Coordinate: probabilistic forecasting of presence and availability

  • Authors:
  • Eric Horvitz;Paul Koch;Carl M. Kadie;Andy Jacobs

  • Affiliations:
  • Microsoft Research, Redmond, WA;Microsoft Research, Redmond, WA;Microsoft Research, Redmond, WA;Microsoft Research, Redmond, WA

  • Venue:
  • UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
  • Year:
  • 2002

Quantified Score

Hi-index 0.02

Visualization

Abstract

We present methods employed in COORDINATE, a prototype service that supports collaboration and communication by learning predictive models that provide forecasts of users' presence and availability. We describe how data is collected about user activity and proximity from multiple devices, in addition to analysis of the content of users' calendars, the time of day, and day of week. We review applications of presence forecasting embedded in the PRIORITIES application and then present details of the COORDINATE service that was informed by the earlier efforts.