A lifetime ago I used it on a document clustering system. It is not very good as a general similarity function, but excellent for quickly finding near duplicates in linear time. About half of the documents of set I was working on (news articles) were duplicates, so an early removal pass would speed up the actual clustering algorithm pass.

My recollection is a bit fuzzy, but I remember specifically using Min-Hash together with random projection.