Social Media Tag Correlation for Automated TV Recording
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Solution Overview
Problem
Viewers face challenges in selecting and recording television programs due to the large number of channels and schedules, as well as the difficulty in discovering programs of interest that are scheduled to be broadcast.
Innovation Solution
A system and method that integrates social media feedback data with broadcast data, using a processor and memory to identify programs of interest by correlating social media tags with scheduled broadcasts and automatically setting a recording device to capture the identified programs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If viewers manually review entire lists of television programs and schedules, then they can identify programs of interest, but the time required and complexity increase significantly due to the large quantity of channels and schedules
Solution Approach 1:
The system uses feedback from social media platforms where users can rate, comment on, and share television programs. This feedback mechanism allows the system to automatically identify programs of interest without requiring manual review of entire schedules, thus reducing time while maintaining identification accuracy.
Solution Approach 2:
The patent introduces an intermediary system that connects television broadcast data with social media feedback data. This intermediary layer automatically processes and correlates the two data sources to identify programs of interest, eliminating the need for viewers to manually review all schedules while maintaining accurate program identification.
2Ease of operation
If viewers manually select and record programs, then they can control what to view, but the complexity of selecting from multiple channels and schedules increases significantly
Solution Approach 1:
The system performs self-service by automatically analyzing social media feedback and broadcast schedules to identify and recommend programs of interest. This eliminates the need for viewers to manually navigate complex schedules and selection interfaces, significantly improving ease of operation while the system handles the complexity internally.
Solution Approach 2:
The patent replaces the mechanical manual selection process with an automated electronic system that uses algorithms to correlate social media data with broadcast schedules. This substitution eliminates the complexity of manual navigation through multiple channels and schedules, providing simple automated program identification and recording setup.
3Measurement precision
If the system processes and correlates social media feedback data with broadcast schedules, then program identification accuracy improves, but the processing complexity and computational requirements increase
Solution Approach 1:
The system segments the data processing into distinct modules: one for gathering social media feedback data, another for extracting and analyzing tags from feedback, a third for correlating with broadcast schedules, and a fourth for generating program recommendations. This segmentation allows each module to process specific tasks independently, managing overall processing complexity while maintaining high matching accuracy.
Solution Approach 2:
The patent introduces an intermediary processing layer that standardizes and pre-processes both social media feedback data and broadcast schedule data before correlation. This intermediary layer handles the complexity of data normalization, tag extraction, and schedule parsing, allowing the main correlation algorithm to focus on matching without being overwhelmed by raw data complexity.
Data Source
AI summary
Social media and recordation of programs scheduled to be broadcast is provided. Media content, including feedback data, is gathered and associated tags are extracted. A correlation of the extracted tags with digital content is performed to identify a scheduled broadcast that is related to the digital content. A time duration that a digital media content matching the digital content is present in the identified scheduled broadcast is measured. The time duration is compared to a defined value. A recording device identifier is registered with at least one social networking account. The identified schedule broadcast is matched with at least one device identifier based on a comparison of the time duration to a define value and the feedback data. A recording device associated with the matching identifier is automatically set to capture the scheduled broadcast in a data storage medium.