20240046603. Optimized Creative and Engine for Generating the Same simplified abstract (Kinesso, LLC)

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Optimized Creative and Engine for Generating the Same

Organization Name

Kinesso, LLC

Inventor(s)

William Lyman of Nashville TN (US)

Optimized Creative and Engine for Generating the Same - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240046603 titled 'Optimized Creative and Engine for Generating the Same

Simplified Explanation

The abstract of the patent application describes a creative engine process that generates customized image and text-based messages for users in a market dominated by closed platforms. The process combines supervised machine learning, relational databases, and generative adversarial networks to create the creative content.

  • The engine first uses machine learning to identify visual features that are associated with high or low performance metrics when included in the creatives served to users with specific attributes.
  • In the second phase, the engine automatically composes creatives using optimized visual features to generate high performance metrics when served to users with real-time determined attributes.

Potential applications of this technology:

  • Customized advertising: The technology can be used to generate personalized advertisements tailored to individual users based on their attributes.
  • Content creation: It can be used to automatically create customized content for social media platforms or marketing campaigns.
  • User engagement: The technology can help increase user engagement by delivering creatives that are optimized for specific user attributes.

Problems solved by this technology:

  • Limited customization: The technology addresses the challenge of creating customized content in a market dominated by closed platforms that restrict creative customization.
  • Time-consuming content creation: It automates the process of composing creatives, saving time and effort for content creators.
  • Performance optimization: By identifying visual features associated with high performance metrics, the technology helps optimize the effectiveness of creatives.

Benefits of this technology:

  • Personalization: Users receive customized messages that are tailored to their specific attributes, increasing relevance and engagement.
  • Efficiency: The automated creative engine process saves time and resources in content creation.
  • Performance optimization: The technology helps improve the performance metrics of creatives by identifying and using visual features associated with high performance.


Original Abstract Submitted

a creative is uniquely and optimally customized for every user impression, using the materials and tools available to those wishing to send image- and text-based messages in the market dominated by walled garden platforms, together with a creative e engine process that combines supervised machine learning, relational databases, and generative adversarial networks in a particular configuration that generates the creative. in a first phase, the engine uses machine learning to identify creative visual features that are associated with high (or low) levels of performance metrics when included in creatives served to users with a given high-dimensional set of user attributes. in the second phase, the engine automatically composes creatives that are composed of visual features that are optimized to create high performance metrics when served to users with a set of attributes that are determined in real time.

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