Microsoft Technology Licensing, LLC

Gaurav Sunil Anand

Paul Baecke

Malik Mehdi Pradhan

Alexander Leo Campbell

Robert David Frye

Abhishek Arun

Kimberly A Wilton

Gustavo M C Guerra

Kevin Timothy Moynihan

Jagruti Dushyant Pandya

Andrea Moro

Sarunas Marciuska

Xiaohu Liu

Ioannis Gabrielides

Giacomo Servadei

Various embodiments discussed herein are directed to improving existing technologies by causing presentation, to one or more user devices associated with one or more meeting attendees, of one or more indications of one or more content items during or before a meeting based at least in part on one or more natural language utterances associated with the meeting, a context of the meeting, and/or a context associated with one or more meeting attendees. In other words, particular embodiments automatically recommend relevant content items responsive to the real-time natural language utterances in the meeting, and/or other context.

Near real-time in-meeting content item suggestions

Systems and methods are disclosed for dynamic search interfaces. In one implementation, a search query is received from a user within a content retrieval interface. The search query is processed with respect to a first content source to determine a relevance of the first content source with respect to the search query. Based on a determination that the first content source exceeds a defined relevance threshold, content from the first content source is requested and/or received. The content received from the first content source is presented within the content retrieval interface.

Dynamic search interfaces

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London, United Kingdom

Gaurav Sunil Anand