Automatic priority assignment to e-mail messages based on information extraction and user's action history
2000
A method for assigning a priority to each message received is proposed that automatically extracts the message's features from the message and forms the personal profile of each user. It forms the profile by monitoring the messages sent and received by the user. The personal profile of the user consists of three features; the topics extracted from the message body, and the sender and the receiver(s) found in the message header. The proposed method processes the message body to extract the features of the type and urgency of the message. The priority of a message is calculated as the weighted sum of these features using the weights of each feature as determined by multiple-regression analysis. An experiment demonstrates that the proposed method can be put to practical use such as ranking or filtering the many messages received.
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