to profile matching and prioritization mechanisms

Engineering Contradiction:

Improveuser experience qualityVSAvoidsystem complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system introduces user profiles as an intermediary layer between content sources and users. These profiles store matching scores and preference data that mediate content selection, allowing the system to deliver contextually relevant content without requiring complex real-time analysis at each delivery point, thus improving user experience while managing system complexity.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system performs preliminary actions by pre-processing user data into profiles with matching scores before content delivery. This advance preparation of user preference information simplifies the content selection process, enabling efficient prioritization of contextually relevant content without adding complexity during the actual delivery operation.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS20260014482A1System and methods for prioritizing content packets based on a dynamically updated list of profile attributes

Publication Date: 2026.01.15 DK CROWN HOLDINGS INC

AI summary

A method for providing content items identifying recommendations includes identifying for a first user profile at least one active fantasy sports lineup including a list of players and one or more previous fantasy sports lineups, and generating, for a user, a recommendation profile including a plurality of relevance scores. The method further includes identifying a plurality of candidate recommendations, and determining, for each of the plurality of candidate recommendations, a match score indicating a level of relevance between the candidate recommendation and the recommendation profile. The method further includes prioritizing the plurality of candidate recommendations based on the relevance scores, and providing to a device associated with the first user profile, a content item identifying a selected candidate content management of the plurality of candidate recommendations based on the relevance score between the selected candidate recommendation and the recommendation profile.