Microsoft Technology Licensing, LLC

Fredrik Holm

Victor Poznanski

Bjørn Olstad

Manfred Nysted Berry

Sveinar Rasmussen

Josh Stickler

Ashok Kuppusamy

Viktoriya Taranov

Puneet Narula

Joshua Stickler

Rune Devik

Dmitriy Meyerzon

Helge Grenager Solheim

Michael James Taylor

Vladimir Tankovich

Vidar V Vikjord

Viral Shah

Bjørnstein Lilleby

Nicolai Bodd

Torbjorn Helvik

Rune Djurhuus

Stefan Debald

Lucian Baciu

Erlend Jensen

Sangram Jyoti Bal

Magnus Mortensen

Dmitry Shaporenkov

Robin Miller

Bjornstein Lilleby

Oivind Wang

Tiago Duarte Pregueiro Jerónimo

Øyvind Linna Eikeland

Mathuranthagaa Selvarathnam

Marcin Łukasz Roman

Colamba Patabedige Janaka Chathuranga Perera

Stein Arild Jakobsen

Hakon Brugard

Roger Hansen

A computer search service can receive an enterprise graph query from a client computing device that is remote from the computer search service, with the enterprise graph query identifying an actor object set, a target object set, and a relationship between the actor object set and the target object set. The search service can return results of the enterprise graph query to the client device. The search service can receive from the client device an indication of user input instructing the search service to persist the enterprise graph query, with the indication of user input also instructing the search service to associate the persisted enterprise graph query with an entity. Moreover, in response to receiving the indication of user input, the search service can persist the enterprise graph query as well as associate the persisted enterprise graph query with the entity and/or enter a subscription entry for the query.

Persisted enterprise graph queries

An analysis application utilizes interactivity signals to generate relationships and promote content. One or more interactivity applications, such as a social networking application, are queried to retrieve interactivity signals. Interactivity signals include an interaction pattern that indicates a relationship between a user and relations of the user. A relationship graph is constructed based on the interactivity signals. Content associated with a user is promoted based on the relationship graph. A weight of the interactivity signals is adjusted to improve a ranking of the relationship graph and a ranking of the content.

Utilizing interactivity signals to generate relationships and promote content

Disclosed herein are systems, methods, and software for facilitating enhanced search services. In an implementation, an enhanced search service receives a search query associated with a user and responsively identifies documents relevant to the search query. The enhanced search service also identifies a social label for each of the documents that is at least partly representative of how the document relates socially to the user. The enhanced search service replies to the search query with search results indicative of at least the documents and the social label for each of the documents.

Enhancing search results with social labels

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

Systems and method for routing search query results in a networked computing environment. An initial search query is reformulated into at least one sub-query in accordance with one or more configurable rules. The sub-query is sent to at least one information system or source, and any potential hits associated with the same are optionally combined and then rendered for viewing.

Routing query results

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

Search results obtained from a ranking model are re-ranked based on user-configured ranking rules. For example, a user may desire to: place certain search results at a top/bottom of a ranking of search results; remove some search results; and/or adjust a ranking of some of the search results. A Graphical User Interface (GUI) allows a user to configure the ranking rules (e.g. enter key/value restrictions and to set a boost value) and to preview an application of one or more of the ranking rules. Query language operators that follow a standard operator syntax are created based on the inputs (e.g. a ranking query operator is created that may include multiple user supplied parameters). The user may also specify a portion of the results from which statistics (e.g. standard deviation, average score) are calculated. For example, a user may specify to calculate statistics for the top N number results.

Re-ranking search results

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Oslo, Norway

Fredrik Holm