Microsoft Technology Licensing, LLC

Jared Adam Brown

Gurpreet Virdi

Patrick Evan Little

John Thomas Kimbell

Lisa Marie Wright

Grigoriy Vyacheslavovich Lyukshin

David Chege Gitau

Marianna Levant

Rory Akira Malcolm Fairweather

Arun Upadhyaya Kishan

Murari Sridharan

Shira Weinberg

Emily Nicole Wilson

Colleen Elizabeth Hamilton

Paul Robert Nash

Paresh J Maisuria

Eddie Fusaro

Robert McKee Howard

Sandeep Paruchuri

Mohammed Nashaat Soliman

Gavin Dean Lazarow

Paul Valentin Borza

Dan Wu

Lejie Xu

Sunil Sudhakar Pandith

Yanshu Fan

Kerri Irene Higgins Sheldon

Xiao Wang

Jonathan Drew Pio

Maryam Ummi Yusuf

A method of operating a device, which includes providing a user interface with a display artifact; in response to an indication a user selected to copy the display artifact, storing multiple levels of detail of the display artifact; allowing the user to paste a selected level of detail by steps of: in response to an indication a user selected an input field and a paste command, displaying a plurality of paste options for pasting the display artifact into the input field, wherein the plurality of paste options each have a unique level of detail for representing the display artifact; allowing the user to select from the plurality of paste options; and in response to an indication a user selected a paste option from the plurality of paste options, pasting the display artifact with a level of detail associated with the selected paste option into the input filed.

Copying user interface artifacts with dynamic levels of detail and shortcut keys

Pooling computing resources based on inferences about a plurality of hardware devices. The method includes identifying inference information about the plurality of devices. The method further includes based on the inference information optimizing resource usage of the plurality of hardware devices.

User presence prediction driven device management

Embodiments of the disclosure render a context menu upon receiving a context menu indication from a user. The context menu comprises a combination of local context menu items and remote context menu items that are selected based on the context received with the context menu indication. The context menu is created by identifying a set of local and remote context menu item providers and receiving both a rank and HTML based on the received context. The set of local and remote context menu items are ranked according to their respective rank and a number of ranked context menu items are selected. The HTML for the selected context menu items are combined and the combined HTML is rendered to yield the context menu. The context menu is presented to the user.

Combined local and server context menus

Methods, systems, and computer program products are provided that enable users to provide explicit declarations that are used to generate recommendations for the users. An explicit declaration is received from a user of a user device. The explicit declaration is configured to influence a subsequent recommendation. The words of the explicit declaration are processed to generate a record. A recommendation rule is generated based on the generated record. The recommendation rule is executed to generate a recommendation for the user. The generated recommendation is provided to the user.

Explicit signals personalized search

A routing system is described herein for intelligently routing actions directed to any one of a collection of user devices that are associated with a user. In operation, the routing system receives a request from a source entity to perform an action. The routing system determines a mode of carrying out the action that involves use of one or more user devices, selected from the collection of user devices. It then instructs the selected user device(s) to carry out the action. In this manner of operation, requests that are directed to an individual user device are no longer necessarily carried out by that individual user device. The routing system chooses the user device(s) to carry out the action based on current context information together with relationship information extracted from a user graph.

Routing actions to user devices based on a user graph

Computing resource management of computing devices

Embodiments extend functionality of a first application with actions from one or more second applications specifically applicable to a content item selected by a user. The selected content item belongs to a category. A description of the selected content item distinguishes the selected content item from other content items in the same category. At least one of a plurality of second applications is selected based on a comparison between the description and application data associated with the second applications. The computing device identifies, to the user, the actions from the second applications applicable to the selected content item. Upon selection of an action, the computing device executes the corresponding second application and provides output data within the context of the first application, or otherwise integrated with the first application experience. In some embodiments, the computing device offers the user execution of a third party application specifically applicable to the selected content item.

Providing item specific functionality via service-assisted applications

Growing community of inventors

Kirkland, WA, United States of America

Jared Adam Brown