Microsoft Technology Licensing, LLC

Patrick Michael Gan

Benjamin Gustav Wilde

Douglas Lane Milvaney

Joan Catharine Weaver

Erin M O'Connell

Aleksandr Polyakov

Sugandha SudeshKumar Kapoor

Brian Daniel Meersma

Theo Lorrain-Hale

Graham Baker

Orkhan Muradov

Sudarshan Sundar

Nikhil Nathwani

Vivek Mogalapalli

Samantha N Powers

Nikhil Vilas Kulkarni

Suzan Marashi

Derik Bjorn Stenerson

Uladzislau Sudzilouski

Jade Kessler

Simoune Rebekah Morena Valerio Lucas

Cosmin Catrinescu

Xiaojun Li

Yi Ke

Maria Montserrat Lozano Dieck

Andrew Boktor

Michal Bloch Ron

Vishwak Reddy Neravetla

Kori Michelle Loomis

Erin M O'CONNELL

Non-limiting examples of the present disclosure pertain to management over the type of notification that is generated and presented to a user relative to an occurrence of a message notification. Processing is executed that evaluates a relevance of a content update to content that is already presented to a user through host application/service endpoints. This helps determine how to present a graphical user interface (GUI) notification as well as link that GUI notification to existing communications that are identified as contextually relevant. Trained artificial intelligence modeling is applied that executes relevance analysis to aid generation of a GUI notification. Said relevance analysis correlates a content portion, of a content update, with a content sub-range assigned in a live representation of the distributed collaborative canvas, where a live representation is an editable and synchronized representation of the distributed collaborative canvas that presents the content sub-range inline within a host application/service endpoint.

Automated notification of content update providing live representation of content inline through host service endpoint(s)

The present disclosure is directed to automated notification generation, where a generated notification comprises a live representation of a content update that is linked and synchronized with a distributed collaborative canvas (or other source content) comprising the content portion which is being updated. A non-limiting example of a content update is a message notification, such as an at-mention (@mention), that is included inline within a content portion. Other triggers for automated notification generation are also described. Generation of an exemplary notification comprises a contextual relevance analysis that not only selects, for a recipient of the message notification, a specific host application/service endpoint to present the notification in but also determines how/what specific content to present inline within the selected host application/service endpoint. The notification is automatically generated and provided to a selected host application/service endpoint for rendering of the notification inline with content of the host application/service endpoint.

A method and system for providing keyword suggestions to a user of a document during use of the document, the keyword suggestions being made to enable selection of the keywords as tags for the document. The method includes examining contents of a document, identifying a keyword related to the document based at least in part on the contents of the document, displaying the keyword on a user interface element relating to the document to enable a user to choose to add the keyword as a tag associated with the document, receiving an input indicating a user's approval of the keyword, and upon receiving the input, associating the keyword with the document as a tag.

Method and system for intelligently suggesting tags for documents

The techniques describe a tool that finds people to help answer a question that arises while a user is consuming content of a file. As the user consumes the content, the techniques identify a signal that indicates an issue (e.g., a question). The signal can be added or somehow inserted into the underlying content of the file based on user input. The techniques determine a portion of the content associated with the signal. The portion of the content, along with any other information provided via the user input, is analyzed to determine a context of the issue. For example, natural language processing techniques can parse text or speech to understand the subject matter. The techniques then access a resolution resource (e.g., a professional network) to identify people that are likely capable of providing assistance, and the people are suggested to the user.

Suggesting people qualified to provide assistance with regard to an issue identified in a file

To manage complexity related to messages and comments about collaboratively edited electronic documents, an electronic document has associated activity data and comment data, where a type of activity data includes messages among users. Message data is stored in a stream of activity data in a format that is accessible both to communication applications outside of the electronic document, and to end user applications for editing the electronic document. The message data can include a document identifier, a user identifier for a sender and/or a receiver, and content of the message. A communication application, given a user identifier, can access document messages for that user, from a single electronic document or over multiple electronic documents. Further, the communication application can be notified when new document messages related to a user identifier are added to one or more electronic documents. Additionally, the end user application, given a document identifier, can access document messages associated with that document identifier for inclusion in the activity data for the document.

Managing messages between users for collaborative editing of electronic documents

Described herein is a system and method for suggesting other user(s) with whom to share an electronic file. During editing of the electronic file, an intent of a user to share the electronic file can be inferred. For each of a plurality of other users, a probability indicative of a likelihood that the user would like to share the electronic file with the particular other user is calculated. Based upon the calculated probabilities, at least one other user to suggest to the user for sharing of the electronic file is identified. Information regarding the identified at least one other user is displayed. Based upon a user selection of another user to share the electronic file with, an algorithm used to calculate the probabilities can be updated.

Smart suggested sharing contacts

Inline command functionality for automatically sharing a document with user access permissions is provided. Automatic sharing of a document is performed in response to a trigger entry within the document. When a trigger entry and a user identifier entry is received, an auto-share system automatically resolves user access permissions in the background, detects sharing permissions, and shares the document with user access permissions without requiring the user who is sharing the document to manually input data. A notification is provided to the sharing user informing the user that the document is being shared, and another notification is provided to the user with whom the document is being shared including a link to the document. If the document was unintentionally shared, the sharing user is enabled to select the notification, and quickly and easily make modifications to the user access permissions for the document.

Automatically sharing a document with user access permissions

An end user application running on a local client computer stores activity data and comment data for an electronic document. Activity data includes data indicative of actions taken by users and associated with the electronic document, such as actions with respect to the electronic document itself, and actions with respect to comments, such as adding a comment and marking a comment as resolved. A displayed comment or comment thread can be marked as resolved in response to a user action. A corresponding action is stored in the activity data. Activity data can be displayed while the electronic document is open in the end user application. An action of resolving a comment can be accessed in the displayed activity data. In response to receiving an input associated with a displayed action of resolving a comment, the comment can be marked as unresolved.

Managing comments for collaborative editing of electronic documents

An end user application running on a local client computer is configured to store a collection of comment data for the electronic document. The comment data includes data representing a plurality of comment threads. Displays of comment data also include hints providing information about the content and context of previous and next comments outside of the currently viewed context of the document. When hints are used in combination with filtering of the comment data, a user can more quickly review comments based on a variety of filtering criteria. A comment map also can be provided as a spatial representation of the distribution of comments within a document. Such a comment map can be provided as a navigational aid for viewing the electronic document and reviewing comments. The comment map provides an additional way for a reviewer to quickly identify areas of a document which may require more review.

User interface for navigating comments associated with collaboratively edited electronic documents

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Salem, MA, United States of America

Patrick Michael Gan