2. The apparatus of claim 1 , wherein the plurality of priority classification strategies comprises a dynamic linear combination scheme with instance matching that, based on instance matching between of the contextual features of the incoming message and contextual features of the plurality of feedback instances, the dynamic linear combination scheme with instance matching comprising: assessing a quality of the user-specific classifier; and based on the assessed quality of the user-specific classifier, assigning a weight to each of the global classifier and the user-specific classifier for a linear combination thereof.
1. An apparatus, comprising: an input to receive an incoming message; at least one processor; and a memory tangibly embodying a set of instructions for automating a prioritization of the incoming message, the instructions comprising: a batch learning module that trains a global classifier using contextual features computed from a plurality of e-mail messages and a priority level assigned to each of the plurality of e-mail messages; a feedback learning module that dynamically trains a user-specific classifier based on a plurality of feedback instances provided by a user regarding a priority level of previous incoming e-mail messages to the user; a classification module that: dynamically assesses a message-specific quality of the user-specific classifier by matching contextual features of the incoming message against contextual features of the plurality of feedback instances provided by the user; selects a priority classification strategy from a plurality of priority classification strategies based on the assessed quality of the user-specific classifier, the priority classification strategy using at least one of the global classifier and the user-specific classifier; classifies the incoming message based on the selected priority classification strategy.