Microsoft Technology Licensing, LLC

Stéphane Morichére-Matte

John M Sanders

David Gray

David John Brennan

Gerald S Edsall

Matthew James Searcy

Anson Ho

Isaac Supeene

Joshua A McCoy

Aryamman Jain

Michael John Rayner

Priya Murali

Noah Glenn Wardrip-Fruin

Aaron Lo

Bryan Thomas Blackford

A receiver receives a request to schedule a meeting from a user and in response, prompts the user to provide meeting information including time information and attendee information for scheduling the meeting. A meeting scheduler identifies potential dates and potential times based on the meeting information. The meeting scheduler further detects locations of the attendees based on the potential dates and identifies potential meeting locations based on attendees' location. The meeting scheduler also computes date scores for the potential dates, time scores for the potential times, and location scores for the meeting locations to select a date, a time, and a meeting location based on scores to determine a meeting schedule. The meeting scheduler further selects a conferencing mechanism for the meeting and provides the meeting schedule comprising the selected date, time, and meeting location, and the selected conferencing mechanism as a meeting invite option to the user.

Automated meeting scheduler

Technologies are described herein for providing dynamic natural language interactions between a user and a computing device. In one aspect, a computing device managing a conversation with a user is enhanced with the identification and management of one or more topics. Using techniques described herein, the computing device can focus on one or more topics, shift between topics and/or introduce new topics. Techniques disclosed herein may also manage and process interruptions that may be introduced during a conversation. Dynamic access of contextual information may assist in the generation of contextually-relevant statements, and the contextual information may be used to balance priorities between various topics. Each topic may also have an associated decay rate so that the lifespan of individual topics may track realistic scenarios. In addition, the priorities of individual topics may be dynamically adjusted so topics may track events created by a user and a computing device.

Dynamic natural language conversation

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Vancouver, Canada

Stéphane Morichére-Matte