Dynamic Visual Media Personalization via User Characteristic Analysis
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Solution Overview
Problem
Intuitive marketing systems struggle to dynamically adapt to user interests outside specific subcategories identified by collected data, leading to generic product presentations that fail to capture user attention.
Innovation Solution
A media characterization system that identifies user characteristics through machine-learning models, dynamically changing media elements within visual media to correlate with user interests, ensuring personalized product presentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If marketing systems use collected personal data to target specific customer subcategories, then marketing precision is improved, but adaptability to user interests outside identified subcategories deteriorates
Solution Approach 1:
The system dynamically changes media elements based on real-time user characteristics rather than relying on static pre-collected data. The media characterization system continuously adapts the presentation of visual media by identifying user characteristics and dynamically modifying media elements to correlate with identified characteristics, enabling the system to respond to interests outside pre-defined subcategories.
Solution Approach 2:
The system changes parameters of visual media presentation by dynamically modifying media elements such as images, videos, or text content based on identified user characteristics. This parameter change approach allows the marketing system to adjust the relevance and appeal of products by altering media presentation parameters rather than being constrained to fixed subcategory targeting.
2Device complexity
If visual media presents generic product information to all users, then device complexity is reduced, but user engagement deteriorates
Solution Approach 1:
The system segments visual media into distinct media elements that can be independently modified based on user characteristics. By dividing the visual media content into separable elements, the system can apply personalized changes to specific elements while maintaining the overall media structure, thus improving user engagement without requiring complete redesign of the entire media presentation system.
Solution Approach 2:
The media characterization system acts as an intermediary between the user and the visual media content. It identifies user characteristics and serves as a mediator that dynamically adjusts media elements to correlate with those characteristics, enabling personalized presentation without requiring direct complex interactions between the user and the media system.
Data Source
AI summary
One embodiment provides a method, including: receiving, at an information handling device, input from a user to display at least one piece of visual media comprising a plurality of media elements; identifying, using the media characterization system, at least one characteristic of the user; and dynamically changing, utilizing the media characterization system, at least one of the plurality of media elements to another media element option, wherein the another media element option is correlated to the user based upon the at least one characteristic. Other aspects are claimed and described.


