Microsoft Technology Licensing, LLC

Oleg Melnychuk

Dmitriy Meyerzon

Ashok Kuppusamy

Victor Poznanski

Charles Reeves Little, Ii

Christopher Russell Kehler

Manfred Nysted Berry

Joshua Stickler

Marius Tennoe

Andreas Eide

Ivan Dijan

Stefan Debald

Lucian Baciu

Janaka C Perera

Dmytro Baglai

Alexander J Pope

Carlos G Perez

Berit Herstad

Jonathan Fred Keslin

Melissa Torres

Skye Lee Pazuchanics

Reed George Pankhurst

Shasha Tang

Joshua T Stickler

Mary David

Ricardo Escutia

Aggregation of content based on user-generated topics is provided. Users may associate one or more topics with content items stored across various workloads and repositories. A topic may be a word or phrase of the user's choice, and may be utilized for discoverability of information and aggregation of content items. Topics and content items associated with topics may be acted on (e.g., a user may add or delete topics to associate with a content item, associate or disassociate content items with a topic, embed a set of content items or a stream of content items associated with a topic into other experiences, follow topics, etc.). Content items identified as related to a specific topic may be automatically suggested as possible content items of interest to the user. Additionally, when a user follows a topic, the user may be notified of any changes that occur to the topic.

Aggregating enterprise graph content around user-generated topics

Context and social distance aware fast live people cards are described. A user context and/or a relevant person context may be determined in response to detecting a user interest in viewing contact information. The user context may include user's attributes such as organizational position, preferences, location, working hours, which application the user is employing, etc. Relevant person context may include context information (similar to the user's) for people within a predefined social distance such as the user's peers, supervisor(s), close friends, etc. Information associated with one or more persons of interest to the user may then be selected and retrieved from a cache storage at a server a productivity service to be provided to a client application for display to the user. Information to be stored in server cache for rapid retrieval may also be selected based on user and relevant person context using observed user behavior.

Context and social distance aware fast live people cards

Display screen with graphical user interface

Display screen with icon

Relevant files are determined for a user upon detecting a user action such as save, load, open, view, share, or comparable ones associated with a file. The relevancy may be determined through one or more queries based on, a number of criteria, where the queries are executed on local or remote data stores related to the user. For example, files on the local computing device of the user, files in an enterprise network associated with the user, files on a social network subscribed by the user may be evaluated for various relevancy criteria. Files determined to be relevant may be prioritized, ordered, and/or grouped for suggestion to the user and presented through a user interface of an application performing the detected action.

Relevant file identification using automated queries to disparate data storage locations

Growing community of inventors

Oslo, Norway

Oleg Melnychuk