Microsoft Technology Licensing, LLC

Other

Jon Meling

Bernhard Kohlmeier

Vegar Skjaerven Wang

Jan Heier Johansen

Madeline Schuster Kleiner

Dag Steinnes Eidesen

Kristian Elsebø

Jan-Ove Almli Karlberg

Tor Kreutzer

Amund Kronen Johansen

Torbjørn Helvik

Peter Dahle Heen

Age Kvalnes

Steffen Viken Valvag

Berit Herstad

Vegar Skjærven Wang

Ashok Kuppusamy

Jignesh Shah

Lionel Antonio Robinson

Andreas Eide

Andreea Sandu

Bernt Ivar Olsen

Vegar Pettersen

Erlend Jensen

Srinivas Pushkar Ravipati

Jakob Werner

Jeremy Grubaugh

Katrine Øverlie Svela

Bjørn Elvheim

Terje Johansen

Cem Aykan

Polijana Andrijana Nincevic

Bergljot Engen

Matthew Gunter Kroe

Vegard Thue Bjørlykke

Helge Grenager Solheim

Steffen Viken Valvåg

Krister Mikalsen

Bjørnstein Lilleby

Terence M Zink

Ross Peter Adams

Christian Thuv

Niels Petter Rasch-Olsen

Reid Maker

David Dupree Harris

Daniel Duarte

Michael N Snow

Mario Lucas Pires Vaz Henriques

Bernt Ivar Olsen-kristiansen

Alexander Primo Lopez

Livani Pillay

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

A method and system for intelligently organizing one or more groups of relevant files may include retrieving a user data signal including user-specific data, analyzing the user data signal to identify a parameter relating to file relevance, identifying one or more relevant files in a storage medium based on the parameter at least one of a user category property, a lifecycle stage property, a relevant activity property, or an activity level property of one or more files in the storage medium, organizing the one or more relevant file into the one or more groups of relevant files, and providing for display data relating to the one or more groups of relevant files.

Intelligently identifying and grouping relevant files and providing an event representation for files

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

Technology is disclosed for selecting at least one people highlight, with respect to a person of interest, to be shown on one or more user devices. The user device is monitored to determine a user interest in a person of interest. A set of possible people highlights, with respect to the person of interest is determined. A determination is made as to whether any of the possible people highlights should be suppressed and not presented to the user on the user device. Any people highlights that were determined to be people highlights that should be suppressed and not presented are removed to create a remaining set of possible people highlights. At least one of the remaining set of possible people highlights are presented on the user device.

Intelligent selection and presentation of people highlights on a computing device

Examples of the present disclosure describe systems and methods for automatically assisting conversations using a graph database. In order to minimize misunderstanding of words and phrases used by participants during a conversation, phrases from the conversation may be received by conversation assistance application as the conversation takes place. Entities may be extracted from the phrase based on natural language recognition according to a domain context of the participant being assisted. One or more tags may be looked up from a graph database, and may be provided to the participant as a list of hashtags related to the conversation. Links to documents may be extracted based on the tags for the participant for viewing during the conversation.

Automatically assisting conversations using graph database

Examples of the present disclosure describe systems and methods for leveraging interlinking between resources to determine shared knowledge. In aspects, user interaction with one or more applications or services may be detected. User input associated with the user interaction may be processed to identify information, such as one or more content items, content topics, or entities. The identified information may be used to search one or more data sources for relationships between the identified information and content items, topics, and/or entities stored by the data sources. The results of the search may be collected and/or evaluated to identify the knowledge level of one or more entities with one or more topics. Based on the evaluation, an indication of the identified knowledge level(s) may be provided.

Leveraging interlinking between information resources to determine shared knowledge

An API on a server system automatically gathers an instance of each multiple resources from different sources, storing each instance in the server system. Later, a call to the API is received from a querying application, the call comprising a search query comprising. In response, the API selects one or more of the plurality of resources as search results based on evaluating the criterion or criteria against the already-gathered instances of the resources as stored in the server system. The API returns a search response to the querying application, making the corresponding stored instances available to a consuming party In embodiments the API is 'holistic' in nature, in that the search results may comprise different types of resource (e.g. file, email, task), from different types source (e.g. type of application they originate from), and/or related to the consuming part by different types of activity (e.g. used, modified shared, trending).

Application programming interface arranged to interface with a plurality of data sources

Examples of the present disclosure describe systems and methods for electronic communication and file reference association. In an example, a file reference may refer to file content stored by a file service. The file reference may be used to share the file content in an electronic communication among a plurality of users. The file reference may be identified within the electronic communication, and may be used to generate a file node. The file node may store information relating to the file content and/or file reference. A message node associated with the electronic communication may be created, which may be associated with the file node. The file node may later be used to identify electronic communications relating to the file reference. Thus, electronic communications relating to the file reference may be accessible to a user using the file reference or by searching, rather than manually identifying related electronic communications.

Electronic communication and file reference association

A method and system for receiving data relating to one or more activities performed by a user on a document within a specific time period, the one or more activities being performed by using an application, analyzing the data to identify a category of user activity based at least on the type of activity performed on the document, and transmitting a signal to a device for storage in association with the document, the signal including the identified category.

Intelligently identifying a user's relationship with a document

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

Controlling access to nodes in a relational graph at query time by using an approximate membership query (AMQ) filter and ordered queries based on historic grants or denials of access according to security context enables a more efficient querying of the relational graph while preserving access controls. Security contexts that grant or deny access to a node are stored in an associated AMQ filter and are queried according to the subject's security context in an order based on the frequency at which the security contexts have previously granted or denied access to nodes in the relational graph.

Access controlled graph query spanning

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

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Tromsø, Norway

Jon Meling