We'll go ahead and explore that. We're going to use the groupby command again to group together all of the rows that are for the same movie. Next, we will sum up their correlation score and look at the results:

simCandidates = simCandidates.groupby(simCandidates.index).sum() 
simCandidates.sort_values(inplace = True, ascending = False) 
simCandidates.head(10) 

Following is the result:

Hey, this is looking really good!

So Return of the Jedi (1983) comes out way on top, as it should, with a score of 7, Raiders of the Lost Ark (1981) a close second at 5, and then we start to get to Indiana Jones and the Last Crusade (1989), and some more movies, The Bridge on the River Kwai (1957), Back to the Future (1985),The Sting (1973). These are all movies that I would actually enjoy watching! You know, I actually do like old-school Disney movies too, so Cinderella (1950) isn't as crazy as it might seem.

The last thing we need to do is filter out the movies that I've already rated, because it doesn't make sense to recommend movies you've already seen.