Microsoft Technology Licensing, LLC

Viral Shah

Ashok Kuppusamy

Bjørnstein Lilleby

Vishwa Vinay

Michael James Taylor

Torbjørn Helvik

Vidar V Vikjord

Berit Herstad

Sveinar Rasmussen

Ivan Dijan

Ståle Sørensen

Alexander Distel

Zoran Dovedan

Vikramjeet Singh Jassal

Alexander Kempton

Fredrik Holm

Joshua Stickler

Rune Devik

Stefan Debald

Sangram Jyoti Bal

Robin Miller

Øyvind Linna Eikeland

Mathuranthagaa Selvarathnam

Marcin Łukasz Roman

Colamba Patabedige Janaka Chathuranga Perera

Generating and providing a content feed to a user that surfaces information items that are determined to be interesting or relevant to the user including content that is determined to be 'distant' to the user is provided. Explicit user actions are used to discover peers who are not colleagues of the user (e.g., peers with whom the user does not share a close organizational relationship, peers with whom the user does not regularly communicate, etc.), but who the user indicates an interest in via his/her actions. These peers are categorized as elevated peers of the user, and information items associated with and trending around the elevated peers are surfaced to the user in a content feed.

Distant content discovery

A network map of an individual's implicit and explicit people relationships across multiple workloads is provided. Relationships between people may be leveraged and ranking for people relationships may be performed based on activities across multiple workloads. People relationships may be displayed in the network map to provide a visual understanding of relationships and connections. Navigation to any person represented in the network map may be enabled, and commonalities in relationships between a navigating user and a given person navigated to in the network map may be exposed. Trending items and activity streams for a person or group of persons may be shown in the network map.

Displaying and navigating implicit and explicit enterprise people relationships

A personalized view of insights into social activity surrounding a content item is provided that may indicate to a user why a given piece of content may be interesting to him/her. A user's activities, as well as the activities of others (e.g., colleagues of the user) may be shown, including such items as a total number of views, comments, followers, and likes associated with the content item. The insights view may be personalized based on the user's relationships with other users in association with the content item. The user may learn through the personalized view who among his/her relationships have commented, edited, shared, or liked the content item, as well as, how many of the user's colleagues have viewed the content item. In addition, through a search function that may be applied to the view content, a user may learn about related content items based on the social insights.

Displaying and posting aggregated social activity on a piece of enterprise content

Growing community of inventors

Oslo, Norway

Viral Shah