Personalized Content Delivery via PDI Metadata in IP Broadcasting
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Solution Overview
Problem
Current digital broadcasting using IP transmission methods lacks a technical means to provide content tailored to the preferences of end users, as there is no established method for dynamic content delivery based on user preferences.
Innovation Solution
A reception and transmission apparatus and method that processes question information related to user preferences, utilizing delivery information for dynamic metadata and reference information to generate answer sets, allowing for personalized content delivery by integrating a PDI mechanism that includes PDI-Q, PDI-A, and PDI-S components within the IP transmission framework.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If IP transmission method is adopted for digital broadcasting, then transmission efficiency and advanced services are improved, but the ability to provide content according to user preferences deteriorates
Solution Approach 1:
The content delivery system is segmented into multiple independent components: question information (PDI-Q) for user preferences, answer information (PDI-A) for content attributes, and delivery information (PDI-S) for content selection. This segmentation allows the system to maintain efficient IP transmission while enabling personalized content delivery through modular preference matching.
Solution Approach 2:
Preference information (PDI) acts as an intermediary between the user and the content delivery system. The PDI-Q, PDI-A, and PDI-S components serve as mediators that translate user preferences into automated content selection, bridging the gap between efficient IP transmission and personalized service delivery without requiring complex user interfaces.
2Adaptability or versatility
If dynamic metadata service is delivered to express user preferences, then content personalization is improved, but system complexity increases
Solution Approach 1:
The system uses parameter-based preference expression through PDI-Q, PDI-A, and PDI-S. By changing the parameters (questions, answers, and delivery rules) rather than the system structure, the patent enables content personalization while maintaining relatively simple system architecture. The parameters can be dynamically adjusted without modifying the underlying transmission infrastructure.
3Ease of operation
If question information and answer information are processed to generate personalized content, then user experience is improved, but processing complexity increases
Solution Approach 1:
The system performs preliminary actions by pre-defining PDI-Q (questions about user preferences), PDI-A (answers describing content attributes), and PDI-S (delivery rules). These preliminary structures are established before actual content delivery, allowing the reception apparatus to automatically match content to users based on pre-configured preferences without complex real-time processing.
Solution Approach 2:
The reception apparatus performs self-service by automatically processing PDI-Q, PDI-A, and PDI-S to select and deliver appropriate content without requiring continuous user input or complex external processing. The system uses the delivered preference information to autonomously determine which content to provide, reducing both processing complexity and user burden.
Data Source
AI summary
The present technology relates to a reception apparatus, a transmission apparatus, and a data processing method capable of providing content according to preferences of an end user. The reception apparatus provides content according to the preferences of an end user by processing question information, which indicates a question about the preferences of the end user and is delivered together with content, on the basis of at least one of delivery information indicating that a service for providing dynamic metadata expressing the preferences of the end user is delivered or reference information indicating a reference destination of an application for generating first answer information indicating an answer set by the end user for the question about the preferences of the end user. The present technology can be applied to, for example, a television receiver.