Microsoft Technology Licensing, LLC

Other

Ashok Kuppusamy

Alexander G Gounares

Gur Kimchi

Michael Francis Palermiti, Ii

Jonathan Reed Harris

Jaclyn Carley Knapp

Jesse Daniel Eskes Rusak

Richard Leigh Mains

Jayant Sivarama Krishnamurthy

Chad Steven Estes

Allison Anne O'Mahony

Harris Syed

Dmitriy Meyerzon

Victor Poznanski

Joe Keng Yap

Jon Meling

Steven Nabil Bathiche

John R Douceur

Galen Clyde Hunt

Raymond Edward Endres

Michael James Taylor

Charles Reeves Little, Ii

Torbjørn Helvik

Christopher Russell Kehler

Thomas W Olsen

Viktoriya Taranov

William J Bolosky

Dan Teodosiu

Lisa Joy Stifelman

Christopher Wellington Brumme

Stephen L Lawler

Vishwa Vinay

Bernhard S J Kohlmeier

Pradeep Chilakamarri

Bjørn Olstad

Berit Herstad

Isaac E Nichols

Fredrik Holm

Christopher Hugh Pratley

Alice Jane Bernheim Brush

Sean Edwin Trowbridge

Roberto C Taboada

Eric D Rudder

Efstathios Papaefstathiou

Amund Kronen Johansen

Dag Steinnes Eidesen

Elissa E S Murphy

Scott M Stiles

Eric Dean Tribble

Joseph Schwartz

Steve Lombardi

Joshua Stickler

Amit Dekate

David Ernesto Heekin Burkett

Bjørnstein Lilleby

Diego Hernan Carlomagno

Viral Shah

Talon Edward Ireland

Jose Miguel Rady Allende

Oleg Melnychuk

Vidar V Vikjord

James Noel Helfrich

Andrew Paul McGovern

John Griffin

Stefan Debald

Sangram Jyoti Bal

Robin Miller

Sergiy Gavrylenko

Tudor Buzasu Klein

Robert Scott Dietz

Frederico A Mameri

Jonathan Fred Kern

Lionel Antonio Robinson

Aditi Mandal

Krister Mikalsen

Joseph Freeman Friend

Ricard Roma I Dalfó

Mario Roberto Baumann

Elisabeth Olson

Rune Devik

Susan Marie Grimshaw

Amy Harilal Rambhia

Sarah Siritaratiwat

Richard Eric Andeen

Cindy Liao

Jane Jiyoon Park

Manolis Platakis

Jeremy Grubaugh

Shanna Xiao Chen

Thomas Richard Allen Ham

Ravi Pandya

Ricard Roma

Jacob Eisdorfer

Thanuja Priyadarshani

Urmila Singhal

Suheyla E B Onalan

Stefan Valianu

Aleksandr A Milanin

Øyvind Linna Eikeland

Mathuranthagaa Selvarathnam

Various embodiments discussed herein enable client applications to be heavily integrated with a voice assistant in order to perform commands associated with voice utterances of users via voice assistant functionality and also seamlessly cause client applications to automatically perform native functions as part of executing the voice utterance. Such heavy integration also allows particular embodiments to support multi-modal input from a user for a single conversational interaction. In this way, client application user interface interactions, such as clicks, touch gestures, or text inputs are executed alternative or in addition to the voice utterances.

Voice assistant-enabled client application with user view context and multi-modal input support

Systems and methods are provided for a calendar consultation with a user. The disclosed technology uses at least a personal profile or a personal scheduling model and identifies issues in scheduled calendar events associated with the user. Based on a number of the identified issues, a calendar consultant informs the user about the identified issues and prompts the user whether to interactively resolve the issues through a calendar consultation session. During the calendar consultation session, the calendar consultant interactively informs about issues, suggests options for resolving the issues, confirms an option to perform, and updates the calendar schedule. The calendar consultant proactively suggests the user to participate in interactive calendar consultation sessions and improves productivity of the user performing tasks.

Calendar consultation dialogue processor

Various embodiments discussed herein enable client applications to be heavily integrated with a voice assistant in order to both perform commands associated with voice utterances of users via voice assistant functionality and also seamlessly cause client applications to automatically perform native functions as part of executing the voice utterance. For example, some embodiments can automatically and intelligently cause a switch to a page the user needs and automatically and intelligently cause a population of particular fields of the page the user needs based on a user view context and the voice utterance.

Voice assistant-enabled client application with user view context

Aggregation of content based on user-generated topics is provided. Users may associate one or more topics with content items stored across various workloads and repositories. A topic may be a word or phrase of the user's choice, and may be utilized for discoverability of information and aggregation of content items. Topics and content items associated with topics may be acted on (e.g., a user may add or delete topics to associate with a content item, associate or disassociate content items with a topic, embed a set of content items or a stream of content items associated with a topic into other experiences, follow topics, etc.). Content items identified as related to a specific topic may be automatically suggested as possible content items of interest to the user. Additionally, when a user follows a topic, the user may be notified of any changes that occur to the topic.

Aggregating enterprise graph content around user-generated topics

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

Methods, computer systems, computer-storage media, and graphical user interfaces are provided for facilitating generation and utilization of group folders, according to embodiments of the present technology. In embodiments, an indication to merge a first folder associated with a first entity with a second folder associated with a second entity is received. Based on the indication to merge, a group folder associated with the first entity and the second entity is generated. A representation of the group folder is provided for presentation via a navigation pane of the messaging application. A selection of the representation of the group folder can cause execution of a search query in association with an index of messages to obtain messages associated with the first entity and/or the second entity.

Facilitating generation and utilization of group folders

A system and method for surfacing content relevant is described. The system computes a rank score for each item of a plurality of items that are accessible from a user of an enterprise application. The system identifies a set of relevant items from the plurality of items based on the rank score for each item of the plurality of items. The system surfaces the set of relevant items within a context of a communication application of the user without receiving, from the user, a query for any of the items in the set of relevant items.

Preemptively surfacing relevant content within email

A method comprising: accessing a record of past emails or IM messages between a first user and a plurality of other users; from amongst a set of entities (e.g. other users, user groups or folders), identifying a subset as preferred entities of the first user, wherein at least some of the preferred entities are identified automatically based on at least a frequency of interaction between the first user and each of the entities; independently of receiving any search queries, causing a graphical user interface to display a list of the preferred entities; and based on the first user selecting one of the entities from the list, causing the graphical user interface to display to the first user a filtered-down list of emails and IM messages, being some or all of the emails or IM messages communicated between the first user and the selected entity.

Filtering communications

Systems and techniques for graph-driven authoring in productivity applications can include using context of a user of a productivity application, the existing content of the user's document or an expression input with a command for finding relevant documents, and a date/time to obtain a set of results of relevant documents. The relevant documents include documents associated with people known to the user that contain content relevant to the topic(s) and/or entities from the context and that are current.

Graph-driven authoring in productivity tools

When content is shared, the sharer of the content is identified, as are the audience members. An entry is generated in a data store that identifies the content, the sharer and the audience members. Content retrieval requests can then be processed against the data store to identify and return content.

Retrieval of enterprise content that has been presented

Documents can be deconstructed into component blocks for reuse in productivity applications using a document shredder. The document shredder can identify specific objects within a source document that are likely to be reused, replicate the objects, and store the objects, or component blocks, separate from the source document. The productivity application can access the objects and present these objects to a user of the productivity application for easy insertion into the user's document. The component blocks, or identified relevant objects can be from document sources of previously generated content from a same or different author than the user of a productivity application.

Deconstructing documents into component blocks for reuse in productivity applications

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Seattle, WA, United States of America

Ashok Kuppusamy