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Abstract

Meeting scheduling resources are provided including systems and methods for optimizing proposed meeting details using historical information derived from meeting invitees. A statistical analysis, which may employ machine-learning techniques, may be used to determine a meeting attendance model based on past meetings and/or events, user activity, or other information associated with a user. Meeting patterns and availability for the user also may be used to generate the meeting attendance model. A meeting manager service may implement the meeting attendance models to facilitate schedule future meetings. The meeting manager service may also determine an attendance importance for invitees, a likelihood of attending the proposed meeting, given specific meeting features of the proposed meeting (such as time, location, or other meeting features) and recommend optimal meeting features for the proposed meeting.

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First Claim