Content Filtering via Custom Metadata Question-Answer Matching
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Solution Overview
Problem
Current content distribution systems are limited in their ability to provide metadata filtering attributes beyond those standardized, preventing providers from targeting specific viewer interests and needs, such as job-hunting trends, which restricts the delivery of relevant content to clients.
Innovation Solution
A transmission and reception system that generates and transmits question information to clients, allowing providers to set answer information as metadata, enabling matching between user preferences and content, thereby allowing for the distribution of content that meets current viewer needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If metadata filtering attributes are restricted to standardized sets, then system compatibility and standard compliance are improved, but the ability to target specific viewer interests and needs deteriorates
Solution Approach 1:
The metadata structure is segmented into standardized filtering attributes (for compatibility) and custom filtering attributes (for specific targeting). The system processes these separately, applying standardized attributes for basic filtering and custom attributes for refined targeting, thus resolving the contradiction between standard compliance and adaptability.
Solution Approach 2:
A custom metadata attribute handling mechanism acts as an intermediary between the standardized metadata framework and the need for custom filtering. This intermediary layer allows custom attributes to be processed without violating standardized protocols, enabling both standard compliance and extended functionality.
2Adaptability or versatility
If custom metadata attributes are introduced, then content relevance to viewer needs is improved, but system complexity and processing requirements deteriorate
Solution Approach 1:
Custom metadata attribute processing is extracted from the core standardized filtering mechanism. The system maintains a separate processing path for custom attributes that operates parallel to standardized filtering, reducing the complexity burden on core system components while enabling enhanced content relevance.
Solution Approach 2:
The metadata processing system is made dynamic by allowing selective application of custom attribute handling based on content and viewer profiles. The system adapts its processing complexity by enabling or disabling custom attribute processing based on current needs, thus managing complexity while maintaining relevance.
3Productivity
If filtering is performed based on standardized metadata only, then processing speed and efficiency are improved, but the ability to meet current viewer needs and trends deteriorates
Solution Approach 1:
Custom metadata attributes are pre-applied to content during the content acquisition phase, before filtering occurs. This preliminary action ensures that when filtering is performed, both standardized and custom attributes are already in place, maintaining filtering efficiency while enabling response to current viewer needs through the pre-configured custom attributes.
Data Source
AI summary
Disclosed herein is a transmission apparatus for distributing a content to a client, including: a question generation section configured to generate question information representative of a question regarding liking of a user of the client; and a transmission section configured to transmit the question information and provider side answer information in the form of a bit string representative of an answer set by a provider which provides the content to the question regarding the liking of the user to the client.