Email overload: exploring personal information management of email
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Understanding email use: predicting action on a message
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
k-NN Aggregation with a Stacked Email Representation
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
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What characteristics of an email message make it more likely to be discarded? Statistical analyses of a set of deleted and non-deleted messages revealed several factors that were important in predicting the fate of a message. After controlling for the owner of the particular message, four factors turned out to be most important: history of communication with the sender (messages sent to and messages received from), intra-organizational vs. external sender, and size of the recipient group.