16. The method of claim 14 , wherein the message classifier comprises seeding the message classifier to discriminate features of a message that are considered important.
14. A computer implemented method comprising: receiving a plurality of messages comprising text; receiving sensor input, the sensor input indicating a user context; receiving user input associated with each of at least a portion of the plurality of messages, the user input comprising, for each message, an indication of whether the user wishes to be interrupted with that message in an indicated context; based on the user input and the text of the portion of the plurality of messages, training a message classifier, the message classifier comprising one of a Bayesian classifier and a support vector machine classifier, to associate a priority with a received message based on text of the message and a context of the user at a time of receipt of the received message; receiving a subsequent message at a subsequent time; generating a priority of the subsequent message with the message classifier and based on an indication of the user context at the subsequent time, as determined based at least in part on the sensor input; and outputting the priority.