[csydas]

Quicksilver on macOS solved this by having a contextual "add weight" option for the results returned by Quicksilver. For me it's been one of the most intuitive solutions to this problem, where you can add incremental weight or just pile on +1000 to the result's weight to shoot it to the top.

For me (and relevant to TFA) this is what is often missing from such learning engines; an option to manually intervene when necessary. It's hubris to assume that the heuristics will always get it right, and I would have to imagine there's valuable data in seeing what manual corrections a User makes, so I'm not sure why it's not included more. A .conf file, the "add/remove" weight as mentioned before, just some way for the user to correct the heuristics when they get it wrong. And they will get it wrong, and frequently do.