Personalization Broadcast System for Digital Service Signal Processing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current broadcast systems fail to effectively collect and process user information for personalized content delivery in non-real-time (NRT) services, leading to suboptimal content selection and decreased user convenience.
Innovation Solution
A personalization broadcast system that collects and processes user information through a digital broadcast system, utilizing techniques like automatic content recognition (ACR) and digital watermarking to provide personalized content optimized for user preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If user information is collected for personalization service, then content selection accuracy is improved, but system complexity increases
Solution Approach 1:
The user information processing system is segmented into distinct functional modules: a user information collection unit that gathers data from multiple sources, a user information processing unit that analyzes and categorizes the collected data, and a content selection unit that applies processing results to select personalized content. This modular segmentation reduces overall system complexity by allowing each component to be developed, tested, and maintained independently while improving content selection accuracy through comprehensive user information analysis.
2Adaptability or versatility
If comprehensive user information is processed, then personalization service quality is improved, but processing time increases
Solution Approach 1:
The system performs preliminary processing of user information by pre-categorizing and structuring collected data into meaningful user profiles before content selection is needed. User preferences, viewing habits, and demographic information are processed and stored in an organized manner in advance, enabling the content selection unit to quickly retrieve and apply relevant user characteristics without performing complex analysis at the moment of content selection, thus reducing processing time while maintaining high personalization quality.
Data Source
Figure 1~2
Figure 3~4
Figure 5
AI summary
An apparatus of processing a digital service signals and a method thereof are disclosed. The present invention includes a PDI module configured to receive a PDI table, wherein the PDI table includes at least one question element having attributes of a PDI question, wherein the PDI table further includes a table Id field identifying the PDI table, a table version field indicating a version of the PDI table and a time field indicating a date and a time of the most recent change to the PDI question and extract the PDI question from the at least one question element, wherein each of the at least one question element has a different type, a PDI answer module configured to receive a PDI answer according to the extracted PDI question, a filtering module configured to receive a filtering criteria information and filter contents of the digital service signal by comparing the filtering criteria information against the received the PDI answer and a content storing module configured to download the filtered contents, wherein the type of the at least one question element indicates a type for the PDI question with one of an integer answer, a Boolean answer, a selection answer, a text answer and an answer with no PDI question.