18477735. SYSTEMS AND METHODS FOR CONTEXTUAL CONTENT GENERATION simplified abstract (ADOBE INC.)

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SYSTEMS AND METHODS FOR CONTEXTUAL CONTENT GENERATION

Organization Name

ADOBE INC.

Inventor(s)

Rebecca Dorothy West of Auburn CA (US)

Lauren Dest of Austin TX (US)

Mihir Naware of Redwood City CA (US)

Elliot Axel Patrick Puzenat of Le Plessis Robinson (FR)

Stephen Becigneul of Levallois-Perret (FR)

Alexis Tessier of Eckwersheim (FR)

Roger K. Brooks of Palo Alto CA (US)

Suman Basetty of Fremont CA (US)

Kimberly K. Lenox of Orinda CA (US)

Anil Kamath of Los Altos Hills CA (US)

SYSTEMS AND METHODS FOR CONTEXTUAL CONTENT GENERATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 18477735 titled 'SYSTEMS AND METHODS FOR CONTEXTUAL CONTENT GENERATION

Simplified Explanation: The patent application describes a method for generating contextual content based on a content provider's profile information and interaction history.

Key Features and Innovation:

  • Obtaining a content provider context including profile information and interaction history.
  • Generating content for a project within a user experience platform based on the obtained context.
  • Using a machine learning model to generate content based on prompts derived from the content provider context.

Potential Applications: This technology can be applied in various industries such as digital marketing, personalized content creation, and user experience enhancement.

Problems Solved: This technology addresses the challenge of creating relevant and engaging content by leveraging the content provider's profile information and interaction history.

Benefits:

  • Personalized content creation for users.
  • Improved user engagement and experience.
  • Efficient content generation process.

Commercial Applications: The technology can be utilized by digital marketing agencies, content creation platforms, and online service providers to enhance user engagement and drive conversions.

Prior Art: Readers can explore prior art related to contextual content generation, machine learning in content creation, and user experience platforms to gain a deeper understanding of the technology.

Frequently Updated Research: Stay updated on advancements in machine learning algorithms for content generation, user profiling techniques, and user experience optimization strategies.

Questions about Contextual Content Generation: 1. How does the technology ensure the generated content aligns with the content provider's profile information and interaction history? 2. What are the potential privacy implications of utilizing a content provider's interaction history for content generation?


Original Abstract Submitted

A method, non-transitory computer readable medium, apparatus, and system for contextual content generation are described. An embodiment of the present disclosure includes obtaining, by a user experience platform, a content provider context for the user experience platform. The content provider context includes profile information for a content provider and an interaction history of the content provider. The user experience platform obtains a prompt based on the content provider context. Embodiments of the present disclosure further include generating content for a project within the user experience platform based on the prompt using a machine learning model.