Media System for Personalized Content Bundle Optimization

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Solution Overview

Problem

Consumers face difficulty in aggregating channels due to the disaggregation of the TV viewing service and multichannel video programming distributor (MVPD) universe, where companies offer smaller bundles and make channels available directly outside traditional MVPD spaces, making it hard for users to find optimal content collections and appropriate pricing.

Innovation Solution

A media system that collects user data to determine consumption patterns, maps user affinity to content, and creates multi-dimensional arrays to analyze content relationships, allowing for the creation of personalized content bundles and pricing options based on customer value.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If channels are disaggregated and offered as smaller bundles directly to consumers, then companies can offer more flexible content options, but consumers face difficulty in aggregating channels and finding optimal content collections

Engineering Contradiction:

Improvecontent bundle flexibilityVSAvoidchannel aggregation difficulty

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The patent introduces an automated content aggregation system that acts as an intermediary between content providers and consumers. This system analyzes user preferences, consumption patterns, and content metadata to automatically assemble optimized content bundles, eliminating the manual aggregation effort required by consumers while maintaining the flexibility of disaggregated content offerings.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system dynamically adjusts bundle parameters based on user behavior data, content performance metrics, and market conditions. By changing bundle composition, pricing, and recommendations in real-time, the system maintains flexibility while simplifying consumer decision-making through personalized, data-driven bundle optimization.

Inventive Principle:

Principle #35Parameter changes

2Ease of operation

If traditional MVPD bundling is maintained, then consumers have simplified channel aggregation, but companies cannot offer smaller flexible bundles outside traditional spaces

Engineering Contradiction:

Improvechannel aggregation simplicityVSAvoidbundle size flexibility

Core Design Contradiction:

Ease of operationVSAdaptability or versatility

Solution Approach 1:

The patent segments content into modular, independently selectable units while maintaining traditional bundle structures as a subset option. Consumers can choose pre-assembled traditional bundles for simplicity or allow the system to create customized segments based on their specific preferences, enabling both simplicity and flexibility to coexist.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system serves multiple functions: it maintains compatibility with traditional MVPD bundling models while simultaneously enabling flexible, customized content aggregation. The same platform supports both simplified traditional bundles and personalized optimized bundles, making it universally applicable to different consumer preferences and market segments.

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Adaptability or versatility

If automated content aggregation and optimization is implemented, then consumers benefit from personalized content bundles, but the system complexity increases significantly

Engineering Contradiction:

Improvepersonalized content optimizationVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system employs self-service mechanisms where algorithms automatically analyze user behavior, content metadata, and market data to generate optimized bundles without requiring complex manual configuration. The system serves itself by continuously learning from user interactions and automatically adjusting bundle compositions, reducing the operational complexity burden.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system implements continuous feedback loops where user consumption patterns, engagement metrics, and preference data are constantly analyzed to refine bundle recommendations. This automated feedback mechanism allows the system to adapt and optimize without manual intervention, managing complexity through data-driven automation rather than complex rule-based systems.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS10820027B2Method and system for re-aggregation and optimization of media

Publication Date: 2020.10.27 SONY INTERACTIVE ENTERTAINMENT LLC

AI summary

A media system for providing community and behaviorally driven content selection and bundling based on user consumption data and an analysis of user affinity. The media system performs user affinity representations and analyzes content affinity. The media system performs content affinity representations and maps content analysis into groups. The media system creates multi-dimensional arrays and uses for user content, maps pricing choices to subscriber value, and, using algorithms which may include Artificial Intelligence and Machine Learning approaches, maps groups to pricing choices.