Coordinates: Probabilistic Forecasting of Presence and Availability
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.
Cite
Text
Horvitz et al. "Coordinates: Probabilistic Forecasting of Presence and Availability." Conference on Uncertainty in Artificial Intelligence, 2002.Markdown
[Horvitz et al. "Coordinates: Probabilistic Forecasting of Presence and Availability." Conference on Uncertainty in Artificial Intelligence, 2002.](https://mlanthology.org/uai/2002/horvitz2002uai-coordinates/)BibTeX
@inproceedings{horvitz2002uai-coordinates,
title = {{Coordinates: Probabilistic Forecasting of Presence and Availability}},
author = {Horvitz, Eric and Koch, Paul and Kadie, Carl Myers and Jacobs, Andy},
booktitle = {Conference on Uncertainty in Artificial Intelligence},
year = {2002},
pages = {224-233},
url = {https://mlanthology.org/uai/2002/horvitz2002uai-coordinates/}
}