Microsoft Technology Licensing, LLC

Amazon Technologies, Inc.

Raymond Robert Ringhiser

Peter E Loforte

Paul Fraedrich Estes

Jered D Aasheim

Pranish Atul Kumar

Keith Douglas Senzel

David B Appel

Gabriele Masili

Bharath Mukkati Prakash

Stephen Matlock

Dylan J Proulx

Jayasudha Thota

Scot A Marvin

Benjamin C Bernard

Paul Lynn Plummer

Gregory L Bowen

Robert O'Brien

Ravikumar Venkata Seetharama Bandaru

Adam Miller

Charlene Marie Douglass

Kapil Kumar Tundwal

Anusha Meka

Sanjay Varma

Katharine Elizabeth Grant

Nicole Bethany-Abbott Kelly

Veronica G Sievers

William Sean Burrow

Renee Thompson Hunter

Todd Goglia

Jeremy Eugene Kelly

Rodney Derek Brown

Carolyn Grace Tweedy

Kartik Krishnan

Jeffrey Paul Conrad

Siobhan Jane Flanigan

Dennis Michael Pollett

Daoquan Chen

A system for analyzing and prescribing content changes to achieve target readability level evaluates a readability score for a file at least at a whole document level and a sentence level based on a designated readability index; identifies one or more sentences that contribute to the file having the whole document level readability score outside a desired readability score of the readability index; provides a visual indicator for each of the identified one or more sentences; and re-evaluating the readability score for the file at the whole document level upon at least one of the identified one or more sentences being changed.

System for analyzing and prescribing content changes to achieve target readability level

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

In a data asset curating system including a processor, computer-readable medium and data storage storing source data assets, each source data asset including content data and source metadata, the data storage stores instructions causing the system to perform converting, based on a conversion rule defining a set of standard attributes, the source data assets to curatable data assets, each curatable data asset including the content data of the corresponding source data asset and curatable metadata, the curatable metadata including one or more standard attributes; causing a user device to render a GUI configured to provide filtering options for querying the curatable data assets; receiving, from the user device, a curation query including a set of the filtering options selected via the GUI; and identifying, from the curatable data assets, a set of the curatable data assets satisfying the received curation query.

Automated, configurable and extensible digital asset curation tool

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 that enables sharing a technology profile is described herein. The method includes determining at least one technology ecosystem of a first user. The method also includes generating a technology profile for the first user from the technology ecosystem, wherein the technology profile comprises components from the technology ecosystem associated with the first user. Finally, the method includes selectively sharing a shared technology profile with a second user, wherein the shared technology profile is determined by the first user and is derived from the technology profile.

User profile sharing

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

Disclosed are various implementations for a content evaluation application. Various component scores are calculated to reflect a variety of attributes of a document. The component scores may reflect a readability score, a word count, user interactions, content timeliness, or other data. An overall quality score is calculated for a document by applying selected weights to the component scores.

Calculating document quality

Disclosed are various embodiments for a documentation system. Documentation topics for publishing in a node are received from a client. Embodiments of the disclosure determine whether the documentation topic has been assigned a topic identifier. Topic identifiers are assigned if the documentation topic has not been assigned a topic identifier and the documentation topic is assigned to at least one node in the documentation system. The documentation topics are stored in a data store and the topic identifiers are transmitted to the client. The topics are then published in at least one node of the documentation system.

Documentation system

Growing community of inventors

Maple Valley, WA, United States of America

Raymond Robert Ringhiser