Microsoft Technology Licensing, LLC

Anton Oguzhan A Andrews

Matthew D Wood

Michael Francis Palermiti, Ii

Poonam Ganesh Hattangady

Caleb Whitmore

Kuleen Haresh Mehta

Alan Mark Thomas

Erich Jose Martino Pena

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.

Electronic message system with artificial intelligence (AI)-generated personalized summarization

Growing community of inventors

Kirkland, WA, United States of America

Anton Oguzhan A Andrews