Age-Based Audiovisual Search Prioritization for Child Viewers
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Solution Overview
Problem
The complexity of finding audiovisual content increases with the number of channels and available content, making it difficult for viewers, especially children, to locate desired content due to overlapping attributes and varying search abilities based on age and familiarity with titles or characters.
Innovation Solution
A system that prioritizes audiovisual content search results based on a viewer's age, search habits, and viewing history, using modules to determine and analyze metadata and provide age-appropriate and relevant content recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the number of channels and available content increases, then the quantity of content to consume increases, but the complexity of finding content increases
Solution Approach 1:
The system uses viewer feedback (age information, search history, viewing patterns) to continuously refine and personalize search results. The set-top box learns from user interactions and adjusts content prioritization dynamically, making the search system adapt to individual viewer needs and reducing complexity over time
Solution Approach 2:
The system pre-processes and organizes content metadata, tags, and attributes before search queries are submitted. By preparing content information in advance and structuring it according to multiple attributes (age-appropriateness, genre, actors, etc.), the system reduces the computational complexity during actual search operations
2Adaptability or versatility
If more content is made available, then the variety of content increases, but the difficulty of detecting and measuring desired content increases
Solution Approach 1:
The system segments the large content library into multiple categorized groups based on various attributes (age ratings, genres, actors, themes). By dividing the content space into manageable segments with distinct metadata tags, the system makes it easier to detect and retrieve specific content types without searching through the entire library
Solution Approach 2:
The system introduces metadata and tagging systems as intermediaries between the viewer and the content. These intermediate data structures (age ratings, content descriptors, search indexes) facilitate the detection and measurement of content properties, making it easier to find appropriate content without directly analyzing all content attributes
3Measurement precision
If search results are prioritized based on multiple criteria, then the relevance of results improves, but the device complexity increases
Solution Approach 1:
The system applies different prioritization weights and criteria based on local conditions - specifically, the viewer's age group. Different age segments receive customized search result prioritization rules, allowing the system to maintain high accuracy for each demographic while managing complexity through localized rather than universal processing rules
Data Source
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AI summary
Embodiments are directed towards selecting content search results based on the age of the viewer. The content receiver receives search criteria for a viewer, which may include the age of the viewer. The content receiver obtains search results from a search of a plurality of content. The search results are prioritized based on the age of the viewer and presented to the viewer. In this way, searching for "dog" for a four year-old may provide or prioritize different results compared to search for "dog" for an eight year-old.