Microsoft Technology Licensing, LLC

Bjørnstein Lilleby

Ashok Kuppusamy

Torbjørn Helvik

Vidar V Vikjord

Viral Shah

Vishwa Vinay

Michael James Taylor

Joshua Stickler

Jon Meling

Steffen Viken Valvåg

Fredrik Holm

Rune Devik

Stefan Debald

Sangram Jyoti Bal

Robin Miller

Mathuranthagaa Selvarathnam

Marcin Łukasz Roman

Colamba Patabedige Janaka Chathuranga Perera

Johan Idivuoma

Bernt Ivar Olsen-kristiansen

Øyvind Linna Eikeland

A computerized method filters search result content using user interaction data. Search result content, including search result entries, is presented. User interaction data is received that is indicative of a user's interactions with the presented search result content and a result filter rule is determined using the user interaction data. Filtered search result content is generated using the determined result filter rule and the generated filtered search result content, including a portion of the search result entries, is presented. In some examples, the user is prompted to accept the filtering of the search result content prior to the generation of the filtered search result content. Thus, the search result content is dynamically filtered based on the user's interactions with that content while the user reviews the content.

Dynamically filtering search results using contextual user interaction data

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

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

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

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Tromso, Norway

Bjørnstein Lilleby