Interactive TV Content Retrieval via Viewer Profile Segmentation
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Solution Overview
Problem
The existing interactive television environment lacks personalization and engagement, as service providers tend to limit additional content to appeal to a wide viewer base, resulting in a stale viewing experience due to the need for profitability, rather than providing tailored and interactive experiences.
Innovation Solution
A method and system that involve obtaining descriptive information elements, parsing them into subsets, retrieving online content based on these subsets, and presenting it to users, allowing for personalized and interactive experiences tailored to individual viewer preferences and interests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If additional content is designed to appeal to a wide viewer base, then profitability is improved, but viewer engagement and interactivity deteriorate
Solution Approach 1:
The patent segments the audience by obtaining viewer profile information and dividing content into different categories based on viewer preferences. Instead of creating universal content, the system creates targeted content segments for different viewer groups, thereby improving engagement while maintaining profitability through selective targeting.
Solution Approach 2:
The patent applies local quality by tailoring additional content to specific viewer groups based on their profiles and preferences. Each viewer group receives customized content that appeals to their specific interests rather than generic content, thereby improving engagement and interactivity for each segment.
2Productivity
If additional content is designed to appeal to a wide viewer base, then profitability is improved, but content freshness and interactivity deteriorate
Solution Approach 1:
The patent introduces dynamics by making content selection adaptive rather than static. The system continuously updates viewer profiles and dynamically selects content based on current viewer preferences and viewing history, thereby maintaining content freshness and interactivity while managing profitability through targeted approaches.
Solution Approach 2:
The patent implements feedback mechanisms by monitoring viewer interactions with additional content and using this information to refine future content selections. This feedback loop ensures content remains fresh and relevant to viewer interests while optimizing profitability through data-driven content strategy.
3Adaptability or versatility
If personalized content is provided to each viewer, then viewer engagement is improved, but system complexity and content management deteriorate
Solution Approach 1:
The patent applies universality by creating a multi-functional content management system that handles multiple tasks through unified processes. The same system infrastructure manages content retrieval, viewer profiling, content categorization, and delivery, thereby reducing overall system complexity while enabling personalized content for each viewer.
Solution Approach 2:
The patent uses copying by creating standardized viewer profiles and content templates that can be replicated and applied to different viewers. Instead of creating entirely new content for each viewer, the system copies and adapts proven content templates to match individual viewer preferences, thereby reducing system complexity while maintaining personalization.
4Loss of information
If multiple categories of content are retrieved and presented, then content relevance is improved, but information processing and retrieval complexity deteriorate
Solution Approach 1:
The patent segments content into distinct categories based on viewer profiles and retrieves content from multiple categorized sources. This segmentation allows the system to manage information processing by handling each category separately through dedicated retrieval processes, thereby maintaining high content relevance while controlling processing complexity through modular architecture.
Data Source
AI summary
Method for retrieving online content in an interactive environment. The method is executable by a computing device. The method comprises obtaining a plurality of descriptive information elements; parsing at least some of the descriptive information elements into one or more subsets of information elements associated with respective information categories; retrieving online content for each of the one or more subsets of information elements; and causing the retrieved online content to be presented to a user.


