Microsoft Technology Licensing, LLC

Torbjorn Helvik

Michael James Taylor

Oystein Fledsberg

Lars Hagen

Vegar Skjaerven Wang

Bård Kvalheim

Jan Heier Johansen

Fredrik Holm

Vidar V Vikjord

Nicolai Bodd

Rune Devik

Magnus Mortensen

Erlend Jensen

Bjornstein Lilleby

Chen Xing

Oivind Wang

Hakon Brugard

Roger Hansen

Stein Arild Jakobsen

Users are most likely to search for documents 'around' them, such as documents which are created, read, or modified by other users they work closely or collaborate with, documents on sites the user frequents, and/or documents trending around them, in addition to documents they've created or interacted with themselves. Therefore, embodiments are directed to relevance ranking of query results based on external context. A search service may receive a query and an external context list, determine a relevance value for each entry in the external context list, and perform the query, where a search index comprising items may be returned in response to performance of the query. The search service may then match entries in the external context list against associated properties of the items, compute a score for the items based on the matching, and rank results of the query based on the score computed for the items.

Rank query results for relevance utilizing external context

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

A graph query is executed against a graph index that connects actors with objects through edges. A graph ranking model is obtained and results of the graph query are ranked, using the graph ranking model, based upon edge data available from edges in the graph that match the query.

Ranking enterprise graph queries

A file usage recorder program that is executed on a processor is disclosed. The file usage recorder program may be configured to determine usage data for a plurality of files stored in a file system. The usage data may include, for each file, a plurality of usage instances by one or more users. The file usage recorder program may further be configured to classify each of the plurality of files as being in one of a plurality of predetermined usage states, based on the determined usage data. The file usage recorder program may further be configured to generate a usage index indicating the usage state of each of the plurality of files, and output the usage index for use by a software program.

File usage recorder program for classifying files into usage states

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Oslo, Norway

Torbjorn Helvik