Microsoft Technology Licensing, LLC

Torbjørn Helvik

Jon Meling

Vegar Skjaerven Wang

Bernhard Kohlmeier

Michael James Taylor

Jan Heier Johansen

Vidar V Vikjord

Bjørnstein Lilleby

Vishwa Vinay

Ashok Kuppusamy

Madeline Schuster Kleiner

Viral Shah

Bård Kvalheim

Øivind Wang

Jakob Werner

Jan-Ove Almli Karlberg

Tor Kreutzer

Kjetil Krogvig Bergstrand

Joshua Stickler

Nicolai Bodd

Andreas Eide

Rune Devik

Håkon Bergland Brugård

Kathrine Hammervold

Azmil Macksood

Vegar Skjærven Wang

Bjornstein Lilleby

Chen Xing

Johan Idivuoma

Ainhoa Ostolaza Martin

Roshan Gamage

Lene Christin Rydningen

Examples of the present disclosure describe systems and methods for determining relationships between content items to create a visualization associated with the various content items. The visualization may provide information regarding what various individuals in a group, team, or organization have been working on (e.g., content, documents, projects).

Using a search to determine what a group of people are working on

Techniques are disclosed for assisting users with unknown topics by automatically presenting information associated with the unknown topics to the users. In an example embodiment, an unknown topic is referred to or discussed during a conversation between multiple users. A candidate definition for the topic is determined, where the candidate definition is known by the user that used the topic. Based on a determination that the topic and the candidate definition are unknown to a second user in the conversation, the topic and the candidate definition are provided to one or more output devices for presentation to the second user.

Assistant for providing information on unknown topics

A method and system for intelligently ranking search results may include receiving a search request containing one or more terms for performing a search, providing the one or more terms for conducting a search, and receiving a search results index containing a list of a plurality of documents, each of the plurality of documents corresponding to one of the one or more terms or to one or more other terms associated with the at least one of the one or more terms. Once the search results index is received, the method and system may access a plurality of properties associated with at least one of the plurality of documents, the plurality of properties including a user category associated with the at least one of the plurality of documents, calculating a relevance score for the at least one of the plurality of documents based on at least one of the plurality of properties, selecting a subset of the plurality of documents for presenting to a user based at least on the calculated relevance score, and providing the subset of plurality of documents for presenting to the user.

Intelligent ranking of search results

Techniques for detecting one or more focus areas of a user and structuring activities and content around the focus area(s) are disclosed. The activities of a user, the people associated with the activities, and/or the content associated with the activities are automatically inferred or detected based on the channels of collaboration associated with the focus area(s). Example channels of collaboration include, but are not limited to, electronic mail, instant messages, documents, and in-person and online meetings. Some or all of the activities, people, and/or content are grouped into one or more focus areas, where a focus area relates to an endeavor in which the user focuses on over a period of time. Some or all of the focus areas are presented to the user.

Structuring communication and content for detected activity areas

Examples of the present disclosure describe systems and methods for determining authoritative documents based on implicit interlinking and communication signals. In aspects, a search operation may be initiated from one or more applications or services. The search operation may be processed to identify search information, such as one or more content items, content topics, or entities. The identified search information may be used to search one or more data sources for implicit relationships between the search information and content items and/or entities stored by the data sources. The results of the search may be collected and ranked according to one or more criteria. The ranked results may be provided in response to the search operation.

Determining authoritative documents based on implicit interlinking and communication signals

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 method and system for intelligently notifying collaborators of activity on collaborative content include receiving a first indication of a first collaboration activity performed on a first document by a first collaborator among a plurality of first collaborators associated with the first document and responsive to receiving the first indication, obtaining first activity information for the first document comprising the first collaborative activity and one or more second collaborative activities performed on the first document. The method and system determine a lifecycle stage of the first document, analyze the first activity information and the lifecycle stage of the first document to identify one or more second collaborators among the plurality of first collaborators associated with the first document to notify of the first collaborative activity, and provide for displaying the first collaboration activity to the one or more second collaborators.

Notifications regarding updates to collaborative content

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

Described herein are enterprise search systems and methods that cluster search results that are associated with the same metadata or the same enterprise search site into one or more clustered results panels of a search results panel. The search results that are not included in the clustered results panel(s) are included in a non-clustered results panel of the search results panel.

Clustering search results in an enterprise search system

A computer-implemented method that monitors the activity of different nodes within a system as well as crowd sourcing activity. The computer-implemented method determines that a first node formed a relationship with a second node, generates an edge based on the relationship between the first node and the second node, stores the edge in a graph index and assigns a privacy setting to the edge based on the relationship between the first and second nodes.

Access control of edges in graph index applications

Systems, methods, and software are disclosed herein for implementing enterprise graph search. In at least one implementation, an enterprise search service receives a search request that includes a graph query directed to an enterprise graph. The graph is representative of various objects and actors associated with an enterprise, as well as which of the actors performed which of various actions with respect to each of the various objects. The service searches at least a portion of the enterprise graph to identify a subset of the objects that relate to the actors as defined by the graph query in terms of at least the actors and actions. A reply to the search request may include graph results indicative of the subset of the objects.

Enterprise graph search based on object and actor relationships

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Oslo, Norway

Torbjørn Helvik