Microsoft Technology Licensing, LLC

Quantarium Group, LLC

Adrian Fanaru

Jason Matthew Cahill

Dag Steinnes Eidesen

Darrin N Hatakeda

John D Fan

Krister Mikalsen

Kevin Lane Brown

Moshe Randall Lutz

Mihai Petriuc

Ethan Gur-esh

Clement Ifrim

Andrei T Aron

Gunnar Ljosdahl Rasmussen

Malcolm Cannon

Parul Manek

Burra Gopal

David Charles Oliver

Vegar Skjaerven Wang

Daniel Keith Winter

Cezar Ungureanasu

Rune Devik

James P Rupke

Magnus Mortensen

Shyam Narayan

Roxana Paval

Diana Manzat

Petru Cociorva

John Smintina

Eugene Shnitko

Hai Liu

Ziyi Wang

Titus Constantin Miron

Dustin G Friesenhahn

Dominic Suciu

Ioan Smintina

Petru Iulian Cociorva

Yang Xiang

Vignesh Ram Nithin Kappagantula

Ethan D Gur-esh

Umesh Unnikrishman

Andrei Aron

Systems and methods are disclosed for computer vision property evaluation. In certain embodiments, a method may comprise executing a computer vision property evaluation operation via a computing system. The computer vision property evaluation operation may include identifying an image of a selected property feature using a first neural network (NN) of the computing system, cropping the image of the selected property feature in a selected way to produce a cropped image using a second NN of the computing system, generating a categorization of the cropped image based on identified details of the selected property feature, and generating a classification of a property corresponding to the selected property feature based on the categorization.

Computer vision property evaluation

Systems and methods are disclosed for smart mapping, including dynamically recalculating a heatmap of displayed map entries based on changes to a map displayed on a viewport. In certain embodiments, a method may comprise providing a display of a map on a user interface, determining selected geographic tiles depicted on the display, and loading selected data corresponding to map entries from the selected geographic tiles only. The method may further comprise generating a heatmap on the display based on comparing the selected data, determining changes at the user interface resulting in a different set of geographic tiles depicted on the display, and dynamically generating a new heatmap based on the changes.

Smart mapping display adjustment

Smart mapping

Collected usage information relating to interaction with content is integrated with operation of a system, such as a content management system. The usage information is collected in response to occurrences of usage events. A user may create, configure and define the usage events according to their needs. The user may also configure/define different values that are associated with the different events. For example, a user may specify: when to count a view (e.g. unique user view or each view); what period of time to collect counts; aggregation of counts (e.g. tenant, site, collection); a weighting for the event; a trim value; when to provide the parameter to a search index of the system such that the value is considered by the search engine of the system; whether or not a parameter is configurable by other users, and the like.

Extensibility model for usage analytics used with a system

Data to be moved from a source system to a target system, for a set of tenants, is first identified. It is then isolated into its own container. The contents are then moved.

Isolating data to be moved across boundaries

Configuring usage events that affect analytics of usage information

Data to be moved from a source system to a target system, for a set of tenants, is first identified. The data is enumerated by a first computing instance in the source system to obtain an enumeration list. Data is copied from the source system to the target system based on the enumeration list by a second computing instance. The data in the source and target systems is then enumerated by a third computing instance to determine whether any data is still to be moved and another enumeration list is generated. The data still to be moved is then moved based on the other enumeration list.

Securely moving data across boundaries

Search results returned by ad hoc queries integrate search results with usage analytics calculated from collected usage information for a system, such as a content management system. In response to receiving a query, the query is submitted to the system to obtain search results. Information from the usage analytics is integrated with the obtained search results. A search index of the system may include all/portion of the usage analytics such that the obtained results from the system may already be integrated with the usage analytics. The system is configurable such that users of the system may configure the usage events that are used to collect the usage information. The users may also configure parameters relating to the usage events and when/how the collected information is stored. The usage analytics may also be used to filter, collapse and boost different items in the search results.

Ad-hoc queries integrating usage analytics with search results

Usage information relating to interaction with content is integrated with operation of a system, such as a content management system. The usage information is collected, stored and provided to the system. The usage information may be integrated with the operation of the system in many different ways (e.g. recommendations for other content, most viewed content, most 'liked' content, content viewed by a type of user, and the like). The usage information may also be used to adjust different operations of the service. For example, the usage information may be used to adjust: a retention time of content (e.g. don't delete a recently viewed document), a crawl policy of content; a backup policy of content; restore schedules; identification of storage tier levels; and the like.

Integrating usage information with operation of a system

A method and computer-readable medium are provided for storing files in an official file repository. According to the method, a generic interface is exposed that includes a first method for requesting that a file be stored in a file vault. A record series is maintained that identifies one or more document types that may be stored in the file vault along with a location for each file type within the file vault where files of the type should be stored. A call may be made to the first method including the file to be stored in the file vault. In response to the call, a location for storing the file in the file vault may be identified based on the contents of the record series. Once the location has been identified, the file is stored in the identified location if the file type is in the record series. If the file type is not in the record series or the necessary property values are not received with the call, the file is placed in a holding zone portion of the file vault. The generic interface may further expose a second method for retrieving the file types identified in the record series and a third method for retrieving one or more properties associated with a file type identified in the record series.

Method and computer-readable medium for providing an official file repository

A system and method is provided to automatically associate type-specific information with a document of a prescribed type. The type information includes instance-specific type information that can be instantiated to each document of the prescribed type. The type information also includes generic type information that is automatically applied to all documents of the prescribed type. Such generic type information includes policies that govern, for example, the life span of the documents or who can access the documents. Instance-specific type information can be demoted to and promoted from a document of the prescribed type. Generic type information can only be demoted to a document of the prescribed type. Type information may be demoted into a document only when the document is requested.

Method for automatically associating data with a document based on a prescribed type of the document

Embodiments are provided to automatically target shared resources in a computer network which are pertinent to a query for information from a client and/or a server through the use of a shared resources portal. In one embodiment, a query is received in the shared resources portal from a requestor. The portal may then identify a target resource server to which to route the query by filtering the information provided by a number of shared resource servers in the network against information regarding an organizational role performed by the requester. The identified target resource server may be one which provides information pertinent to the organizational role performed by the requester. The query is then processed in the identified target resource server.

Automatically targeting and filtering shared network resources

A method and computer-readable medium are provided for jointly managing digital assets and non-digital assets. According to the method, a database is maintained that includes one or more digital assets and records corresponding to one or more non-digital assets. A request may be received to perform an action on an asset identified in the database. In response to the request, a determination is made as to whether the request is to perform an action on a digital or non-digital asset. If the request is to perform an action on a digital asset, a first workflow is performed for completing the action on the digital asset. If the request is to perform an action on a non-digital asset, a second workflow is performed for completing the requested action on the non-digital asset.

Method and computer-readable medium for jointly managing digital assets and non-digital assets

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Sammamish, WA, United States of America

Adrian Fanaru