flo_hu

That's pretty much correct. You would typically calculate a vector for "King-Man+Woman" and then do a query on this based on a cosine distance (or similar measure) over the entire vocabulary.

The query would give you a ranked list of the closest word vectors with scores that indicate how good the match is.

I would also agree with you that it is fine to add additional rules to improve the outcome, but than it shouldn't be made clear in the way the result is presented (as you say, that rarely happens in intro-level tutorials/courses).

Your last point sounds like a cool idea! Using those more in-depth metrics to find weaknesses and see if other, complementary algorithms can fill the gap.

Ok, thanks a lot for bringing this up! I will have a closer look at that.