Microsoft Technology Licensing, LLC

Nathaniel George Freier

David Benjamin Lee

Ilya Tumanov

Christopher Hugh Pratley

Brett David Brewer

Sarah Faulkner

Katrika Marie Morris

Jennifer P Michelstein

Steven Richard Hollasch

Karim Taji Farouki

Bernhard Kohlmeier

Bernhard S J Kohlmeier

Chenguang Yang

Tomasz Lukasz Religa

Madeline Schuster Kleiner

Jennifer Michelstein Halberstam

Jignesh Shah

Amod Anil Agashe

Hai Liu

Douglas Maxwell Taylor

Chad Garrett Waldman

Described herein are mechanisms to allow users to access functionality of applications in a suite of applications. In a first aspect, when a query relating to functionality of an application is received from a user, an index containing both top-level and sub-level functionality is searched. Results are ranked using a trained machine learning model using both context describing user interactions and the search results. A subset of the ranked results are presented to the user as options. In a second aspect the index can comprise entries describing functionality from other applications so that results presented to the user can include cross-application functionality. In a third aspect, the index can be searched using the context prior to receiving a query and adjusting the user interface based on the results. In a fourth aspect, the system can recommend other applications and/or devices that are better suited to a user's intent.

Deep command search within and across applications

Author-created digital agents and content corpora for electronic documents are described. A content corpora service can include application programming interfaces such as for adding content to a corpus, attaching a corpus to a document, retrieving corpora associated with an author, and searching content of a corpus. An author-created digital agent can receive a request from a consumer of a document, determine corpora associated with the document, formulate a query based on the request, and search content associated with the corpora associated with the document.

Content corpora for electronic documents

Author-created digital agents

One or more signals are used to identify regions of interest of an image. The signals are applied to the image to generate one or more models that are based on the regions of interest. The models may present different perspectives of the image by emphasizing various features and focal points. The models may be ranked and displayed according to a scoring paradigm that is based on one or more signals. Multi-tiered feedback mechanisms allow for the collection of user intent and/or other forms of explicit input. Feedback associated to the models may be obtained and used to generate additional models that are based on one or more signals and the feedback. The feedback may also be stored and utilized for machine learning purposes.

Optimizing a visual perspective of media

Concepts and technologies are described herein for transforming data into consumable content. In accordance with the concepts and technologies disclosed herein, a computing device can execute a transformation engine for transforming data into the consumable content. The computing device can be configured to analyze the data to identify relationships within data elements or other portions of the data. The computing device also can determine a visualization model to apply to the data and to choose a world based upon the determined visualization model. The computing device can obtain rules associated with the selected or chosen world, and can apply the rules to the data to generate the output. In some embodiments, the computing device can be configured to obtain and apply feedback to the output.

Transforming data into consumable content

Concepts and technologies are described herein for creating variations when transforming data into consumable content. In accordance with the concepts and technologies disclosed herein, a computing device can execute a transformation engine for transforming data into the consumable content. The computing device can be configured to analyze the data to identify relationships among data elements or other portions of the data, and to identify any possible approaches to transforming the data ('worlds') based upon the relationships and the data. The worlds can be ranked and selected based upon rank. The computing device can obtain rules associated with the selected and apply the rules to the data to generate the output. In some embodiments, the computing device can be configured to obtain and apply feedback regarding the world selection.

Creating variations when transforming data into consumable content

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Seattle, WA, United States of America

Nathaniel George Freier