18314478. ELECTRONIC MESSAGE SYSTEM WITH ARTIFICIAL INTELLIGENCE (AI)-GENERATED PERSONALIZED SUMMARIZATION simplified abstract (Microsoft Technology Licensing, LLC)

ELECTRONIC MESSAGE SYSTEM WITH ARTIFICIAL INTELLIGENCE (AI)-GENERATED PERSONALIZED SUMMARIZATION

Organization Name

Microsoft Technology Licensing, LLC

Inventor(s)

Kuleen Haresh Mehta of Sammamish WA (US)

Anton Oguzhan A. Andrews of Kirkland WA (US)

Poonam Ganesh Hattangady of Seattle WA (US)

Michael Francis Palermiti, Ii of Indian Wells CA (US)

Caleb Whitmore of San Francisco CA (US)

Erich Jose Martino Pena of San Francisco CA (US)

Alan Mark Thomas of Woodstock GA (US)

Matthew David Wood of Sammamish WA (US)

ELECTRONIC MESSAGE SYSTEM WITH ARTIFICIAL INTELLIGENCE (AI)-GENERATED PERSONALIZED SUMMARIZATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 18314478 titled 'ELECTRONIC MESSAGE SYSTEM WITH ARTIFICIAL INTELLIGENCE (AI)-GENERATED PERSONALIZED SUMMARIZATION

The abstract describes an electronic message computing system that tracks new activity items and generates digest summaries for the user. The system also assigns priorities to the activity items and provides summaries to the user based on importance.

• Electronic message computing system tracks new activity items
• Generative AI model generates digest summaries for the user
• Importance summaries and content summaries are also generated
• Priorities are assigned to each new activity item
• Client computing system conducts user experience based on priorities

Potential Applications: - Email management systems - Task management tools - Notification systems

Problems Solved: - Overwhelming amount of new activity items - Difficulty in prioritizing tasks - Missing important information in messages

Benefits: - Improved productivity - Enhanced organization of tasks - Better time management

Commercial Applications: Title: "Enhanced Email Management System for Increased Productivity" This technology can be used in various industries such as: - Business communication platforms - Project management tools - Customer relationship management systems

Questions about the technology: 1. How does the generative AI model determine the importance of an activity item? - The generative AI model analyzes various factors such as user behavior, keywords, and context to determine the importance of an activity item.

2. How does the client computing system navigate the user through the new activity items? - The client computing system uses the priorities assigned by the electronic message computing system to guide the user through the new activity items.

Original Abstract Submitted

An electronic message computing system tracks new activity items that reflect activities that have not yet been seen by the user. A. generative artificial intelligence (AI) model generates a digest summary that is provided to the user the next time the user accesses the electronic message system. The digest summary summarizes new activity. The generative AI model also generates importance summaries that summarize the importance of a particular activity to the user, and content summaries that summarize the content of an activity item (such as an electronic mail message). The electronic messaging system also assigns a priority to each new activity item and provides the summaries, along with a priority, to a client computing system. The client computing system conducts a user experience, navigating the user through the new activity items, based upon the priority assigned by the electronic message computing system.