Microsoft Technology Licensing, LLC

Eric Youngstrom

Scott Andrew Borton

Felix Gti Andrew

Craig Hoffman

Ram Bracha

John P Falcone

Hein Thu Htat

Felix G T I Andrew

Ted Tai-Yu Chen

George Oliver Johnston

Andi Fabian Rusu

Anson Ho

Jesse MacDonald Smith

Jeremy Brent Jackson

Nicholas James Pavlovsky

Jason John Fierst

Daniel Taylor Rosas

Entities such as hotels, restaurants, resorts, houses, vehicles, and other places and things, are associated with images of each entity. The images are tagged using machine learning to identify what aspects of the associated entity are captured by each image. When a user is requested to select an entity from a set of entities, a user preference model is used to determine what tags the user is interested in. The tags are used to select images associated with the entities from the set of entities, and the selected images are displayed to the user. The user can then provide indicators that show which of the displayed images the user likes or dislikes. Based on the indicators, one or more entities from the set of entities is presented to the user. The model may also be updated based on the indicators.

System and method for recommending entities based on interest indicators

Embodiments relate to efficiently viewing data items in a three-dimensional (3D) space. The 3D space includes a curved surface that is concave with respect to a user-controlled viewpoint in the 3D space. The viewpoint is for controlling the direction and location of a rendered view of the 3D space. The data items have respective values associated therewith. The data items are arranged on the surface according to their values so that a user's ease of viewing the data items varies with their values; data items with some values may be arranged to be easier to view by manipulating the view direction than others (e.g., those with lower values). Ease of viewing can stem from how the surface is oriented relative to the viewpoint, the orientation of the curvature of the surface, the orientation of a controlling reference orientation, alignment of the data items on the surface, etc.

Curved display of content in mixed reality

A computer system is provided that includes one or more processors configured to define a virtual model of a workspace that is world-locked to a three-dimensional environment by a pair of anchor points. The one or more processors are configured to adjust a fit of the virtual model to the workspace by adjusting a position of a virtual component of the virtual model relative to the pair of anchor points. The one or more processors are configured to receive telemetry data including position information indicating a location of a telemetry event relative to the pair of anchor points in the workspace, and determine a visualization model based on the virtual model of the workspace, and project telemetry data to the visualization model based on a mapping of a pair of points in the visualization model to the pair of anchor points in the virtual model.

Projecting telemetry data to visualization models

Curved display on content in mixed reality

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Kirkland, WA, United States of America

Eric Youngstrom