Abstract Growing email volumes cause flflooded inboxes and swelled email archives, making search and new email processing diffificult. While emails have rich metadata, such as recipients and folders, suitable for creating fifiltered views, it is often diffificult to choose appropriate fifilters for new inbox messages without fifirst examining messages. In this work, we consider a system that automatically suggests relevant view fifilters to the user for the currently viewed messages. We propose several ranking algorithms for suggesting useful fifilters. Our work suggests that such systems quickly fifilter groups of inbox messages and fifind messages more easily during search.