Microsoft Technology Licensing, LLC

Wende E Copfer

Venkata Sreekanth Kannepalli

Neha Parikh Shah

Choo Yei Chong

Shabnam Erfani

Heidi Kenyon

Christopher Michael Dollar

Amy Lieh-An Huang

Edward Michael Doran

Megan Elizabeth Slater

Jin Young Kim

Joshua T Goodman

Ying Li

Ethan Nelson Ray

Omar H Shahine

Ewa Dominowska

Melora Zaner-Godsey

Tammy Savage

Allison Anne O'Mahony

Rodney Coleman Edwards

Darwin Kengo Yamamoto

Thomas A Leung

Chun Yu Wong

Balagopal Chenicheri

Paul R Weber

Ashwini Lakshmi Narasimhan

Aly Valli

Harald Becker

Amy L Huang

Kristin D Bromm

Denise D Hui

Matthew S Carr

Deepa Shenvi Priolkar

Aaron Nash Melhaff

A system and method for facilitating convergence includes receiving a request to schedule a meeting at a meeting time, retrieve at least one of user data, contextual data, facility data and map data, the user data including a list of a plurality of meeting participants for the meeting, providing at least one of the list of the plurality of meeting participants, the meeting time, the user data, and the facility data to a trained machine-learning (ML) model for predicting a location at which two or more of the plurality of meeting participants will be located within a given time period prior to the meeting time, receiving the predicted location as an output from the trained ML model, and identifying a meeting location from among one or more meeting venues based on the predicted location of the two or more of the plurality of meeting participants, and providing the meeting location for display in a first selectable user interface element.

Method and system for facilitating convergence

A system and method for facilitating convergence includes receiving data relating to a first user's history of connections with other users, receiving contextual data about the first user, the contextual data including organizational graph data, providing the data and the contextual data as inputs to a trained machine-learning (ML) model for identifying a second user for the first user to connect with based on the data and the contextual data, receiving the identified second user as an output from the trained ML model, and providing the identified second user as a connection suggestion for display in a user interface element.

A method for friction reduction during professional network expansion is implemented via a computing system including a processor. The method includes executing, via a network, an enterprise application on a remote computing system operated by a user associated with an enterprise and surfacing a professional networking UI on a display of the remote computing system during execution of the enterprise application. The method includes generating parameters that are representative of a connection between the user and each suggested professional contact based on enterprise-level data corresponding to the user and each suggested professional contact and generating friction-reducing UI elements for each suggested professional contact based on the generated parameters. The method includes receiving, via the professional networking UI, user input including a command to open a contact connection page corresponding to one of the suggested professional contacts and surfacing the corresponding contact connection page including the generated friction-reducing UI elements.

Friction reduction during professional network expansion

A system and method for managing one or more physical spaces includes receiving data relating to location of a plurality of users, determining based on the location, an occupancy rate of the plurality of users for at least one of the one or more physical spaces, identifying based on the occupancy rate and features provided at the one or more physical spaces, one or more user preferred features, providing the occupancy rate and the user preferred features to a trained machine-learning (ML) model for determining optimal uses for the one or more physical spaces in a future time period, receiving as an output from the trained ML model suggested plans for use or management of the one or more physical spaces in the future time period, and providing the suggested plans for display in a user interface (UI) screen.

Method and system for intelligently managing facilities

A calendar application server, a computer-readable storage medium, and a corresponding method for food service management for food-associated events within the context of a calendar application are described herein. The computer-readable storage medium includes computer-executable instructions that, when executed by processor(s), cause the processor(s) to associate food services with a food-associated event within a calendar application in response to user commands received via an event UI functionality provided by the calendar application, to connect with any of the food services via corresponding APIs in response to user commands received via the event UI functionality provided by the calendar application, to generate food service data for the food-associated event in response to user interaction(s) with any of the food services via corresponding APIs provided within the context of the calendar application, and to reconcile the food service data with food-associated event data corresponding to the food-associated event within the calendar application.

Food service management for food-associated events from calendar application

While interacting with a messaging interface, keywords or other search criteria are automatically identified and used to perform a search. Search results and sponsored links (or advertisements) are displayed to the user within the messaging interface. To alleviate privacy concerns, this process will not be performed unless the user has explicitly opted-in to the search feature. In another embodiment, the user can highlight keywords in an outbound or inbound message to trigger a search without leaving the messaging interface. In another embodiment, the user can input a search keyword or phrase to trigger a search without leaving the messaging interface.

Searching based on messages

A customizable service provider user interface is described. In an implementation, a user is logged onto a suite a web services, to which, the user has not previously logged on. A user interface is output having a plurality of portions, one or more of which are customizable by the user through use of one or more overlays to customize interaction with the suite of web services.

Customizable service provider user interface

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Bothell, WA, United States of America

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