So, I can quickly drop any rows that happen to be in my original ratings series using the following code:

filteredSims = simCandidates.drop(myRatings.index) 
filteredSims.head(10) 

Running that will let me see the final top 10 results:

And there we have it! Return of the Jedi (1983), Raiders of the Lost Ark (1981), Indiana Jones and the Last Crusade (1989), all the top results for my fictitious user, and they all make sense. I'm seeing a few family-friendly films, you know, Cinderella (1950), The Wizard of Oz (1939), Dumbo (1941), creeping in, probably based on the presence of Gone with the Wind in there, even though it was weighted downward it's still in there, and still being counted. And, there we have our results, so. There you have it! Pretty cool!

We have actually generated recommendations for a given user and we could do that for any user in our entire DataFrame. So, go ahead and play with that if you want to. I also want to talk about how you can actually get your hands dirty a little bit more, and play with these results; try to improve upon them.

There's a bit of an art to this, you know, you need to keep iterating and trying different ideas and different techniques until you get better and better results, and you can do this pretty much forever. I mean, I made a whole career out of it. So, I don't expect you to spend the next, you know, 10 years trying to refine this like I did, but there are some simple things you can do, so let's talk about that.