[graeme]

Very interesting. This did two things:

1. Correctly identified a bunch of movies I had seen and really liked + some promising ones I hadn't seen, and 2. Showed me that I don't like any new movies

None of the 2016 movies were over 70% for me, whereas it identified some movies I had seen and loved as 97+%.

How does this work?

[careersuicide]

I had a similar experience. Every highly rated recommendation was either one of my favorite movies or on my list of movies I need to see very soon but haven't made the time for yet.

It knew to put The Holy Mountain at 100% based off me loving the new Mad Max, feeling ambivalent about the Star Wars prequels, hating the 2007 Tranformers movie, and thinking Anchor Man was good but not great. Like, how the hell? It's spot on, but how did it get that from my input? Is there more info on how this thing is getting its results? I would love to see even a sketchy outline of the algorithm.