OTT Content Matching for Personalized Service Package Selection
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Solution Overview
Problem
Content consumers face overwhelming choices in OTT services and lack a comprehensive way to select personalized entertainment packages that align with their interests and budget, making it difficult to navigate the evolving internet TV landscape.
Innovation Solution
A system and method using a matching algorithm that interviews consumers about their preferences in various categories, assigns point scores to content services based on these preferences, and recommends personalized content packages within their budget, offering subscription and bidding options.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If consumers access multiple OTT services to get personalized content, then content variety and personalization improve, but system complexity and difficulty in selecting services increase
Solution Approach 1:
The patent introduces an intermediary system that acts as a mediator between consumers and multiple OTT services. This system collects user preferences, analyzes available content across different services, and generates personalized recommendations, thereby simplifying the complex task of navigating numerous services while maintaining high personalization levels.
Solution Approach 2:
The patent creates a universal platform that works across multiple OTT services and devices. This multi-functional system can access content from various providers, operate on different devices (smartphones, tablets, computers), and provide consistent personalized recommendations throughout, reducing the complexity users would otherwise face when dealing with each service separately.
2Device complexity
If traditional distributors offer limited content packages, then device complexity and selection process simplify, but content variety and consumer choice decrease
Solution Approach 1:
The patent segments the large universe of available content into manageable categories and groups based on user preferences, viewing habits, and content types. By dividing the overwhelming array of OTT services and content into organized segments, the system maintains simplicity in the selection process while still providing access to diverse content varieties.
3Measurement precision
If consumers manually evaluate each OTT service to find personalized content, then content selection accuracy improves, but time consumption and operational effort increase
Solution Approach 1:
The patent performs preliminary actions by pre-collecting user preference data, pre-analyzing content catalogs from multiple OTT services, and pre-calculating compatibility scores before the user actually needs to select content. This advance preparation enables rapid, accurate recommendations when users interact with the system, eliminating the need for manual evaluation at the moment of content selection.
Solution Approach 2:
The patent implements feedback mechanisms that continuously learn from user responses, viewing patterns, and preferences. By analyzing user feedback on recommended content and adjusting algorithms accordingly, the system improves content matching accuracy over time while reducing the effort users need to invest in the selection process.
Data Source
AI summary
A system for assisting a content consumer to select content services, the system including a processor that is configured to execute a matching algorithm. The matching algorithm comprises interviewing the content consumer for questions in a plurality of categories, determining a point system for answers obtained by the interviewing step, wherein the answers indicate entertainment interests of the content consumer; calculating a service score for each content service based on the point system, wherein the service score indicates an agreement between a content service and the entertainment interests of the content consumer; and selecting a pre-determined number of content services based on the service score.