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I did the same thing last semester inspired by a class at Cornell. We came up with a very, very simple graph-based algorithm that gets above the competition's b

I did the same thing last semester inspired by a class at Cornell. We came up with a very, very simple graph-based algorithm that gets above the competition's baseline (not quite bellkor level but there's lots of tweaking left to be done). Now -- I was under the impression that using extra proprietary data (like imdb) is beyond the bounds of the competition. Can anyone shed some light on this? Maybe I should pick up the project again!

staunch 19y ago
> I was under the impression that using extra proprietary data (like imdb) is beyond the bounds of the competition. Kobayashi Maru Maneuver[1] time. Really though, I'm actually curious about this too. Anyone know if it definitely is against the rules? 1. http://en.wikipedia.org/wiki/Kobayashi_Maru#Other_test-takers_and_their_solutions http://en.wikipedia.org/wiki/Kobayashi_Maru#Other_test-taker...
msg 19y ago
"Why provide rating dates and movie names?" Other datasets provide it. Cinematch doesn’t currently use this data. Use it if you want. As it happens we provided years of release for all but a few movies in the dataset; those seven movies have NULL as the "year" of release. Sorry about that. "Why not provide other data about the movies, like genres, directors, or actors?" We know others do. Again, Cinematch doesn’t currently use any of this data. Use it if you want. http://www.netflixprize.com/faq http://www.netflixprize.com/faq