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... cheap R&D and cheap publicity. Much like the infamous recommendation data challenge, that was never put in production. I am, too, a cynic - and I think th
by photorized 14y ago
... cheap R&D and cheap publicity.
Much like the infamous recommendation data challenge, that was never put in production.
I am, too, a cynic - and I think their data model is flawed from the beginning (user account vs. household, among other things), causing schizophrenic recommendations.
- cscheid 14y agoThe important aspects of the recommendation data challenge was put in production. Of course, it wasn't the precise weights and models, but the important ideas, namely ensembling and RBMs (which didn't exist before the challenge) were put in place. What you're describing is a misunderstanding of the statement from Netflix.
- jedberg 14y ago> user account vs. household Profiles are being tested now and will soon be deployed to all customers.
- twoodfin 14y agoWoo! Will there be a way to disentangle existing watch-instantly histories or to simply reset a profile with a clean one?
- jedberg 14y agoI don't think you can reset a profile, but the workaround is to just make a new profile, which will have a clean slate. Then you can go through and rate a couple things to help it learn.