Microsoft Technology Licensing, LLC

Anson Ho

John M Sanders

Felix G T I Andrew

David Gray

David John Brennan

Scott Andrew Borton

Andi Fabian Rusu

Eric Youngstrom

Stéphane Morichére-Matte

Aryamman Jain

Priya Murali

Aaron Lo

Isaac Supeene

Entities such as hotels, restaurants, resorts, houses, vehicles, and other places and things, are associated with images of each entity. The images are tagged using machine learning to identify what aspects of the associated entity are captured by each image. When a user is requested to select an entity from a set of entities, a user preference model is used to determine what tags the user is interested in. The tags are used to select images associated with the entities from the set of entities, and the selected images are displayed to the user. The user can then provide indicators that show which of the displayed images the user likes or dislikes. Based on the indicators, one or more entities from the set of entities is presented to the user. The model may also be updated based on the indicators.

System and method for recommending entities based on interest indicators

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

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Redmond, WA, United States of America

Anson Ho