Social Network Content Distribution Conflict Resolution

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Current content distribution methods often rely on general demographic assumptions, failing to cater to individual user interests as not all users fit into predefined categories, leading to irrelevant content selection.

Innovation Solution

A system that dynamically categorizes users into social network groups based on their activity information and common interests, providing tailored media services and targeted advertising by resolving conflicts between multiple social category assignments.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If content selection is based on general demographic assumptions, then content distribution can be simplified and broadly applied, but the relevance and interest level for individual users decreases

Engineering Contradiction:

Improvecontent relevance to user interestsVSAvoiduser categorization system complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent segments users into different social categories (e.g., sports fans, movie enthusiasts, news readers) based on their activity information and social network connections. This segmentation allows the system to tailor content selection to specific user groups rather than applying generic demographic assumptions to all users, thereby improving content relevance while managing complexity through structured categorization.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system dynamically determines user social categories based on real-time activity information and social network data rather than using static demographic assignments. This dynamic approach allows the system to adapt content recommendations as user interests and social connections evolve, improving adaptability without requiring a permanently complex system structure.

Inventive Principle:

Principle #15Dynamics

2Adaptability or versatility

If users are assigned to multiple social categories, then the system can capture diverse user interests, but conflict resolution becomes necessary and complicates media service selection

Engineering Contradiction:

Improveuser interest coverageVSAvoidmedia service selection process

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The system uses feedback mechanisms to determine a stronger interest among multiple social categories by analyzing user activity patterns, engagement metrics, and preference data. This feedback loop allows the system to automatically resolve conflicts between competing category assignments based on actual user behavior rather than requiring manual intervention, thus maintaining ease of operation while capturing diverse interests.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system changes parameters such as interest weightings, category priorities, and engagement thresholds to resolve conflicts between multiple social categories. By dynamically adjusting these parameters based on user activity information, the system can determine a stronger interest and select appropriate media services without complicating the selection process for end users.

Inventive Principle:

Principle #35Parameter changes

3Reliability

If the system provides personalized media services based on detailed social category analysis, then user engagement improves, but the processing requirements and system resources increase

Engineering Contradiction:

Improveuser engagement qualityVSAvoidsystem processing energy

Core Design Contradiction:

ReliabilityVSUse of energy by moving object

Solution Approach 1:

The system performs preliminary actions by pre-determining user social categories and common interests based on activity information before content delivery. By conducting this analysis in advance and caching the results, the system reduces the processing energy required during actual content delivery while maintaining high user engagement quality through personalized recommendations.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system uses multi-functional processing that serves multiple purposes: categorizing users for content recommendation, analyzing social network connections, determining common interests, and resolving category conflicts all through a single integrated analysis framework. This universal approach reduces redundant processing and optimizes energy usage while delivering personalized media services.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS10027612B2Method and apparatus for managing content distribution according to social networks

Publication Date: 2018.07.17 AT&T INTELLECTUAL PROPERTY I L P

AI summary

Aspects of the subject disclosure may include, for example, determining a common interests associated with a group of users according to activity information obtained for the group of users, providing a first media service during the consuming of the media content to first equipment of a remainder of the group of users where the first media service is selected according to a first common interest, and providing one of the first media service or a second media service during the consuming of the media content to second equipment of a subset of the group of users according to a conflict resolution, where the second media service is selected according to the second common interest, and where the conflict resolution is based on determining a stronger interest, between the first and second common interests, that is associated with each member of the subset of the group of users. Other embodiments are disclosed.