Dynamic Advertising Selection in Social Broadcast Systems
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Solution Overview
Problem
Traditional media broadcasting models lack direct consumer input, making it difficult to predict user preferences over long periods and resulting in static content programming that does not effectively engage users.
Innovation Solution
A social broadcasting system that allows users to interactively select and influence content through a web and mobile platform, using user profiles and community participation to dynamically determine advertising and content inclusion, integrating user-generated content and real-time feedback to create a community-driven broadcast stream.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional static content programming is used, then media outlets can maintain simple content determination processes, but user engagement and relevance deteriorate due to lack of direct consumer input
Solution Approach 1:
The patent implements dynamic content selection by allowing users to vote on and influence broadcast content in real-time. The system transitions from static pre-determined programming to a dynamic model where content is selected based on live user participation, ensuring the broadcast adapts to current user preferences while maintaining operational simplicity through automated vote processing
Solution Approach 2:
The system incorporates direct user feedback through voting mechanisms where listeners can indicate their content preferences. This feedback loop enables the broadcast to respond to consumer input, improving relevance and engagement while the automated processing of votes maintains ease of operation for content determination
2Device complexity
If static content programming is used, then media outlets can avoid complex real-time processing, but prediction of user preferences over long periods becomes difficult
Solution Approach 1:
The system enables users to directly indicate their preferences through voting, eliminating the need for complex prediction algorithms. Users actively participate in determining content selection, providing precise information about their preferences without requiring the system to guess or predict what they want to hear
Solution Approach 2:
The system collects user preference data in advance through voting mechanisms before content selection is finalised. This preliminary input from users allows the system to make accurate content determination without requiring complex real-time analysis or long-term prediction models
3Adaptability or versatility
If user interaction platforms are integrated, then user engagement and content relevance improve, but system complexity and implementation difficulty increase
Solution Approach 1:
The patent employs a multi-functional voting system that serves multiple purposes: content selection, user engagement measurement, and preference analysis. This universal voting mechanism handles various functions including determining broadcast content, measuring user interest levels, and providing demographic insights, thereby reducing overall system complexity despite the added interaction capabilities
Data Source
AI summary
A method of determining advertising content to be included in a broadcast is disclosed. An inclusion criterion is received for each of a plurality of items of advertising content to be used to determine one or both of whether and how that item of advertising content is to be included in a broadcast. Stored user profile data associated with a plurality of users who provided within an observation period an indication that the user was consuming the broadcast is processed, and the respective inclusion criteria of the items of advertising content, to select and integrate into the broadcast selected ones of the items of advertising content.