Microsoft Technology Licensing, LLC (20240297856). LEVERAGING INFERRED CONTEXT TO IMPROVE SUGGESTED MESSAGES simplified abstract

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LEVERAGING INFERRED CONTEXT TO IMPROVE SUGGESTED MESSAGES

Organization Name

Microsoft Technology Licensing, LLC

Inventor(s)

Poonam Ganesh Hattangady of Kirkland WA (US)

Susan Marie Grimshaw of Kirkland WA (US)

Michael Ivan Borysenko of Brighton (CA)

LEVERAGING INFERRED CONTEXT TO IMPROVE SUGGESTED MESSAGES - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240297856 titled 'LEVERAGING INFERRED CONTEXT TO IMPROVE SUGGESTED MESSAGES

Simplified Explanation: The patent application describes systems and methods for using a generative artificial intelligence model to generate a suggested draft reply to a selected message, improving the reply based on inferred context.

Key Features and Innovation:

  • Utilizes inferred context to enhance suggested draft replies.
  • Incorporates message data, message thread history, profile information, and relationship data to tailor responses.
  • Infers user's preferred communication style and talking points to personalize replies.

Potential Applications: This technology can be applied in messaging platforms, customer service interactions, email responses, and social media communication.

Problems Solved:

  • Enhances efficiency in drafting replies to messages.
  • Improves user experience by providing personalized responses.
  • Helps users maintain consistent communication styles.

Benefits:

  • Saves time in composing messages.
  • Increases user engagement and satisfaction.
  • Enhances communication effectiveness.

Commercial Applications: Potential commercial applications include integration into messaging apps, customer service software, and email platforms to streamline communication processes and improve user experience.

Prior Art: Readers can explore prior art related to generative AI models in messaging systems, natural language processing, and personalized content generation.

Frequently Updated Research: Stay informed on the latest research developments in generative AI models, contextual inference in messaging systems, and personalized communication technologies.

Questions about AI: 1. How does the technology infer the user's preferred communication style? 2. What are the key factors considered in tailoring the suggested draft replies?


Original Abstract Submitted

systems and methods for using a generative artificial intelligence (ai) model to generate a suggested draft reply to a selected message. a message generation system and method are described that use inferred context to improve the suggested draft reply message for the user. various message data and additional context are obtained and included in a prompt provided to the ai model to improve suggested content. in some examples, the message data and additional context include a message thread history and previously sent messages, profile information of the sender and recipient(s) of the selected message, known relationship information between the sender and the user, etc. for instance, the user's preferred communication style and talking points can be inferred based on the profile data, relationship data, and the user's past communications with similar participants and used to tailor the suggested draft reply to the user.

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