iTV Content Placement via Business Rules
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Solution Overview
Problem
Current interactive television (iTV) systems lack efficient methods for automating the delivery and placement of content, such as advertisements and promotions, across disparate services, failing to effectively utilize business rules for preferred placement based on various criteria like location, time, and subscriber profiles.
Innovation Solution
A system and method that organize programmable content elements using business rules for preferred placement, allowing dynamic selection and display of content based on criteria like location, time, channel, and subscriber profiles, using a server and client configuration with a programming manager to manage advertising, promotions, and video content across iTV services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual content placement methods are used in iTV systems, then content delivery can be performed, but automation efficiency is lost and manual intervention is required
Solution Approach 1:
The system enables self-service automation through business rules that automatically evaluate placement criteria and select optimal content positions without manual intervention. The programmable content elements autonomously navigate through placement opportunities based on predefined business rules, eliminating the need for manual content placement while improving delivery efficiency.
2Adaptability or versatility
If content is placed without business rules, then placement flexibility exists, but preferred placement based on location, time, and subscriber profiles cannot be achieved
Solution Approach 1:
The system applies preliminary action by pre-configuring business rules with placement criteria before content delivery. These rules are established in advance to evaluate multiple factors including location, time, and subscriber profiles, enabling the system to automatically adapt content placement to preferred positions without complex real-time decision-making.
Solution Approach 2:
The system utilizes parameter changes by dynamically adjusting content placement based on varying business rule parameters such as location, time of day, and subscriber profile characteristics. This allows the same content element to be placed differently under different conditions, achieving versatile preferred placement while managing complexity through structured parameter evaluation.
3Productivity
If traditional content delivery is used, then basic content display is achieved, but monetization opportunities through pay for placement models are lost
Solution Approach 1:
The system implements feedback mechanisms where business rules continuously evaluate placement performance and adjust content element positioning to optimize monetization. The programmable content elements receive feedback from the evaluation of placement criteria, enabling automatic refinement of placement strategies to maximize revenue opportunities while maintaining efficient automated management.
Data Source
AI summary
Preferred placement of programming content is provided by a system and method to organize or sequence the display of a set of programmable content elements of an iTV application to a viewer, using business rules that describe the preferred placement conditions or criteria. Such criteria include brand, content owner, application location, current channel, current channel family, current channel category, time of day, content category, current program, current program genre, current iTV application, current content type, and/or subscriber and set-top box profile and behavior data. In one implementation, the present invention allows for managing the ‘shelf space ’ within and for iTV applications.