Microsoft Technology Licensing, LLC

Peter E Loforte

Raymond Robert Ringhiser

Paul Fraedrich Estes

Jered D Aasheim

Pranish Atul Kumar

Keith Douglas Senzel

David B Appel

Anders Hejlsberg

Randy S Kimmerly

Craig Andrew Critchley

Victor A Stone

Timothy R Sullivan

Justin McRoberts

Derek Edward Hoiem

William P Chiles

Adam Miller

Kapil Kumar Tundwal

Katharine Elizabeth Grant

Veronica G Sievers

A system and model by which to manage edits to localized versions of base-language electronic content. The model determines the likelihood of whether a modification made to a document is substantive and should be propagated back to the base electronic content and assists users in identifying these edits. The proposed method can significantly improve workflow efficiency and allow users to feel more comfortable in the development and use of their electronic content across multiple authoring platforms.

Document editing models and localized content management

A method may include receiving request from a first user via an application, for assistance with completion of a document within the application; determining expected characteristics of the completed document, the expected characteristics identifying: a plurality of tasks to be performed to generate the completed document; and a document value; performing a computer-implemented matching process to match the first user with a second user based on the plurality of tasks and document value; and configuring permissions of the application to allow collaborative editing within the application between the first user and second user to complete the document.

System for collaborative editing based on document evaluation

A method may include accessing user activity data with respect to performances of a feature within an electronic application by a user; calculating a similarity score for the user with respect to a level of proficiency for the feature based on the accessed user activity data; and based on the similarity score meeting a threshold value: updating a level of proficiency value in a user profile for the feature of the electronic application; and enabling the user to enter into a collaborative editing mode with another user to complete a document using the feature of the application.

System for classification based on user actions

A method may include maintaining in a database, a plurality of documentation content items for an application; receive, from a user, a request to modify a content item of the plurality of documentation content items, the content item associated with a feature of the application; accessing a rating of the user with respect to the feature; and based on the rating meeting a threshold: authorizing the user to modify the content item; receiving modifications to the content item from the user; and updating the content item in the database based on the modifications.

Metric-based content editing system

A method may include identifying a first set of objects that are part of a document, the document created by an application, and the first set of objects placed in the document by a first user; based on the first set of objects, determining an intent of the first user for the document; automatically adding, by the application, a second set of objects to the document according to the intent; and configuring permissions of the document to allow collaborative editing within the application between the first user and a second user to add a third set of objects to the document.

Machine learning using collaborative editing data

An application and a context-based help system operate on a computer. The application includes a plurality of components that effectuate application functions, where each component of the application is constructed to describe a current context of the component representative of a current state of the component. At least some of the components are active at any one time. The help system includes a help engine that receives the current context from each active component, dynamically builds a current overall context of the application based on each received current context, locates help topics based on the current overall context, and filters and prioritizes the located help topics.

Context-based help engine and dynamic help

A method, apparatus, and software are disclosed for assisting a software developer in managing tasks to be completed by providing a task list as a unified location for developers to locate errors and warnings in code, as well as specify user-defined tasks. The task list is updated in &ldquo;real time&rdquo; as the developer completes tasks and generates new tasks.

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Bellevue, WA, United States of America

Peter E Loforte