Microsoft Technology Licensing, LLC

Joshua Stickler

Ashok Kuppusamy

Dmitriy Meyerzon

Victor Poznanski

Charles Reeves Little, Ii

Christopher Russell Kehler

Oleg Melnychuk

Fredrik Holm

Bjørnstein Lilleby

Torbjørn Helvik

Vidar V Vikjord

Viral Shah

Rune Devik

Stefan Debald

Sangram Jyoti Bal

Robin Miller

Øyvind Linna Eikeland

Mathuranthagaa Selvarathnam

Marcin Łukasz Roman

Colamba Patabedige Janaka Chathuranga Perera

Johan Idivuoma

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

An information feed is provided that surfaces information items that are determined to be interesting or relevant to a user. The information feed may be updated with new information items each time the feed is accessed by the user. Information not surfaced to the user in the feed may be accessed by the user via one or more other means, but only those items having a sufficient importance to the user are surfaced in the feed. Items in the feed are sorted by order of importance or relevance to the user. When new items are added to the feed, they are sorted relative to each other, but are displayed separately from previous groupings of items added to the feed. Items may be reposted to different positions in the feed, and items may be manually removed from the feed if desired.

Document and content feed

Recommending relevant content to a user based on personalized implicit and explicit activity signals aggregated for various content items is provided. A user is provided with situational awareness of content they may use by aggregating and displaying content that has been acted on by people the user works with most closely. Relationships between people and activities around content may be represented in a work graph which may be surfaced to the user. Content and relationship information pertaining to content may be surfaced to the user via a user interface. The user may query the content according to a variety of queries such as 'popular with my colleagues,' 'viewed by me' (i.e., the querying user), 'worked on by me,' &#x201c;most viewed,&#x201d; and the like.

Discovering enterprise content based on implicit and explicit signals

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

Joshua Stickler