Dynamic Content Scheduling for Dead Air Elimination
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Solution Overview
Problem
Traditional content delivery systems face inefficiencies in utilizing fixed time slots for advertisements and programs, often resulting in dead air or blank screens due to mismatched content lengths and viewer preferences, which can lead to lost revenue and poor viewer experience.
Innovation Solution
A dynamic content scheduling method that calculates remaining time in a fixed period and selects additional content based on user profiles and preferences, allowing for the seamless integration of advertisements or programs with varying lengths to fill gaps, thereby maximizing the use of available time slots.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fixed time slots are allocated for commercials with well-defined running times, then the scheduling is simple and reliable, but dead air or blank screens occur due to mismatched content lengths
Solution Approach 1:
The system dynamically adjusts content selection and duration based on real-time calculations of remaining time slots. Instead of fixed predetermined schedules, the system continuously adapts which commercials to play and for how long, optimizing content delivery to eliminate dead air while maintaining reliable scheduling through automated time tracking and adjustment mechanisms.
2Ease of operation
If fixed set of commercials with specific running times are aired, then the content delivery is predictable and easy to manage, but viewer engagement decreases due to inability to match content to viewer preferences
Solution Approach 1:
The system changes key parameters including content selection, duration, and sequencing based on viewer profile information and real-time slot availability. By dynamically adjusting these parameters rather than using fixed content deliveries, the system maintains ease of automated management while significantly improving adaptability to individual viewer preferences and demographics.
3Device complexity
If traditional fixed time slot allocation is used, then the system complexity is low and operation is simple, but revenue is lost due to unused time slots
Solution Approach 1:
The system performs self-service by automatically calculating remaining time slots, selecting appropriate content based on viewer profiles, and adjusting delivery parameters without requiring complex external intervention. This automated self-management approach fills previously unused time slots with relevant content, converting lost revenue opportunities into productive content delivery while keeping system complexity manageable through algorithmic automation.
Data Source
AI summary
A method for use in providing content to a user includes providing a first item of content to the user, calculating a first remaining amount of time between an end of the first item of content and an end of a fixed period of time, selecting a second item of content based on information relating to the user and with a length of the second item of content being equal to or less than the first remaining amount of time, and providing the second item of content to the user. A storage medium stores a computer program for causing a processor based system to execute these steps, and a system for use in providing content includes a processing system configured to execute these steps.