Dynamic Media Content Synthesis for Personalized Audio Advertising
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Solution Overview
Problem
Current digital audio advertising platforms fail to provide targeted content effectively, as creating audio content is costly and time-consuming, and existing solutions can only target specific groups rather than individual users.
Innovation Solution
A system that dynamically generates targeted media content by selecting and populating templates with user and product attributes, using text sanitization techniques, and converting the content into appropriate formats to match user consumption, enabling personalized and efficient delivery of advertisements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional studio-based audio content creation is used, then content quality can be maintained, but creation cost and time increase significantly
Solution Approach 1:
The patent uses text templates as reusable copies that can be dynamically populated with different user and product data. Instead of creating unique audio content from scratch for each advertisement, the system copies and customizes predefined templates, dramatically reducing creation time and cost while maintaining consistent quality through standardized template structures.
Solution Approach 2:
The system changes parameters by dynamically substituting specific data (user attributes, product information) into fixed template structures. This allows the same template to generate infinitely varied personalized content by simply changing the input parameters rather than recreating the entire content structure each time.
2Adaptability or versatility
If traditional audio advertising is used, then content can be created, but it can only target specific groups rather than individual users
Solution Approach 1:
The patent segments the audience into individual users by incorporating user-specific attributes (name, location, preferences) into the content generation process. The template system is divided into customizable fields that can be individually populated with user-specific data, enabling precise individual targeting rather than broad group targeting.
Solution Approach 2:
The system transitions from static, pre-recorded audio advertisements to dynamic content generation where templates are actively populated with real-time user data. This dynamic approach allows the same template to adapt to each individual user's characteristics, enabling scalable personalization without manually creating separate content for each user.
3Adaptability or versatility
If multiple iterations of audio content are created for different user groups, then some targeting is achieved, but the cost and time for each iteration increases
Solution Approach 1:
The patent creates universal templates that serve multiple functions - a single template structure can target any user group or individual by simply changing the input data. This multi-functional template approach eliminates the need to create separate content iterations for different segments, as the same template adapts to all segments through parameter substitution.
Solution Approach 2:
The system performs preliminary action by pre-defining template structures with all necessary placeholders and formatting before actual content generation. This upfront preparation allows rapid customization for different user groups without requiring time-consuming re-recording or re-editing, as the structural work is already completed in the template design phase.
Data Source
AI summary
Described herein are a system and techniques for dynamically generating targeted media content. In some embodiments, the system identifies an appropriate template based on the content currently being consumed by a user, preferences or attributes associated with that user, a product to be presented, or any other suitable factor. Once a temple has been selected, a product may be selected for presentation to the user based on the content currently being consumed by a user, preferences or attributes associated with that user, or any other suitable factor. The selected template is then populated using attributes of the user and/or the product. Once populated, the text in the populated template may be smoothed. The generated content may then be synthesized into a different format, in order to match a format of content currently being consumed by a user, which may then be presented to the user.