Microsoft Technology Licensing, LLC

Matthew Stephen Howard

Manoj Sharma

Yi Zheng

Richard Malcolm Banks

Benjamin Gustav Wilde

Ransom Lloyd Richardson

Gregory Alan Howard

Nathan D Kile, Jr

Aleksandr Polyakov

Paul Anthony Scudieri

Lyndsy Marie Stopa

Natalie Ann Mionis

Simoune Rebekah Morena Valerio Lucas

Daniel John Niezgocki Chattan

Sudarshan Sundar

Jacob Lee Sanchez

Zeyu Wu

Jyhyun Cho

Jason Peter Campoli

A method for generating a comment capsule for a content segment includes receiving the comment related to the content segment, receiving data associated with the comment, the data including at least one of an identifier for the content segment to which the comment relates, an identifier for a user generating the comment, and a time at which the comment was generated, generating display data for displaying the comment in a comment capsule, and transmitting the display data for displaying the comment capsule in a user interface screen associated with the content segment. The comment capsule is displayed on the user interface screen inline with the content segment, and an appearance of the comment capsule is dynamically changeable based on at least one of a number of comments received for the content segment, a size of the content segment, and a read status of the comment.

Method and system of managing and displaying comments

A system and method for identifying relevant content from other documents and presenting candidate documents/content in a document authoring application is described. A computer-implemented method includes performing an analysis of text of a document being authored by a user with a document authoring application, searching a document library for content elements and documents based on the analysis of the text, identifying candidate documents and candidate content based on the searching, presenting a list of candidate documents or candidate content with the document authoring application, receiving a selection of a candidate document or candidate content from the list in the document authoring application, and including an instance of the selected candidate document or candidate content in the document.

Content element recommendation system

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Cambridge, MA, United States of America

Matthew Stephen Howard