I have personally implemented discarding the top-n (small n, like 3-5) most similar results in a recommendation system as well as adding a totally random item in the results but it was a small scale system.

The top-n removal was a small but noticeable amount better. That was in part due to the specific content in the database as well as the audience, but it's a thing to try I believe.